Electronic device including camera, operating method thereof, and recording medium

Abstract

According to an embodiment, an electronic device comprises: a display; a memory; a camera; and a processor, wherein the memory may store instructions which, when executed by the processor, cause the electronic device to: display, on the display, a preview image obtained by photographing, through the camera, a first object on the basis of first setting values of the camera; determine second setting values of the camera in which at least some of the first setting values are different by analyzing the preview image; determine the type or the number of at least one additional image to photograph the first object on the basis of the second setting values; obtain, through the camera, an image by photographing the first object on the basis of the first setting values and the at least one additional image by photographing the first object on the basis of the second setting values and the type or the number; and store, in the memory, the at least one additional image or information about the second setting values as metadata of the image. Other various embodiments are possible.

Description

Electronic device including a camera, method of operating the same, and recording medium

[0001] Embodiments of the present disclosure relate to an electronic device including a camera, a method of operating the same, and a recording medium.

[0002] Electronic devices can refer to devices that perform specific functions according to the programs installed on them, such as home appliances, electronic notebooks, portable multimedia players, mobile communication terminals, tablet PCs, audio / video devices, desktop / laptop computers, or car navigation systems. For example, these electronic devices can output stored information as audio or video. As the integration of electronic devices increases and ultra-high-speed, high-capacity wireless communication becomes more widespread, a single electronic device, such as a mobile communication terminal, can now be equipped with various functions. For example, in addition to communication functions, entertainment functions such as games, multimedia functions such as music / video playback, communication and security functions for mobile banking, or functions such as schedule management and electronic wallets are being integrated into a single electronic device.

[0003] As digital camera technology developed, electronic devices equipped with compact, lightweight camera modules became commercially available. With camera modules integrated into electronic devices we typically carry with us (e.g., mobile terminals), users could conveniently utilize a variety of features, including not only taking photos and videos, but also video calling and augmented reality.

[0004] According to one embodiment, an electronic device may include a display, memory, a camera, and a processor.

[0005] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to display a preview image of a first object captured through the camera based on first setting values ​​of the camera on the display.

[0006] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to analyze the preview image to determine second setting values ​​of the camera that are different from at least some of the first setting values.

[0007] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine a type or number of at least one additional image to be captured of the first object based on the second setting values.

[0008] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to obtain, through the camera, an image of the first object captured based on the first set values ​​and at least one additional image of the first object captured based on the second set values ​​and the type or number.

[0009] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to store information about the at least one additional image and the second setting values ​​as metadata of the image in the memory.

[0010] According to one embodiment, a method of operating an electronic device may include an operation of displaying a preview image of a first object captured by a camera included in the electronic device based on first setting values ​​of the camera on a display included in the electronic device.

[0011] According to one embodiment, a method of operating an electronic device may include analyzing the preview image to determine second setting values ​​of the camera, wherein at least some of the first setting values ​​are different.

[0012] According to one embodiment, the method of operating the electronic device may include an operation of determining a type or number of at least one additional image to be captured of the first object based on the second setting values.

[0013] According to one embodiment, the operating method of the electronic device may include an operation of acquiring, through the camera, a first image captured of the first object based on the first setting values ​​and at least one additional image captured of the first object based on the second setting values ​​and the type or the number.

[0014] According to one embodiment, the method of operating an electronic device may include storing information about the at least one additional image or the second setting values ​​as metadata of the image in a memory included in the electronic device.

[0015] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include an operation of displaying a preview image of a first object captured by a camera included in the electronic device based on first setting values ​​of the camera on a display included in the electronic device.

[0016] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, the at least one operation including analyzing the preview image to determine second setting values ​​of the camera, at least some of which are different from the first setting values.

[0017] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include an operation of determining the number or type of at least one additional image to be captured of the first object based on the second setting values.

[0018] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include an operation of acquiring, through the camera, a first image of the first object captured based on the first set values ​​and at least one additional image of the first object captured based on the second set values ​​and the type or the number.

[0019] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include storing the at least one additional image as metadata of the first image in a memory included in the electronic device.

[0020] FIG. 1 is a block diagram of an electronic device within a network environment according to various embodiments.

[0021] FIG. 2 is a block diagram illustrating a camera module according to one embodiment.

[0022] FIG. 3A is a schematic block diagram of an electronic device according to one embodiment.

[0023] FIG. 3b is a diagram illustrating an image signal processor included in an electronic device according to one embodiment.

[0024] FIG. 3c is a diagram illustrating an analysis module according to one embodiment.

[0025] FIG. 4 is a diagram for explaining an operation of an electronic device according to one embodiment of the present invention to obtain an additional image that improves at least one of brightness and saturation of a first image.

[0026] FIG. 5A is a flowchart illustrating an operation of an electronic device according to one embodiment to acquire a first image and at least one additional image.

[0027] FIG. 5b is a flowchart illustrating an operation of an electronic device according to one embodiment to acquire a first image and at least one additional image.

[0028] FIG. 6 is a flowchart illustrating an operation of an electronic device according to one embodiment to acquire at least one additional image based on a second exposure value different from a first exposure value of a preview image.

[0029] FIG. 7 is a flowchart illustrating an operation of an electronic device according to one embodiment of the present invention to obtain at least one additional image based on a second color space different from a first color space of a preview image.

[0030] FIG. 8 is a flowchart illustrating an operation of an electronic device according to one embodiment of the present invention to acquire at least one additional image based on a user-set value related to at least one of saturation or brightness according to a user's preference.

[0031] FIG. 9 is a flowchart illustrating an operation of an electronic device according to one embodiment of the present invention to store information about at least one area included in a preview image as meta information of a first image.

[0032] FIG. 10A is a diagram for explaining an operation of an electronic device according to one embodiment of the present invention to acquire at least one additional image for improving brightness when a portion in which clipping has occurred is identified in a histogram representing brightness of a first image.

[0033] FIG. 10b is a diagram for explaining an operation of an electronic device according to one embodiment of the present invention to acquire at least one additional image for improving brightness when a portion in which clipping has occurred is identified in a histogram representing brightness of a first image.

[0034] FIG. 10c is a diagram for explaining an operation of an electronic device according to one embodiment of the present invention to acquire at least one additional image for improving brightness when a portion in which clipping has occurred is identified in a histogram of each of a plurality of channels representing brightness of a first image.

[0035] FIG. 11 is a diagram for explaining an operation of an electronic device according to one embodiment of the present invention to obtain at least one additional image for improving saturation based on a second color space different from a first color space of a preview image.

[0036] FIG. 12 is a diagram for explaining an operation of an electronic device according to one embodiment to check information about at least one area among a plurality of areas included in a preview image.

[0037] FIG. 1 is a block diagram of an electronic device (101) within a network environment (100) according to various embodiments. Referring to FIG. 1, in the network environment (100), the electronic device (101) may communicate with the electronic device (102) via a first network (198) (e.g., a short-range wireless communication network), or may communicate with at least one of the electronic device (104) or the server (108) via a second network (199) (e.g., a long-range wireless communication network). In one embodiment, the electronic device (101) may communicate with the electronic device (104) via the server (108). According to one embodiment, the electronic device (101) may include a processor (120), a memory (130), an input module (150), an audio output module (155), a display module (160), an audio module (170), a sensor module (176), an interface (177), a connection terminal (178), a haptic module (179), a camera module (180), a power management module (188), a battery (189), a communication module (190), a subscriber identification module (196), or an antenna module (197). In some embodiments, the electronic device (101) may omit at least one of these components (e.g., the connection terminal (178)), or may have one or more other components added. In some embodiments, some of these components (e.g., the sensor module (176), the camera module (180), or the antenna module (197)) may be integrated into one component (e.g., the display module (160)).

[0038] The processor (120) may, for example, execute software (e.g., a program (140)) to control at least one other component (e.g., a hardware or software component) of the electronic device (101) connected to the processor (120) and perform various data processing or operations. According to one embodiment, as at least a part of the data processing or operations, the processor (120) may store commands or data received from other components (e.g., a sensor module (176) or a communication module (190)) in a volatile memory (132), process the commands or data stored in the volatile memory (132), and store result data in a non-volatile memory (134). According to one embodiment, the processor (120) may include a main processor (121) (e.g., a central processing unit or an application processor) or an auxiliary processor (123) (e.g., a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor) that can operate independently or together with the main processor (121). For example, when the electronic device (101) includes the main processor (121) and the auxiliary processor (123), the auxiliary processor (123) may be configured to use less power than the main processor (121) or to be specialized for a given function. The auxiliary processor (123) may be implemented separately from the main processor (121) or as a part thereof.

[0039] The auxiliary processor (123) may control at least a portion of functions or states associated with at least one component (e.g., a display module (160), a sensor module (176), or a communication module (190)) of the electronic device (101), for example, on behalf of the main processor (121) while the main processor (121) is in an inactive (e.g., sleep) state, or together with the main processor (121) while the main processor (121) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (123) (e.g., an image signal processor or a communication processor) may be implemented as a part of another functionally related component (e.g., a camera module (180) or a communication module (190)). In one embodiment, the auxiliary processor (123) (e.g., a neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence models may be generated through machine learning. This learning can be performed, for example, in the electronic device (101) itself where artificial intelligence is performed, or can be performed through a separate server (e.g., server (108)). The learning algorithm can include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model can include multiple artificial neural network layers.The artificial neural network may be one of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, or a combination of two or more of the above, but is not limited to the examples described above. In addition to, or alternatively to, a hardware structure, an artificial intelligence model may include a software structure.

[0040] The memory (130) can store various data used by at least one component (e.g., processor (120) or sensor module (176)) of the electronic device (101). The data can include, for example, software (e.g., program (140)) and input data or output data for commands related thereto. The memory (130) can include volatile memory (132) or non-volatile memory (134).

[0041] The program (140) may be stored as software in the memory (130) and may include, for example, an operating system (142), middleware (144), or an application (146).

[0042] The input module (150) can receive commands or data to be used in a component of the electronic device (101) (e.g., a processor (120)) from an external source (e.g., a user) of the electronic device (101). The input module (150) can include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen).

[0043] The audio output module (155) can output audio signals to the outside of the electronic device (101). The audio output module (155) can include, for example, a speaker or a receiver. The speaker can be used for general purposes, such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. In one embodiment, the receiver can be implemented separately from the speaker or as part of the speaker.

[0044] The display module (160) can visually provide information to an external party (e.g., a user) of the electronic device (101). The display module (160) may include, for example, a display, a holographic device, or a projector and a control circuit for controlling the device. According to one embodiment, the display module (160) may include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of a force generated by the touch.

[0045] The audio module (170) can convert sound into an electrical signal, or vice versa, convert an electrical signal into sound. According to one embodiment, the audio module (170) can acquire sound through the input module (150), output sound through the sound output module (155), or an external electronic device (e.g., electronic device (102)) (e.g., speaker or headphone) directly or wirelessly connected to the electronic device (101).

[0046] The sensor module (176) can detect the operating status (e.g., power or temperature) of the electronic device (101) or the external environmental status (e.g., user status) and generate an electrical signal or data value corresponding to the detected status. According to one embodiment, the sensor module (176) can include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0047] The interface (177) may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device (101) with an external electronic device (e.g., the electronic device (102)). In one embodiment, the interface (177) may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

[0048] The connection terminal (178) may include a connector through which the electronic device (101) may be physically connected to an external electronic device (e.g., electronic device (102)). According to one embodiment, the connection terminal (178) may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

[0049] The haptic module (179) can convert electrical signals into mechanical stimuli (e.g., vibration or movement) or electrical stimuli that a user can perceive through tactile or kinesthetic sensations. According to one embodiment, the haptic module (179) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0050] The camera module (180) can capture still images and videos. According to one embodiment, the camera module (180) may include one or more lenses, image sensors, image signal processors, or flashes.

[0051] The power management module (188) can manage power supplied to the electronic device (101). According to one embodiment, the power management module (188) can be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

[0052] A battery (189) may power at least one component of the electronic device (101). In one embodiment, the battery (189) may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

[0053] The communication module (190) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device (101) and an external electronic device (e.g., electronic device (102), electronic device (104), or server (108)), and the performance of communication through the established communication channel. The communication module (190) may operate independently from the processor (120) (e.g., application processor) and may include one or more communication processors that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication module (190) may include a wireless communication module (192) (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module (194) (e.g., a local area network (LAN) communication module, or a power line communication module). Among these communication modules, the corresponding communication module can communicate with an external electronic device (104) via a first network (198) (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network (199) (e.g., a long-range communication network such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., a LAN or WAN)). These various types of communication modules can be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module (192) can verify or authenticate the electronic device (101) within a communication network such as the first network (198) or the second network (199) by using subscriber information (e.g., an international mobile subscriber identity (IMSI)) stored in the subscriber identification module (196).

[0054] The wireless communication module (192) can support 5G networks and next-generation communication technologies following the 4G network, such as NR access technology (new radio access technology). The NR access technology can support high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and connection of multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency communications)). The wireless communication module (192) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (192) can support various technologies for securing performance in a high-frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module (192) can support various requirements specified in the electronic device (101), an external electronic device (e.g., the electronic device (104)), or a network system (e.g., the second network (199)). According to one embodiment, the wireless communication module (192) can support a peak data rate (e.g., 20 Gbps or more) for eMBB realization, a loss coverage (e.g., 164 dB or less) for mMTC realization, or a U-plane latency (e.g., 0.5 ms or less for downlink (DL) and uplink (UL), or 1 ms or less for round trip) for URLLC realization.

[0055] The antenna module (197) can transmit or receive signals or power to or from an external device (e.g., an external electronic device). In one embodiment, the antenna module (197) may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). In one embodiment, the antenna module (197) may include a plurality of antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network, such as the first network (198) or the second network (199), may be selected from the plurality of antennas by, for example, the communication module (190). A signal or power may be transmitted or received between the communication module (190) and an external electronic device via the at least one selected antenna. In some embodiments, in addition to the radiator, another component (e.g., a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module (197).

[0056] In one embodiment, the antenna module (197) may generate a mmWave antenna module. In one embodiment, the mmWave antenna module may include a printed circuit board, an RFIC disposed on or adjacent a first side (e.g., a bottom side) of the printed circuit board and capable of supporting a designated high frequency band (e.g., a mmWave band), and a plurality of antennas (e.g., an array antenna) disposed on or adjacent a second side (e.g., a top side or a side side) of the printed circuit board and capable of transmitting or receiving signals in the designated high frequency band.

[0057] At least some of the above components can be interconnected and exchange signals (e.g., commands or data) with each other via a communication method between peripheral devices (e.g., a bus, GPIO (general purpose input and output), SPI (serial peripheral interface), or MIPI (mobile industry processor interface)).

[0058] According to one embodiment, commands or data may be transmitted or received between the electronic device (101) and an external electronic device (104) via a server (108) connected to a second network (199). Each of the external electronic devices (102 or 104) may be the same or a different type of device as the electronic device (101). According to one embodiment, all or part of the operations executed in the electronic device (101) may be executed in one or more of the external electronic devices (102, 104, or 108). For example, when the electronic device (101) is to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device (101) may, instead of or in addition to executing the function or service itself, request one or more external electronic devices to perform the function or at least a part of the service. One or more external electronic devices that receive the request may execute at least a portion of the requested function or service, or an additional function or service related to the request, and transmit the result of the execution to the electronic device (101). The electronic device (101) may process the result as is or additionally and provide it as at least a portion of a response to the request. For this purpose, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device (101) may provide an ultra-low latency service by using distributed computing or mobile edge computing, for example. In another embodiment, the external electronic device (104) may include an Internet of Things (IoT) device. The server (108) may be an intelligent server utilizing machine learning and / or a neural network. According to one embodiment, the external electronic device (104) or the server (108) may be included in the second network (199).The electronic device (101) can be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

[0059] FIG. 2 is a block diagram (200) illustrating a camera module (180) according to one embodiment.

[0060] Referring to FIG. 2, the camera module (180) may include a lens assembly (210), a flash (220), an image sensor (230), an image stabilizer (240), a memory (250) (e.g., a buffer memory), or an image signal processor (260). The lens assembly (210) may collect light emitted from a subject that is a target of image capturing. The lens assembly (210) may include one or more lenses. According to one embodiment, the camera module (180) may include a plurality of lens assemblies (210). In this case, the camera module (180) may form, for example, a dual camera, a 360-degree camera, or a spherical camera. Some of the plurality of lens assemblies (210) may have the same lens properties (e.g., angle of view, focal length, autofocus, f-number, or optical zoom), or at least one lens assembly may have one or more lens properties that are different from the lens properties of the other lens assemblies. A lens assembly (210) may include, for example, a wide-angle lens or a telephoto lens.

[0061] The flash (220) can emit light used to enhance light emitted or reflected from a subject. In one embodiment, the flash (220) can include one or more light-emitting diodes (e.g., red-green-blue (RGB) LED, white LED, infrared LED, or ultraviolet LED), or a xenon lamp. The image sensor (230) can acquire an image corresponding to the subject by converting light emitted or reflected from the subject and transmitted through the lens assembly (210) into an electrical signal. In one embodiment, the image sensor (230) can include one image sensor selected from among image sensors having different properties, such as, for example, an RGB sensor, a black and white (BW) sensor, an IR sensor, or a UV sensor, a plurality of image sensors having the same property, or a plurality of image sensors having different properties. Each image sensor included in the image sensor (230) can be implemented using, for example, a CCD (charged coupled device) sensor or a CMOS (complementary metal oxide semiconductor) sensor.

[0062] The image stabilizer (240) can move at least one lens or image sensor (230) included in the lens assembly (210) in a specific direction or control the operating characteristics of the image sensor (230) (e.g., adjusting the read-out timing, etc.) in response to the movement of the camera module (180) or the electronic device (101) including the same. This allows compensating for at least some of the negative effects of the movement on the captured image. In one embodiment, the image stabilizer (240) can detect such movement of the camera module (180) or the electronic device (101) by using a gyro sensor (not shown) or an acceleration sensor (not shown) disposed inside or outside the camera module (180). In one embodiment, the image stabilizer (240) can be implemented as, for example, an optical image stabilizer. The memory (250) can temporarily store at least a portion of the image acquired through the image sensor (230) for the next image processing task. For example, when image acquisition is delayed due to the shutter, or when multiple images are acquired at high speed, the acquired original image (e.g., a Bayer-patterned image or a high-resolution image) is stored in the memory (250), and a corresponding copy image (e.g., a low-resolution image) can be previewed through the display module (160). Thereafter, when a specified condition is satisfied (e.g., a user input or a system command), at least a portion of the original image stored in the memory (250) can be acquired and processed, for example, by the image signal processor (260). According to one embodiment, the memory (250) can be configured as at least a portion of the memory (130) or as a separate memory that operates independently therefrom.

[0063] The image signal processor (260) can perform one or more image processing operations on an image acquired through an image sensor (230) or an image stored in a memory (250). The one or more image processing operations may include, for example, depth map generation, 3D modeling, panorama generation, feature extraction, image synthesis, or image compensation (e.g., noise reduction, resolution adjustment, brightness adjustment, blurring, sharpening, or softening). Additionally or alternatively, the image signal processor (260) may perform control (e.g., exposure time control, read-out timing control, etc.) on at least one of the components included in the camera module (180) (e.g., image sensor (230)). An image processed by the image signal processor (260) may be stored back in the memory (250) for further processing or provided to an external component of the camera module (180) (e.g., memory (130), display module (160), electronic device (102), electronic device (104), or server (108)). In one embodiment, the image signal processor (260) may be at least a part of the processor (120). It may be configured as a separate processor that is configured or operates independently from the processor (120). If the image signal processor (260) is configured as a separate processor from the processor (120), at least one image processed by the image signal processor (260) may be displayed through the display module (160) as is or after undergoing additional image processing by the processor (120).

[0064] According to one embodiment, the electronic device (101) may include a plurality of camera modules (180), each having different properties or functions. In this case, for example, at least one of the plurality of camera modules (180) may be a wide-angle camera, and at least another may be a telephoto camera. Similarly, at least one of the plurality of camera modules (180) may be a front camera, and at least another may be a rear camera.

[0065] FIG. 3A is a schematic block diagram of an electronic device according to one embodiment.

[0066] Referring to FIG. 3A, an electronic device (301) according to one embodiment may analyze a preview image displayed through a display (360). According to one embodiment, the operation of analyzing the preview image may include an operation of determining whether there is a portion in which the brightness of a first image to be captured based on the preview image is darker or brighter than a reference value and thus requires supplementation. According to one embodiment, the operation of analyzing the preview image may include an operation of determining whether there is a portion in which the saturation of a first image to be captured based on the preview image is higher or lower than a reference value and thus requires supplementation. For example, if the electronic device (301) determines that the exposure of at least one area (e.g., an area including the sky) among a plurality of areas included in the preview image is greater than a reference value, the electronic device (301) according to one embodiment may determine that there is a portion in which supplementation is required as a result of analyzing the preview image. In one embodiment, the electronic device (301) can acquire the first image and the additional image at the same time. The electronic device (301) can also acquire the additional image after acquiring the first image.

[0067] According to one embodiment, the electronic device (301) may acquire an additional image as a result of developing a raw image. According to one embodiment, the electronic device (301) may store a raw image acquired through the camera (310) in the memory (330). According to one embodiment, the raw image may represent data that has not been processed by an image sensor (e.g., the image sensor (230) of FIG. 2). According to one embodiment, the first setting values ​​of the camera (310) identified at the time the raw image is captured may be stored as metadata of the raw image. According to one embodiment, the electronic device (301) may acquire an additional image by developing the first image based on the first setting values ​​of the camera (310) by using (e.g., reading) the raw image stored in the memory (330). According to one embodiment, the electronic device (301) may acquire an additional image by developing the raw image by adjusting at least some of the first setting values. For example, an image file including a first image and an additional image may include a JPEG or JPG. The bit depth of the image file of the original image may be greater than the bit depth of the image file including the first image and the additional image (e.g., 8 bits).

[0068] According to one embodiment, the electronic device (301) stores the first image and the additional image as a single image file, and the additional image may be stored as metadata of the first image. At this time, the image file may be stored in a format of a common standard-dynamic-range (SDR) range, such as the joint photographic experts group (JPEG) format or the JPG format.

[0069] After this, the electronic device (301) according to one embodiment can display an image with improved brightness or saturation of the first image on the display (360) by overlaying an additional image on the first image. According to one embodiment, the electronic device (301) can also render and obtain an image with improved brightness or saturation of the first image by synthesizing the first image and the additional image or adding the additional image on the first image using the first image as a base image. Through this, the electronic device (301) according to one embodiment can provide the user with an effect similar to that of an image with improved brightness or saturation of the first image being an HDR (high dynamic range) image.

[0070] According to one embodiment, the electronic device (301) may include a camera (310) (e.g., the camera module (180) of FIG. 1), a processor (320) (e.g., the processor (120) of FIG. 1), a memory (330) (e.g., the memory (130) of FIG. 1), and a display (360) (e.g., the display module (160) of FIG. 1). According to one embodiment, the processor (220) may control the overall operation of the electronic device (201). For example, the processor (320) may be implemented in the same or similar manner as the processor (120) of FIG. 1. For example, the processor (320) may be implemented as an application processor (AP). For example, the processor (320) may also include an image signal processor (ISP) (340) (e.g., 340 of FIG. 3B, 260 of FIG. 2). According to one embodiment, the processor (320) can perform operations performed by the image signal processor (340).

[0071] According to one embodiment, the processor (320) may display a preview image of a first object captured by the camera (310) on the display (360) based on the first setting values ​​of the camera (310). For example, the first object may include a subject, a landscape, or an object.

[0072] According to one embodiment, the first setting values ​​may include at least one of a first exposure value, a first color space, or a white balance value of the camera (310). For example, the first exposure value may include an exposure value determined based on a first shutter speed value, a first sensitivity value, and a first aperture value. For example, the first color space may include DCI-P3, Adobe RGB, sRGB, Rec. 709, or Rec. 2020. However, this is an example, and the first setting values ​​may not be limited to the above examples.

[0073] In one embodiment, the processor (320) can analyze a preview image. In one embodiment, the processor (320) can analyze the preview image to determine second setting values ​​of the camera (310) that are at least partially different from the first setting values. In one embodiment, an operation of the processor (320) analyzing the preview image to determine second setting values ​​that change a first exposure value among the first setting values ​​is described.

[0074] According to one embodiment, the processor (320) may analyze the preview image to determine a first shutter speed value, a first sensitivity value, and a first aperture value based on a first exposure value of the preview image. According to one embodiment, the processor (320) may analyze the preview image to determine a histogram representing the brightness of the preview image. According to one embodiment, the histogram may include a graph representing the number of pixels corresponding to the brightness of the image.

[0075] According to one embodiment, the processor (320) may identify a first portion where clipping occurs in a histogram representing the brightness of the preview image. For example, the first portion may include a portion where white clipping occurs or a portion where black clipping occurs. According to one embodiment, the portion where white clipping occurs is a portion where an overexposure phenomenon of the camera (310) occurs, and may include a portion where information about a bright area in the image is lost. According to one embodiment, the portion where black clipping occurs is a portion where an underexposure phenomenon of the camera (310) occurs, and may include a portion where information about a dark area in the image is lost.

[0076] For example, if the number of pixels corresponding to the first brightness representing the first part of the histogram is greater than a specified first value, the processor (320) may determine that white clipping (e.g., 1012 in FIG. 10A and 1032 in FIG. 10C) has occurred in the first part. That is, if the processor (320) determines that the pixels corresponding to the first brightness in the histogram are cut off, the processor (320) may determine that the highlight part is saturated and white clipped. For example, if the processor (320) determines that white clipping (e.g., 1012 in FIG. 10A and 1032 in FIG. 10C) has occurred in the first part, the processor (320) may determine that the exposure value included in the second setting values ​​is smaller than the first exposure value. For example, the specified first value may be set by a user or may be automatically set by the processor (320).

[0077] For example, if the number of pixels corresponding to a second brightness that is lower than the first brightness representing the first part of the histogram is greater than a specified second value, the processor (320) may determine that black clipping (e.g., 1022 in FIG. 10b, 1042, 1052 in FIG. 10c) has occurred in the first part. That is, if the processor (320) determines that pixels corresponding to the second brightness are cut off in the histogram, the processor (320) may determine that the shadow part is saturated and black clipped. For example, if the processor (320) determines that black clipping (e.g., 1022 in FIG. 10b, 1042, 1052 in FIG. 10c) has occurred in the first part, the processor (320) may determine an exposure value included in the second set values ​​to be greater than the first exposure value. For example, the specified second value may be set by a user or may be automatically set by the processor (320). The specified first value and the specified second value may be the same or different.

[0078] According to one embodiment, the histogram may include a first histogram related to the R (red) channel of the preview image, a second histogram related to the G (green) channel, or a third histogram related to the B (blue) channel. According to one embodiment, the histogram may include a fourth histogram that is a combination of the first histogram, the second histogram, and the third histogram. According to one embodiment, the processor (320) may analyze the first histogram related to the R (red) channel, the second histogram related to the G (green) channel, or the third histogram related to the B (blue) channel to determine the exposure level with respect to brightness for each channel. According to one embodiment, the processor (320) may determine a second setting value (e.g., an exposure value) based on a result of analyzing the first histogram related to the R (red) channel, the second histogram related to the G (green) channel, or the third histogram related to the B (blue) channel.

[0079] In one embodiment, the processor (320) may determine a second exposure value different from the first exposure value so as to prevent clipping in the first portion based on the determination of the first portion. In one embodiment, the second exposure value may include an exposure value adjusted from the first exposure value by changing at least one of the first shutter speed value, the first sensitivity value, or the first aperture value.

[0080] According to one embodiment, an operation is described in which a processor (320) analyzes a preview image to determine second setting values ​​that change a first color space among first setting values.

[0081] According to one embodiment, the processor (320) can analyze the preview image to determine the first color space of the preview image. According to one embodiment, the color space may include a standard specification in which the colors of pixels of the image are expressed. For example, the color space may be determined based on coordinate values ​​in an xy coordinate plane.

[0082] According to one embodiment, the processor (320) can analyze the preview image to identify a second portion having a lower saturation than a specified value in the first color space. According to one embodiment, the processor (320) can identify the second portion based on the color saturation of the pixels of the preview image identified in the first color space. According to one embodiment, the processor (320) can identify the color saturation based on the positions (or coordinates) of the pixels identified in the first color space.

[0083] According to one embodiment, the processor (320) may determine that a second portion having a saturation lower than the specified value has been identified if the color saturation is greater than a specified third value. For example, the processor (320) may determine that a color included in the preview image exceeds the range of colors that can be expressed in the first color space if the color saturation is greater than the specified third value.

[0084] According to one embodiment, the processor (320) may determine a second color space different from the first color space based on identifying a second portion having a saturation lower than a specified value in the first color space. For example, the second color space may include DCI-P3, Adobe RGB, sRGB, Rec. 709, or Rec. 2020. However, this is an example, and the color space may include various color spaces. For example, the second color space may include a color space capable of expressing a wider range of colors than the first color space. According to one embodiment, the processor (320) may determine the number or type of at least one additional image to be captured based on the second setting values ​​through the camera (310). For example, the at least one additional image may represent an image for improving at least one of the brightness or saturation of the first image to be acquired based on the preview image based on the first setting values. The at least one additional image may include a recovery map or a y map. For example, the y map may include a gray scale image representing brightness information of at least one additional image that captured the first object, based on the second set of values.

[0085] According to one embodiment, the processor (320) may determine second setting values ​​based on the first setting values, and determine the number or type of at least one additional image based on the second setting values. According to one embodiment, the processor (320) may determine the number of times the second setting values ​​have changed based on the first setting values ​​as the number of at least one additional image. According to one embodiment, the type of at least one additional image may include an additional image for improving the brightness of a first image to be captured based on a preview image or an additional image for improving the saturation of the first image.

[0086] For example, if the processor (320) determines that only the first color space among the first setting values ​​is changed to the second color space, the number of at least one additional image may be determined to be 1. In this case, the at least one additional image may include an image captured based on the second color space.

[0087] For example, when the processor (320) determines second setting values ​​in which the first color space among the first setting values ​​is changed to the second color space and the first sensitivity value included in the first exposure value is changed to the second sensitivity value, the number of at least one additional image may be determined to be two. In this case, the at least one additional image may include an image based on the second color space and an image based on the second sensitivity value.

[0088] According to one embodiment, the processor (320) may determine the number of at least one additional image captured of the first object as one based on the second setting values, regardless of the number of times the second setting values ​​have changed based on the first setting values. For example, if the second setting values ​​are determined as a second exposure value and a second color space, the processor (320) may obtain one additional image based on the second exposure value and the second color space.

[0089] According to one embodiment, the processor (320) may acquire, through the camera (310), a first image captured of a first object based on first set values ​​and at least one additional image captured of the first object based on the second set values ​​and the number of objects. For example, the first image may include an image based on a preview image displayed on the display (360).

[0090] According to one embodiment, the processor (320) may check the user's setting value related to brightness or saturation according to the user's preference. According to one embodiment, the processor (320) may also acquire at least one additional image based on the user's setting value related to brightness or saturation. For example, the processor (320) may check an input regarding the user's preference. Based on the input, the processor (320) may check the setting value of the camera (310) including at least one of an exposure value, a color space, or a white balance value corresponding to the user's preference. Each of the setting values ​​of the camera (310) for each of the exposure value, the color space, and the white balance value corresponding to the user's preference may be stored in advance in the memory (330). For example, the processor (320) may store the setting values ​​of the camera (310) related to images acquired by the camera (310) as a usage history in the memory (330). The processor (3220) may also determine the setting values ​​of the camera (310) for acquiring an image based on the usage history stored in the memory (330). Through this, the processor (320) may determine the setting values ​​of the camera (310) and acquire an image even when there is no user input regarding the setting values ​​of the camera (310) of the electronic device (301).

[0091] According to one embodiment, the processor (320) can simultaneously acquire a first image and at least one additional image through the camera (310). According to one embodiment, the processor (320) can store an image file including the first image and at least one additional image in the memory (330). According to one embodiment, the processor (320) can store the at least one additional image as metadata of the first image.

[0092] According to one embodiment, the processor (320) may store information about first setting values ​​of the camera (310) for the first image and information about second setting values ​​of the camera (310) for at least one additional image as metadata of the first image.

[0093] Alternatively, according to one embodiment, the processor (320) may acquire at least one additional image based on a raw image acquired through the camera (310). According to one embodiment, the processor (320) may store the raw image acquired through the camera (310) in the memory (330). According to one embodiment, the raw image may represent data that has not been processed by an image sensor (e.g., the image sensor (230) of FIG. 2). According to one embodiment, the first setting values ​​of the camera (310) identified at the time the raw image is captured may be stored as metadata of the raw image. According to one embodiment, the processor (320) may develop and acquire the first image based on the first setting values ​​of the camera (310) identified at the time the raw image is captured by using (e.g., reading) the raw image stored in the memory (330). According to one embodiment, the processor (320) may develop and acquire at least one additional image based on the second setting values ​​using the raw image. According to one embodiment, the operation of the processor (320) developing the raw image may include an operation of adjusting the setting values ​​of the camera (310) confirmed at the time the raw image stored in the memory (330) was captured, and acquiring an image based on the adjusted setting values. According to one embodiment, after the processor (320) acquires the first image and the at least one additional image, the processor (320) may delete the raw image stored in the memory (330). According to one embodiment, the processor (320) may store the at least one additional image and / or the second setting values ​​as metadata of the first image. According to one embodiment, the processor (320) may store the first image and the at least one additional image as one image file. For example, one image file including the first image and the at least one additional image may include JPEG or JPG.The bit depth (e.g., 8 bits) of an image file including the first image and at least one additional image may be less than the bit depth of the image file of the raw image.

[0094] According to one embodiment, the processor (320) may analyze the preview image and determine that the brightness of a first region among a plurality of regions included in the preview image changes from a first brightness to a second brightness at a specified interval. According to one embodiment, the processor (320) may store information about the first region, information about the first brightness, information about the second brightness, information about the duration of the first brightness, and information about the duration of the second brightness as metadata of the first image.

[0095] According to one embodiment, the processor (320) may store information about an object included in the preview image as metadata of the first image. The processor (320) may analyze the scene of the preview image to obtain information about the object. The information about the object may include information about the subject (e.g., a person, an animal, an object). For example, the processor (320) may determine that the preview image is an image of a person, a landscape, or a food.

[0096] According to one embodiment, the processor (320) may obtain an image in which at least one additional image is overlaid on a first image. According to one embodiment, the image in which at least one additional image is overlaid on a first image may include an SDR (standard-dynamic-range) image. According to one embodiment, the processor (320) may obtain an image in which the brightness or saturation of the first image is improved by rendering the image by synthesizing the first image and the additional image or adding the additional image on the first image using the first image as a base image.

[0097] FIG. 3b is a diagram illustrating an image signal processor included in an electronic device according to one embodiment.

[0098] Referring to FIG. 3B, according to one embodiment, an electronic device (301) (e.g., the electronic device (301) of FIG. 3A) may include an image signal processor (ISP) (340). According to one embodiment, the image signal processor (340) may be included in a processor (320) (e.g., the processor (320) of FIG. 3A) or implemented as a separate component (e.g., included in a camera (310) (e.g., the camera (310) of FIG. 3A) or implemented as separate hardware). The processor (320) may control the image signal processor (340).

[0099] According to one embodiment, the processor (320) may acquire a preview image of a first object captured through the camera (310) based on the first set values. According to one embodiment, the processor (320) may transmit the preview image to the image signal processor (340).

[0100] According to one embodiment, the image signal processor (340) can analyze a preview image.

[0101] For example, the image signal processor (340) can determine whether there are parts that require supplementation because the brightness of the first image to be captured is darker or brighter than a reference value, based on the preview image. The image signal processor (340) can determine whether there are parts that require supplementation because the saturation of the first image to be captured is higher or lower than a reference value, based on the preview image.

[0102] For example, the image signal processor (340) may include an operation of checking information about the shooting mode of the camera (310) for the preview image. The information about the shooting mode may include information about a portrait shooting mode, a night shooting mode, a landscape shooting mode, a food shooting mode, or a pet shooting mode. The image signal processor (340) may check preset setting values ​​(e.g., second setting values) of the camera (310) corresponding to the shooting mode.

[0103] For example, the image signal processor (340) can check information about an object included in a preview image. The image signal processor (340) can check the preset setting values ​​(e.g., second setting values) of the camera (310) corresponding to the object. For example, the object may include food, a person, a building, a neon sign, a landscape, the sky, or a traffic light. However, this is only an example and may not be limited to the above examples.

[0104] According to one embodiment, the image signal processor (340) may determine second setting values ​​of the camera (310), at least some of which are different from the first setting values, based on the analysis results of the preview image. For example, the first setting values ​​may include a first exposure value and a first color space determined based on a first shutter speed value, a first sensitivity value, and a first aperture value. According to one embodiment, the image signal processor (340) may identify a first portion in which clipping occurs in a histogram representing the brightness of the preview image. According to one embodiment, the image signal processor (340) may determine a second exposure value, different from the first exposure value, so that clipping does not occur in the first portion, based on identifying the first portion. According to one embodiment, the second exposure value may include a value in which at least one of the first shutter speed value, the first sensitivity value, or the first aperture value is changed.

[0105] According to one embodiment, the image signal processor (340) can check the first color space of the preview image. According to one embodiment, the image signal processor (340) can analyze the preview image to check the second portion having a lower saturation than a specified value in the first color space. According to one embodiment, the image signal processor (340) can check the second portion based on the color saturation checked in the first color space. According to one embodiment, the image signal processor (340) can determine that the second portion having a saturation lower than the specified value is checked when the color saturation is greater than a specified first value. For example, the specified first value can represent a value checked as exceeding a range of colors that can be expressed in the first color space.

[0106] According to one embodiment, the image signal processor (340) may determine a second color space different from the first color space based on identifying a second portion having a lower saturation than a specified value in the first color space. For example, the second color space may include a color space capable of expressing a wider range of colors than the first color space.

[0107] According to one embodiment, the image signal processor (340) can determine the number of at least one additional image to be captured based on the second set values ​​via the camera (310).

[0108] According to one embodiment, the image signal processor (340) may provide information about second setting values ​​including information about a second exposure value and information about a second color space to the processor (320) as a result of analyzing the preview image. According to one embodiment, the image signal processor (340) may provide information about the number of at least one additional image to be captured based on the second setting values ​​to the processor (320) as a result of analyzing the preview image.

[0109] According to one embodiment, the processor (320) may acquire at least one additional image through the camera (310) based on the analysis results of the preview image received from the image signal processor (340).

[0110] According to one embodiment, the operations performed by the image signal processor (340) may be performed by the processor (320). According to one embodiment, the operations performed by the processor (320) may also be performed by the image signal processor (340).

[0111] FIG. 3c is a diagram illustrating an analysis module according to one embodiment.

[0112] Referring to FIG. 3c, according to one embodiment, the analysis module (370) may include an image analysis unit (351), an information determination unit (352), an additional image determination unit (353), and a user preference determination unit (354).

[0113] According to one embodiment, the analysis module (370) may be stored in the memory (330) (e.g., the memory (330) of FIG. 3A). According to one embodiment, the analysis module (370) may be implemented as a single configuration of an image analysis unit (351), an information determination unit (352), an additional image determination unit (353), and a user preference determination unit (354). According to one embodiment, the analysis module (370) may be implemented as software. Depending on the implementation, according to one embodiment, at least a portion of the analysis module (370) may be implemented as hardware. According to one embodiment, the processor (320) (e.g., the processor (320) of FIG. 3A) or the image signal processor (340) (e.g., the image signal processor (340) of FIG. 3A) may perform operations using the analysis module (370).

[0114] According to one embodiment, the image analysis unit (351) can analyze a preview image captured through a camera (310) (e.g., the camera (310) of FIG. 3A). According to one embodiment, the image analysis unit (351) can analyze a histogram representing the brightness of the preview image, or a color space of the preview image. For example, the image analysis unit (351) can check whether there is a part in which clipping has occurred in the histogram representing the brightness of the preview image. For example, the image analysis unit (351) can check whether there is a part in the color space of the preview image that has a saturation lower than a specified value.

[0115] According to one embodiment, the information determination unit (352) can determine the exposure value of the camera (310) and setting values ​​including the color space based on a histogram representing the brightness of the preview image or a color space of the preview image.

[0116] According to one embodiment, the additional image determination unit (353) may determine the type and number of additional images based on information (e.g., setting values) determined by the information determination unit (352). According to one embodiment, the types of additional images may include additional images for improving brightness and additional images for improving saturation.

[0117] For example, an additional image for improving brightness may include an image obtained by adjusting a first exposure value among the first set values ​​to a second exposure value different from the first exposure value. For example, an additional image for improving saturation may include an image obtained by adjusting a first color space among the first set values ​​to a second color space different from the first color space.

[0118] According to one embodiment, the user preference determination unit (354) can check the setting values ​​of the camera (310) corresponding to the user setting value related to at least one of saturation or brightness according to the user's preference. Each of the setting values ​​of the camera (310) for the exposure value, color space, and white balance value corresponding to the user's preference can be stored in advance in the memory (330).

[0119] The operations of the electronic device (301) described in the drawings below may be performed by the processor (320). However, for convenience of explanation, the operations performed by the processor (320) will be described as being performed by the electronic device (301).

[0120] FIG. 4 is a diagram for explaining an operation of an electronic device according to one embodiment of the present invention to obtain an additional image that improves at least one of brightness and saturation of a first image.

[0121] Referring to FIG. 4, according to one embodiment, an electronic device (301) (e.g., the electronic device (301) of FIG. 3A) may check a preview image of a first object captured by a camera (310) (e.g., the camera (310) of FIG. 3A) based on first setting values. For example, the first setting values ​​may include a first exposure value, a first color space, and a first white balance value determined based on a first sensitivity value, a first aperture value, and a first shutter speed value.

[0122] In one embodiment, the electronic device (301) may analyze the preview image (410) to determine second setting values ​​that differ at least in part from the first setting values. For example, the electronic device (301) may determine the second setting values ​​that include a second sensitivity value that differs from the first sensitivity value and a second color space that differs from the first color space.

[0123] According to one embodiment, the electronic device (301) can determine the number of at least one additional image to improve the brightness or saturation of the first image to capture the first object based on the first set values.

[0124] According to one embodiment, the electronic device (301) may determine the number of at least one additional image to be two.

[0125] According to one embodiment, the electronic device (301) can acquire a first image (410) captured based on the first set values.

[0126] According to one embodiment, the electronic device (301) can obtain an image (420) captured based on a setting value that changes a first sensitivity value to a second sensitivity value and an image (430) captured based on a setting value that changes a first color space to a second color space.

[0127] According to one embodiment, the electronic device (301) may obtain an image (440) in which the brightness and saturation of the first image (410) are improved by overlaying an image (420) captured based on a setting value that changes a first sensitivity value to a second sensitivity value and an image (430) captured based on a setting value that changes a first color space to a second color space on the first image (410). According to one embodiment, the electronic device (301) may synthesize the first image (410) and an additional image (an image (420) captured based on a setting value that changes a first sensitivity value to a second sensitivity value and an image (430) captured based on a setting value that changes a first color space to a second color space)) or may use the first image (410) as a base image and add an additional image on top of the first image (410) to render and obtain an image (440) in which the brightness and saturation of the first image (410) are improved. Through this, the electronic device (301) according to one embodiment can provide the user with an effect such that the image (440) with improved brightness and saturation of the first image (410) is an HDR (high dynamic range) image.

[0128] FIG. 5A is a flowchart illustrating an operation of an electronic device to acquire a first image and at least one additional image, according to one embodiment.

[0129] Referring to FIG. 5A, according to one embodiment, in operation 511, the electronic device (301) (e.g., the electronic device (301) of FIG. 3A) may display a preview image of a first object captured through the camera (310) (e.g., the camera (310) of FIG. 3A) on the display (360) (e.g., the display (360) of FIG. 3A) based on first setting values ​​of the camera (310). For example, the first object may include a subject, a landscape, or an object. According to one embodiment, the first setting values ​​may include at least one of a first exposure value, a first color space, or a first white balance value of the camera (310). For example, the first exposure value may be determined based on a first shutter speed value, a first sensitivity value, and a first aperture value. For example, the first color space may be DCI-P3, Adobe RGB, sRGB, Rec. 709, or Rec. 2020 may be included. However, this is an example, and the first set values ​​may not be limited to the above example.

[0130] According to one embodiment, in operation 513, the electronic device (301) can analyze the preview image. According to one embodiment, the electronic device (301) can analyze the preview image to confirm the first set values ​​of the preview image.

[0131] According to one embodiment, the electronic device (301) may analyze the preview image to determine a histogram representing the brightness of the preview image. According to one embodiment, the histogram may include a graph representing the number of pixels corresponding to the brightness of the image.

[0132] According to one embodiment, the electronic device (301) can analyze the preview image to determine the saturation based on the color space of the preview image.

[0133] According to one embodiment, in operation 515, the electronic device (301) may determine second setting values ​​of the camera (310) that are different from at least some of the first setting values ​​based on the results of analyzing the preview image.

[0134] According to one embodiment, the electronic device (301) can determine the second set values ​​based on the histogram. According to one embodiment, the operation of the electronic device (301) determining the second set values ​​based on the histogram is specifically described in FIG. 6.

[0135] According to one embodiment, the electronic device (301) can determine second setting values ​​based on a color space. According to one embodiment, an operation of the electronic device (301) determining second setting values ​​based on a color space is specifically described in FIG. 7.

[0136] According to one embodiment, in operation 517, the electronic device (301) may determine the number or type of at least one additional image to be captured of the first object. For example, the at least one additional image may represent an image for improving at least one of brightness or saturation of the first image to be acquired based on the preview image based on the first setting values. The at least one additional image may include a recovery map or a y map. For example, the y map may include a gray scale image representing brightness information of at least one additional image captured of the first object based on the second setting values.

[0137] According to one embodiment, the electronic device (301) can determine the number of at least one additional image based on the number by which the second setting values ​​have changed relative to the first setting values. According to one embodiment, the electronic device (301) can determine the number by which the second setting values ​​have changed relative to the first setting values ​​as the number of at least one additional image.

[0138] For example, if the electronic device (301) determines second setting values ​​in which only the first color space among the first setting values ​​is changed to the second color space, the electronic device may determine the number of at least one additional image to be 1. At this time, the at least one additional image may include an image captured based on the second color space. For example, if the electronic device (301) determines second setting values ​​in which the first color space among the first setting values ​​is changed to the second color space and the first sensitivity value included in the first exposure value is changed to the second sensitivity value, the electronic device may determine the number of at least one additional image to be 2. At this time, the at least one additional image may include an image based on the second color space and an image based on the second sensitivity value.

[0139] For example, the electronic device (301) may determine the number of at least one additional image to be captured of the first object as 1 based on the second setting values, regardless of the number of times the second setting values ​​have changed based on the first setting values. For example, if the second setting values ​​are determined as the second exposure value and the second color space, the electronic device (301) may obtain one additional image based on the second exposure value and the second color space.

[0140] According to one embodiment, in operation 519, the electronic device (301) may acquire a first image of the first object captured based on the first set values ​​and at least one additional image of the first object captured based on the second set values.

[0141] According to one embodiment, in operation 521, the electronic device (301) may store information about at least one additional image or second setting values ​​as metadata of the first image in the memory (330) (e.g., the memory (330) of FIG. 3A). According to one embodiment, the electronic device (301) may store an image file including the first image and at least one additional image in the memory (330). For example, the image file may include a JPEG. According to one embodiment, the electronic device (301) may store information about the first setting values ​​as metadata of the first image.

[0142] FIG. 5b is a flowchart illustrating an operation of an electronic device to acquire a first image and at least one additional image, according to one embodiment.

[0143] Referring to FIG. 5B, according to one embodiment, in operation 531, the electronic device (301) (e.g., the electronic device (301) of FIG. 3A) may display a preview image of a first object captured through the camera (310) (e.g., the camera (310) of FIG. 3A) on the display (360) (e.g., the display (360) of FIG. 3A) based on first setting values ​​of the camera (310). According to one embodiment, the first setting values ​​may include at least one of a first exposure value, a first color space, or a first white balance value of the camera (310).

[0144] According to one embodiment, in operation 533, the electronic device (301) can analyze the preview image. According to one embodiment, the electronic device (301) can analyze the preview image to confirm the first set values ​​of the preview image.

[0145] According to one embodiment, the electronic device (301) can analyze the preview image to determine a histogram representing the brightness of the preview image. According to one embodiment, the electronic device (301) can analyze the preview image to determine the saturation based on the color space of the preview image.

[0146] According to one embodiment, in operation 535, the electronic device (301) may determine second setting values ​​of the camera (310) that are different from at least some of the first setting values ​​based on the results of analyzing the preview image.

[0147] According to one embodiment, in operation 537, the electronic device (301) may determine the number or type of at least one additional image to be captured of the first object.

[0148] In one embodiment, at operation 539, the electronic device (301) may obtain a raw image of the first object. In one embodiment, the raw image may represent data that has not been processed by an image sensor (e.g., image sensor (230) of FIG. 2).

[0149] According to one embodiment, the first setting values ​​of the camera (310) that are identified at the time the raw image is captured may be stored in the memory (330) (e.g., the memory (330) of FIG. 3A) as metadata of the raw image.

[0150] According to one embodiment, in operation 541, the electronic device (301) may acquire a first image based on the first setting values ​​based on the raw image. According to one embodiment, the electronic device (301) may acquire the first image by developing it based on the first setting values ​​of the camera (310) confirmed at the time when the raw image is captured, using (e.g., reading) the raw image stored in the memory (330).

[0151] According to one embodiment, in operation 543, the electronic device (301) may acquire at least one additional image based on the second setting values ​​based on the raw image. According to one embodiment, the electronic device (301) may develop and acquire at least one additional image based on the second setting values ​​using the raw image. According to one embodiment, the operation of the electronic device (301) developing the raw image may include an operation of adjusting the first setting values ​​of the camera (310) identified when the raw image stored in the memory (330) is captured, and acquiring an image based on the adjusted setting values. According to one embodiment, after acquiring the first image and the at least one additional image, the processor (320) may delete the raw image stored in the memory (330).

[0152] According to one embodiment, in operation 545, the electronic device (301) may store information about at least one additional image or second setting values ​​as metadata of the first image in the memory (330). According to one embodiment, the electronic device (301) may store an image file including the first image and at least one additional image in the memory (330). For example, the image file may include JPEG. According to one embodiment, the electronic device (301) may store information about the first setting values ​​as metadata of the first image. For example, the image file may include JPEG or JPG. According to one embodiment, a bit depth of the image file including the first image and at least one additional image may be smaller than a bit depth of the image file of the original image.

[0153] FIG. 6 is a flowchart illustrating an operation of an electronic device according to one embodiment to acquire at least one additional image based on a second exposure value different from a first exposure value of a preview image.

[0154] Referring to FIG. 6, according to one embodiment, in operation 611, the electronic device (301) (e.g., the electronic device (301) of FIG. 3A) may analyze a preview image captured of a first object to determine a first exposure value of the preview image. For example, the first exposure value may include a first shutter speed value, a first sensitivity value, and a first aperture value.

[0155] According to one embodiment, in operation 613, the electronic device (301) may identify a first portion where clipping occurs in a histogram representing the brightness of the preview image. For example, the first portion may include a portion where white clipping occurs or a portion where black clipping occurs. According to one embodiment, the histogram may include a graph representing the number of pixels corresponding to the brightness of the image.

[0156] In one embodiment, the histogram may include a first histogram related to the R (red) channel of the preview image, a second histogram related to the G (green) channel, or a third histogram related to the B (blue) channel. In one embodiment, the histogram may include a fourth histogram that is a combination of the first histogram, the second histogram, and the third histogram.

[0157] According to one embodiment, in operation 615, the electronic device (301) may determine a second exposure value different from the first exposure value based on the identification of the first portion. According to one embodiment, the electronic device (301) may determine the second exposure value so that clipping does not occur in the first portion. According to one embodiment, the second exposure value may include a value in which at least one of the first shutter speed value, the first sensitivity value, or the first aperture value is changed.

[0158] For example, the electronic device (301) may determine that white clipping has occurred in the first portion if the number of pixels corresponding to a specified first brightness representing a first portion of the histogram is greater than a specified first value. For example, if the electronic device (301) determines that white clipping has occurred in the first portion, the electronic device (301) may determine the second exposure value to be less than the first exposure value.

[0159] For example, the electronic device (301) may determine that black clipping has occurred in the first portion if the number of pixels corresponding to a designated second brightness that is less than a designated first brightness representing a first portion of the histogram is greater than a designated first value. For example, if the electronic device (301) determines that black clipping has occurred in the first portion, the electronic device (301) may determine the second exposure value to be greater than the first exposure value.

[0160] According to one embodiment, in operation 617, the electronic device (301) may acquire at least one additional image for improving the brightness of the first image based on the second exposure value. According to one embodiment, the at least one additional image may include an image for improving the brightness of a first portion of a histogram representing the brightness of the first image. For example, the histogram representing the brightness of the first image may be identical to a histogram representing the brightness of the preview image. According to one embodiment, the at least one additional image may include an image for preventing clipping from occurring in the first portion of the histogram representing the brightness of the first image.

[0161] For example, at least one additional image for improving the brightness of the first image may include one or more images. For example, the electronic device (301) may obtain at least one additional image from among an image in which only the first sensitivity value among the first set values ​​is changed, an image in which only the first aperture value among the first set values ​​is changed, or an image in which only the first shutter speed value among the first set values ​​is changed. For example, the electronic device (301) may also obtain one image in which at least one of the first sensitivity value, the first aperture value, or the first shutter speed value among the first set values ​​is changed. This is an example, and the number of at least one additional image may be determined in various ways.

[0162] According to one embodiment, in operation 619, the electronic device (301) may store an image file including a first image and at least one additional image in a memory (330) (e.g., the memory (330) of FIG. 3A). According to one embodiment, the at least one additional image may be stored as metadata of the first image. At this time, according to one embodiment, the electronic device (301) may store information about a first exposure value of the first image and information about a second exposure value of the at least one additional image as metadata of the first image.

[0163] FIG. 7 is a flowchart illustrating an operation of an electronic device according to one embodiment of the present invention to obtain at least one additional image based on a second color space different from a first color space of a preview image.

[0164] Referring to FIG. 7, according to one embodiment, in operation 711, the electronic device (301) (e.g., the electronic device (301) of FIG. 3A) may analyze a preview image in which a first object is captured to determine a first color space of the preview image. For example, the first color space may include DCI-P3, Adobe RGB, sRGB, Rec. 709, Rec. 2020, or CG318-4K.

[0165] According to one embodiment, in operation 713, the electronic device (301) may identify a second portion having a saturation lower than a specified value in the first color space. According to one embodiment, the electronic device (301) may identify the second portion based on the color saturation identified in the first color space. According to one embodiment, the electronic device (301) may determine that the second portion having a saturation lower than the specified value is identified when the color saturation is greater than a specified third value. For example, the specified third value may represent a value identified as exceeding a range of colors that can be expressed in the first color space.

[0166] According to one embodiment, in operation 715, the electronic device (301) may determine a second color space different from the first color space based on identifying a second portion having a lower saturation than a specified value in the first color space. For example, the second color space may include DCI-P3, Adobe RGB, sRGB, Rec. 709, Rec. 2020, or CG318-4K. For example, the second color space may include a color space capable of expressing a wider range of colors than the first color space.

[0167] According to one embodiment, in operation 717, the electronic device (301) may obtain at least one additional image for improving the saturation of the first image based on the second color space.

[0168] According to one embodiment, in operation 719, the electronic device (301) may store an image file including a first image and at least one additional image in a memory (330) (e.g., the memory (330) of FIG. 3A). According to one embodiment, the at least one additional image may be stored as metadata of the first image. At this time, according to one embodiment, the electronic device (301) may store information about the first color space and information about the second color space as metadata of the first image.

[0169] For convenience of explanation, FIG. 7 and FIG. 8 are illustrated and described separately, but the operations described in FIG. 7 and the operations described in FIG. 8 may be performed independently or simultaneously.

[0170] FIG. 8 is a flowchart illustrating an operation of an electronic device according to one embodiment of the present invention to acquire at least one additional image based on a user-set value related to at least one of saturation or brightness according to a user's preference.

[0171] Referring to FIG. 8, according to one embodiment, in operation 811, the electronic device (301) (e.g., the electronic device (301) of FIG. 3A) may check a user setting value related to at least one of saturation or brightness according to a user's preference. According to one embodiment, the electronic device (301) may check a user input regarding the user's preference. Based on the user input, the electronic device (301) may check a setting value of the camera (310) including at least one of an exposure value, a color space, or a white balance value corresponding to the user's preference. Each of the setting values ​​of the camera (310) for each of the exposure value, the color space, and the white balance value corresponding to the user's preference may be stored in advance in the memory (330).

[0172] According to one embodiment, in operation 813, the electronic device (301) may acquire at least one additional image based on user-set values. According to one embodiment, the electronic device (301) may acquire at least one additional image based on set values ​​of the camera (310) for each of an exposure value, a color space, and a white balance value corresponding to the user's preference.

[0173] According to one embodiment, in operation 815, the electronic device (301) may store an image file including a first image and at least one additional image in a memory (330) (e.g., the memory (330) of FIG. 3A). According to one embodiment, the electronic device (301) may store the at least one additional image as meta information of the first image.

[0174] FIG. 9 is a flowchart illustrating an operation of an electronic device according to one embodiment of the present invention to store information about at least one area included in a preview image as meta information of a first image.

[0175] Referring to FIG. 9, according to one embodiment, in operation 911, the electronic device (301) (e.g., the electronic device (301) of FIG. 3A) analyzes a preview image in which a first object is captured, and determines that a first brightness for a first region among a plurality of regions included in the preview image changes from the first brightness to the second brightness at a specified interval.

[0176] According to one embodiment, in operation 913, the electronic device (301) may obtain information about a first area, information about a first brightness, information about a duration of the first brightness, information about a second brightness, and information about a duration of the second brightness.

[0177] According to one embodiment, in operation 915, the electronic device (301) may store information about the first area, information about the first brightness, information about the duration of the first brightness, information about the second brightness, and information about the duration of the second brightness as metadata of the first image in a memory (330) (e.g., the memory (330) of FIG. 3A).

[0178] FIG. 10A is a diagram for explaining an operation of an electronic device according to one embodiment of the present invention to acquire at least one additional image for improving brightness when a portion in which clipping has occurred is identified in a histogram representing brightness of a first image.

[0179] Referring to (a) of FIG. 10A, according to one embodiment, an electronic device (301) (e.g., the electronic device (301) of FIG. 3A) may acquire a preview image of a first object based on first setting values ​​of the camera (310) (e.g., the camera (310) of FIG. 3A) through a camera (310). For example, the first setting values ​​may include a first exposure value. For example, the first exposure value may be determined based on a first shutter speed value, a first sensitivity value, and a first aperture value. For example, the first object may include a subject, a building, or a landscape.

[0180] According to one embodiment, the electronic device (301) may analyze the preview image to obtain a histogram (1011, 1012) representing the brightness of the preview image. For example, the histogram (1011, 1012) may include a graph representing the number of pixels corresponding to the brightness of the preview image.

[0181] According to one embodiment, the electronic device (301) can determine that white clipping has occurred in the first portion (1012) when the number of pixels corresponding to the brightness representing the first portion (1012) of the histogram (1011, 1012) is greater than a specified first value. According to one embodiment, the electronic device (301) can determine that the first portion (1012) of the histogram (1011, 1012) representing the brightness of the preview image has been clipped (e.g., white clipped).

[0182] According to one embodiment, the electronic device (301) may determine setting values ​​of the camera (310) to capture at least one additional image for improving brightness of the first portion (1012). For example, if white clipping is determined to have occurred in the first portion, the electronic device (301) may determine an exposure value darker than the first exposure value. For example, the electronic device (301) may determine an exposure value darker than the first exposure value by changing at least some of the first shutter speed value, the first sensitivity value, or the first aperture value.

[0183] Referring to (b) of FIG. 10a, according to one embodiment, the electronic device (301) can obtain at least one additional image of a first object captured through the camera (310) based on second setting values ​​of the camera (310) and a first image based on first setting values.

[0184] According to one embodiment, the electronic device (301) may store the first image and at least one additional image as a single image file. According to one embodiment, the at least one additional image may be stored as metadata of the first image.

[0185] According to one embodiment, the electronic device (301) may overlay at least one additional image on the first image. According to one embodiment, the electronic device (301) may synthesize the first image and at least one additional image, or may use the first image as a base image and add at least one additional image on the first image to render and obtain an image that improves the brightness or saturation of the first image.

[0186] Through this, the histogram (1013) representing the brightness of an image in which at least one additional image is overlaid on the first image can be made free of clipping (e.g., white clipping).

[0187] FIG. 10b is a diagram for explaining an operation of an electronic device according to one embodiment of the present invention to acquire at least one additional image for improving brightness when a portion in which clipping has occurred is identified in a histogram representing brightness of a first image.

[0188] Referring to (a) of FIG. 10B, according to one embodiment, an electronic device (301) (e.g., the electronic device (301) of FIG. 3A) may acquire a preview image of a first object based on first setting values ​​of the camera (310) (e.g., the camera (310) of FIG. 3A) through a camera (310). For example, the first setting values ​​may be determined based on a first shutter speed value, a first sensitivity value, and a first aperture value. For example, the first object may include a subject, a building, or a landscape.

[0189] According to one embodiment, the electronic device (301) may analyze the preview image to obtain a histogram (1021, 1022) representing the brightness of the preview image. For example, the histogram (1021, 1022) may include a graph representing the number of pixels corresponding to the brightness of the preview image.

[0190] According to one embodiment, the electronic device (301) may determine that the second portion (1022) of the histogram (1021, 1022) representing the brightness of the preview image is clipped (e.g., black clipped). For example, the electronic device (301) may determine that black clipping has occurred in the second portion (1022) when the number of pixels corresponding to the brightness representing the second portion (1022) of the histogram is greater than a specified second value. For example, when the electronic device (301) determines that black clipping has occurred in the second portion (1022), it may determine an exposure value that is brighter than the first exposure value.

[0191] In one embodiment, the electronic device (301) may determine settings of the camera (310) to capture at least one additional image to improve brightness for the second portion (1022). For example, the electronic device (301) may determine an exposure value brighter than the first exposure value by changing at least some of the first shutter speed value, the first sensitivity value, or the first aperture value.

[0192] Referring to (b) of FIG. 10b, according to one embodiment, the electronic device (301) can acquire at least one additional image and a first image by capturing a first object based on an exposure value brighter than a first exposure value of the camera (310) through the camera (310).

[0193] According to one embodiment, the electronic device (301) may store the first image and at least one additional image as a single image file. According to one embodiment, the at least one additional image may be stored as metadata of the first image.

[0194] According to one embodiment, the electronic device (301) may overlay at least one additional image on the first image. According to one embodiment, the electronic device (301) may synthesize the first image and at least one additional image, or may use the first image as a base image and add at least one additional image on the first image to render and obtain an image that improves the brightness or saturation of the first image.

[0195] Through this, the histogram (1023) representing the brightness of an image in which at least one additional image is overlaid on the first image can be made free of clipping (e.g., black clipping).

[0196] FIG. 10c is a diagram for explaining an operation of an electronic device according to one embodiment of the present invention to acquire at least one additional image for improving brightness when a portion in which clipping has occurred is identified in a histogram of each of a plurality of channels representing brightness of a first image.

[0197] Referring to (a), (b), and (c) of FIG. 10c, according to one embodiment, an electronic device (301) (e.g., the electronic device (301) of FIG. 3a) may acquire a preview image of a first object based on first setting values ​​of the camera (310) (e.g., the camera (310) of FIG. 3a) through a camera (310). For example, the first setting values ​​may be determined based on a first shutter speed value, a first sensitivity value, and a first aperture value. For example, the first object may include a subject, a building, or a landscape.

[0198] According to one embodiment, the electronic device (301) may analyze the preview image to obtain histograms (1031, 1041, 1051) representing the brightness of the preview image. For example, the histograms (1031, 1041, 1051) may include graphs representing the number of pixels corresponding to the brightness of the preview image. For example, the histograms may include histograms related to multiple channels of the camera (310), such as an R (red) channel, a G (green) channel, and a B (blue) channel.

[0199] According to one embodiment, the electronic device (301) can determine that white clipping has occurred in a portion (1032) of a histogram (1031, 1032) of an R channel representing the brightness of the preview image.

[0200] According to one embodiment, the electronic device (301) may determine settings of the camera (310) to capture at least one additional image to improve brightness for a portion (1032). For example, if white clipping is determined to have occurred in a portion (1032) of the histogram (1031, 1032) of the R channel, the electronic device (301) may determine an exposure value darker than the first exposure value.

[0201] Referring to (b) of FIG. 10c, according to one embodiment, the electronic device (301) may determine that a portion (1042) of the histogram (1041, 1042) of the G channel representing the brightness of the preview image is clipped (e.g., black clipped). For example, if the electronic device (301) determines that black clipping has occurred in a portion (1042) of the histogram (1041, 1042) of the G channel, the electronic device (301) may determine an exposure value brighter than the first exposure value.

[0202] Referring to (c) of FIG. 10c, according to one embodiment, the electronic device (301) may determine that a portion (1052) of the histogram (1051, 1052) of the B channel representing the brightness of the preview image is clipped (e.g., black clipped). For example, if the electronic device (301) determines that black clipping has occurred in a portion (1052) of the histogram (1051, 1052) of the B channel, the electronic device (301) may determine an exposure value brighter than the first exposure value.

[0203] According to one embodiment, the electronic device (301) can acquire an additional image based on the determined exposure value.

[0204] FIG. 11 is a diagram for explaining an operation of an electronic device according to one embodiment of the present invention to obtain at least one additional image for improving saturation based on a second color space different from a first color space of a preview image.

[0205] The number and location of the color spaces (1110, 1120, 1130) illustrated in Fig. 11 may not be limited thereto.

[0206] Referring to FIG. 11, an electronic device (301) (e.g., the electronic device (301) of FIG. 3A) can analyze a preview image and confirm the color space of the preview image as a first color space (1130).

[0207] According to one embodiment, the color space (1110, 1120, 1130) may include a standard specification in which colors of pixels of an image are expressed in the visible light range (1100). For example, the color space may include DCI-P3, Adobe RGB, sRGB, Rec. 709, or Rec. 2020. However, this is an example, and the color space may include various color spaces. For example, the color space may be determined based on coordinate values ​​in an xy coordinate plane. The x coordinate may include a coordinate based on the horizontal axis, and the y coordinate may include a coordinate based on the vertical axis.

[0208] According to one embodiment, the electronic device (301) can identify a portion having a saturation lower than a specified value within the first color space (1130). For example, the electronic device (301) can identify a portion having a saturation lower than a specified value within the first color space (1130) based on the saturation of pixels of the preview image identified within the first color space (1130). The electronic device (301) can identify the location (coordinates) (1140) of the pixels identified within the first color space (1130).

[0209] According to one embodiment, the electronic device (301) may change the color range from the first color space (1130) to one of the color spaces (1110, 1120) having a wider color range than the first color space (1130), if a portion having a lower saturation than a specified value within the first color space (1130) is identified based on the locations (coordinates) (1140) of pixels identified within the first color space (1130).

[0210] According to one embodiment, the electronic device (301) can obtain at least one additional image based on any one of the color spaces (1110, 1120) having a wider color range than the first color space (1130).

[0211] FIG. 12 is a diagram for explaining an operation of an electronic device according to one embodiment to check information about at least one area among a plurality of areas included in a preview image.

[0212] Referring to (a) of FIG. 12, according to one embodiment, an electronic device (301) (e.g., the electronic device (301) of FIG. 3A) can analyze a preview image. According to one embodiment, the electronic device (301) can obtain information about at least one area included in the preview image (1201).

[0213] According to one embodiment, the electronic device (301) can determine that a first region (1210) among the plurality of regions included in the preview image (1201) has a first brightness at a first point in time. According to one embodiment, the electronic device (301) can determine that a second region (1220) among the plurality of regions has a second brightness at a first point in time.

[0214] Referring to (b) of FIG. 12, according to one embodiment, the electronic device (301) can confirm that a first region (1210) among a plurality of regions included in a preview image (1201) changes from a first brightness to a second brightness at a second time point after a first time point.

[0215] According to one embodiment, the electronic device (301) can determine that a second region (1220) among a plurality of regions included in the preview image (1201) changes from a second brightness to a first brightness at a second time point.

[0216] According to one embodiment, the electronic device (301) may obtain information about a first area (1210), information about a first brightness for the first area (1210), information about a duration of the first brightness for the first area (1210), information about a second brightness for the first area (1210), and information about a duration of the second brightness for the first area (1210), and store the information as metadata of the first image.

[0217] According to one embodiment, the electronic device (301) may obtain information about a second area (1220), information about a first brightness for the second area (1220), information about a duration of the first brightness for the second area (1220), information about a second brightness for the second area (1220), and information about a duration of the second brightness for the second area (1220), and store the information as metadata of the first image.

[0218] According to one embodiment, an electronic device may include a display, a camera, and a processor.

[0219] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to display a preview image of a first object captured through the camera based on first setting values ​​of the camera on the display.

[0220] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to analyze the preview image to determine second setting values ​​of the camera that are different from at least some of the first setting values.

[0221] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine a type or number of at least one additional image to be captured of the first object based on the second setting values.

[0222] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to obtain, through the camera, an image of the first object captured based on the first set values ​​and at least one additional image of the first object captured based on the second set values ​​and the type or number.

[0223] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to store the at least one additional image as metadata of the image in the memory.

[0224] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to identify a first portion in which clipping occurs in a histogram representing brightness of the preview image.

[0225] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to obtain the at least one additional image for improving the brightness of the image based on identifying the first portion.

[0226] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine a first exposure value of the preview image based on the histogram, wherein the first exposure value may be determined based on a first shutter speed value, a first sensitivity value, and a first aperture value.

[0227] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine a second exposure value different from the first exposure value by changing at least one of the first shutter speed value, the first sensitivity value, or the first aperture value.

[0228] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to acquire the at least one additional image based on the second exposure value.

[0229] According to one embodiment, the histogram may include at least one of a first histogram related to an R (red) channel of the preview image, a second histogram related to a G (green) channel, a third histogram related to a B (blue) channel, or a fourth histogram that combines the first histogram, the second histogram, and the third histogram.

[0230] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to obtain the at least one additional image for improving saturation of the image based on the first color space of the preview image.

[0231] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to identify a second portion having a saturation lower than a specified value in the first color space.

[0232] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to change from the first color space to a second color space different from the first color space to improve saturation of the second portion.

[0233] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to obtain the at least one additional image based on the second color space.

[0234] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to determine a user-set value associated with at least one of saturation or brightness according to a user preference.

[0235] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to acquire the at least one additional image, further taking into account the user-defined value.

[0236] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to store an image file including the image and the at least one additional image in the memory.

[0237] According to one embodiment, the memory may store instructions that, when executed by the processor, cause the electronic device to store information about the first region, the duration of the first brightness, and the duration of the second brightness as the metadata of the image when it is determined that the brightness of a first region among a plurality of regions included in the preview image changes from a first brightness to a second brightness at a specified period.

[0238] According to one embodiment, a method of operating an electronic device may include an operation of displaying a preview image of a first object captured by a camera included in the electronic device based on first setting values ​​of the camera on a display included in the electronic device.

[0239] According to one embodiment, a method of operating an electronic device may include analyzing the preview image to determine second setting values ​​of the camera, wherein at least some of the first setting values ​​are different.

[0240] According to one embodiment, the method of operating the electronic device may include an operation of determining the number or type of at least one additional image to be captured of the first object based on the second setting values.

[0241] According to one embodiment, the operating method of the electronic device may include an operation of acquiring, through the camera, an image of the first object captured based on the first set values ​​and at least one additional image of the first object captured based on the second set values ​​and the type or the number.

[0242] According to one embodiment, the method of operating the electronic device may include storing information about the at least one additional image or the second setting values ​​as metadata of the image in the memory.

[0243] According to one embodiment, a method of operating an electronic device may include an operation of identifying a first portion in which clipping occurs in a histogram representing brightness of the preview image.

[0244] According to one embodiment, the method of operating the electronic device may include an operation of acquiring at least one additional image for improving the brightness of the image based on identifying the first portion.

[0245] According to one embodiment, the operating method of the electronic device includes an operation of confirming a first exposure value of the preview image based on the histogram, wherein the first exposure value can be confirmed based on a first shutter speed value, a first sensitivity value, and a first aperture value.

[0246] According to one embodiment, a method of operating an electronic device may include determining a second exposure value different from the first exposure value by changing at least one of the first shutter speed value, the first sensitivity value, or the first aperture value.

[0247] According to one embodiment, the method of operating the electronic device may include an operation of acquiring the at least one additional image based on the second exposure value.

[0248] According to one embodiment, a method of operating an electronic device may include obtaining at least one additional image for improving saturation of the image based on a first color space of the preview image.

[0249] According to one embodiment, a method of operating an electronic device may include an operation of identifying a second portion having a saturation lower than a specified value in the first color space.

[0250] According to one embodiment, a method of operating an electronic device may include changing from the first color space to a second color space different from the first color space to improve saturation of the second portion.

[0251] According to one embodiment, a method of operating an electronic device may include an operation of obtaining at least one additional image based on the second color space.

[0252] According to one embodiment, a method of operating an electronic device may include an operation of determining a user-set value associated with at least one of saturation or brightness according to a user preference.

[0253] According to one embodiment, a method of operating an electronic device may include an operation of obtaining the at least one additional image, further taking into account the user-set value.

[0254] According to one embodiment, the operating method of the electronic device may include an operation of acquiring a raw image captured based on the first setting values ​​through the camera, an operation of acquiring the image using the raw image, and an operation of acquiring the at least one additional image using the raw image. According to one embodiment, the operating method of the electronic device may include an operation of storing information about the first region, the duration of the first brightness, and the duration of the second brightness as the metadata of the image when it is confirmed that the brightness of a first region among a plurality of regions included in the preview image changes from a first brightness to a second brightness at a specified period.

[0255] According to one embodiment, a method of operating an electronic device may include storing an image file including the image and the at least one additional image in the memory.

[0256] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include an operation of displaying a preview image of a first object captured by a camera included in the electronic device based on first setting values ​​of the camera on a display included in the electronic device.

[0257] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, the at least one operation including analyzing the preview image to determine second setting values ​​of the camera, at least some of which are different from the first setting values.

[0258] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, the at least one operation including an operation of determining the number of at least one additional image to be captured of the first object based on the second set values.

[0259] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include an operation of acquiring, through the camera, an image of the first object captured based on the first set values ​​and at least one additional image of the first object captured based on the second set values ​​and the type or the number.

[0260] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include storing the at least one additional image as metadata of the image in a memory included in the electronic device.

[0261] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, the at least one operation including an operation of identifying a first portion in which clipping occurs in a histogram representing brightness of the preview image.

[0262] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation comprises: obtaining at least one additional image for improving the brightness of the image based on identifying the first portion.

[0263] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include an operation of identifying a first exposure value of the preview image based on the histogram, wherein the first exposure value may be identified based on a first shutter speed value, a first sensitivity value, and a first aperture value.

[0264] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include determining a second exposure value different from the first exposure value by changing at least one of the first shutter speed value, the first sensitivity value, or the first aperture value.

[0265] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include an operation of acquiring the at least one additional image based on the second exposure value.

[0266] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include obtaining at least one additional image for improving saturation of the first image based on a first color space of the preview image.

[0267] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include an operation of identifying a second portion having a saturation lower than a specified value in the first color space.

[0268] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include changing from the first color space to a second color space different from the first color space to improve saturation of the second portion.

[0269] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include an operation of obtaining the at least one additional image based on the second color space.

[0270] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, the at least one operation including: an operation of acquiring a raw image captured through the camera based on the first set values; an operation of acquiring the image using the raw image; and an operation of acquiring the at least one additional image using the raw image.

[0271] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include an operation of checking a user-set value related to at least one of saturation or brightness according to a user's preference.

[0272] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include an operation of obtaining the at least one additional image, further taking into account the user-set value.

[0273] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include storing an image file including the first image and the at least one additional image in the memory.

[0274] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by a processor of an electronic device, cause the electronic device to perform at least one operation, wherein the at least one operation may include an operation of storing information about the first area, the duration of the first brightness, and the duration of the second brightness as the metadata of the image when it is determined that the brightness of a first area among a plurality of areas included in the preview image changes from a first brightness to a second brightness at a specified period.

[0275] Electronic devices according to the various embodiments disclosed in this document may take various forms. Electronic devices may include, for example, portable communication devices (e.g., smartphones), computer devices, portable multimedia devices, portable medical devices, cameras, wearable devices, or home appliances. Electronic devices according to the embodiments disclosed in this document are not limited to the aforementioned devices.

[0276] The various embodiments of this document and the terminology used therein are not intended to limit the technical features described in this document to specific embodiments, but should be understood to include various modifications, equivalents, or substitutes of the embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly indicates otherwise. In this document, each of the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can include any one of the items listed together in the corresponding phrase among those phrases, or all possible combinations thereof. Terms such as "first," "second," or "first" or "second" may be used merely to distinguish one component from another, and do not limit the components in any other respect (e.g., importance or order). When a component (e.g., a first component) is referred to as "coupled" or "connected" to another component (e.g., a second component), with or without the terms "functionally" or "communicatively," it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or through a third component.

[0277] The term "module" used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. A module may be an integral component, or a minimum unit or part of such a component that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0278] Various embodiments of the present document may be implemented as software (e.g., program (140)) including one or more commands stored in a storage medium (e.g., built-in memory (136) or external memory (138)) readable by a machine (e.g., electronic device (101, 301)). For example, a processor (e.g., processor (120, 320)) of a machine (e.g., electronic device (101, 301)) may call at least one command among the one or more commands stored from the storage medium and execute it. This enables the machine to operate to perform at least one function according to the called at least one command. The one or more commands may include code generated by a compiler or code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' means a device in which the storage medium is tangible, It simply means that it does not contain signals (e.g. electromagnetic waves), and the term does not distinguish between cases where data is stored semi-permanently or temporarily on a storage medium.

[0279] According to one embodiment, the method according to various embodiments disclosed in the present document may be provided as included in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory (CD-ROM)), or may be distributed online (e.g., downloaded or uploaded) through an application store (e.g., Play Store™) or directly between two user devices (e.g., smart phones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0280] According to various embodiments, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to various embodiments, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to various embodiments, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

Claims

1. In an electronic device (301), Display (360); Memory (330) for storing instructions; camera (310); and Contains a processor (320), The above instructions, when executed by the processor, cause the electronic device to: A preview image of a first object captured by the camera based on the first setting values ​​of the camera is displayed on the display, By analyzing the above preview image, second setting values ​​of the camera are determined, wherein at least some of the first setting values ​​are different, Based on the above second setting values, determine the type and number of at least one additional image to be captured of the first object, Through the camera, an image of the first object is captured based on the first set values, and at least one additional image of the first object is captured based on the second set values ​​and the type or number, An electronic device causing information about at least one of the additional images or the second set values ​​to be stored in the memory as metadata of the image.

2. In paragraph 1, The above instructions, when executed by the processor, cause the electronic device to: Identify the first part where clipping occurs in the histogram representing the brightness of the above preview image, An electronic device that causes the acquisition of at least one additional image for improving the brightness of the image based on the determination of the first portion.

3. In any one of paragraphs 1 and 2, The above instructions, when executed by the processor, cause the electronic device to: Based on the histogram, a first exposure value of the preview image is identified, wherein the first exposure value is identified based on a first shutter speed value, a first sensitivity value, and a first aperture value. determining a second exposure value different from the first exposure value by changing at least one of the first shutter speed value, the first sensitivity value, or the first aperture value; An electronic device causing the acquisition of at least one additional image based on the second exposure value.

4. In any one of paragraphs 1 to 3, The above histogram is, An electronic device comprising at least one of a first histogram related to an R (red) channel of the preview image, a second histogram related to a G (green) channel, a third histogram related to a B (blue) channel, or a fourth histogram obtained by combining the first histogram, the second histogram, and the third histogram.

5. In any one of paragraphs 1 to 4, The above instructions, when executed by the processor, cause the electronic device to: An electronic device that causes at least one additional image to be acquired based on the first color space of the preview image to improve the saturation of the image.

6. In any one of paragraphs 1 to 5, The above instructions, when executed by the processor, cause the electronic device to: Identify the second portion having a saturation lower than the specified value in the first color space, To improve the saturation of the second part, change the first color space to a second color space different from the first color space, An electronic device causing at least one additional image to be acquired based on the second color space.

7. In any one of paragraphs 1 to 6, The above instructions, when executed by the processor, cause the electronic device to: Through the above camera, a raw image is acquired based on the above first setting values, Using the above raw image, the image is obtained, An electronic device causing said raw image to be used to obtain said at least one additional image.

8. In any one of paragraphs 1 to 7, The above instructions, when executed by the processor, cause the electronic device to: Check the user-defined values ​​related to at least one of saturation or brightness, according to the user's preference. An electronic device that causes the acquisition of at least one additional image, taking further consideration of the user-defined values.

9. In any one of paragraphs 1 to 8, The above instructions, when executed by the processor, cause the electronic device to: An electronic device causing an image file comprising said image or at least one additional image to be stored in said memory.

10. In any one of paragraphs 1 to 9, The above instructions, when executed by the processor, cause the electronic device to: An electronic device that causes information about the first region, the duration of the first brightness, and the duration of the second brightness to be stored as the metadata of the image when it is confirmed that the brightness of a first region among a plurality of regions included in the preview image changes from the first brightness to the second brightness at specified intervals.

11. In the operating method of an electronic device (301), An action of displaying a preview image of a first object captured by a camera (310) included in the electronic device based on first setting values ​​of the camera on a display (360) included in the electronic device; An operation of analyzing the above preview image to determine second setting values ​​of the camera, wherein at least some of the first setting values ​​are different; An operation of determining the type or number of at least one additional image to be captured of the first object based on the second setting values; An operation of obtaining an image of the first object based on the first set values ​​and at least one additional image of the first object based on the second set values ​​and the type or number through the camera; and A method of operating an electronic device, comprising an action of storing information about at least one additional image or second setting values ​​as metadata of the first image in a memory (330) included in the electronic device.

12. In paragraph 11, An operation of identifying a first portion where clipping occurs in a histogram representing the brightness of the above preview image; and A method of operating an electronic device, further comprising: acquiring at least one additional image for improving the brightness of the image based on verifying the first portion.

13. In any one of paragraphs 11 to 12, An operation of confirming a first exposure value of the preview image based on the histogram; wherein the first exposure value is confirmed based on a first shutter speed value, a first sensitivity value, and a first aperture value; An operation of determining a second exposure value different from the first exposure value by changing at least one of the first shutter speed value, the first sensitivity value, or the first aperture value; and A method of operating an electronic device, further comprising: acquiring at least one additional image based on the second exposure value.

14. In any one of paragraphs 11 to 13, The above histogram is, A method of operating an electronic device, comprising at least one of a first histogram related to an R (red) channel of the preview image, a second histogram related to a G (green) channel, a third histogram related to a B (blue) channel, or a fourth histogram obtained by combining the first histogram, the second histogram, and the third histogram.

15. In a storage medium storing computer-readable instructions, the instructions, when executed by a processor (320) of an electronic device (301), cause the electronic device to perform at least one operation, the at least one operation being: An action of displaying a preview image of a first object captured by a camera (310) included in the electronic device based on first setting values ​​of the camera on a display (360) included in the electronic device; An operation of analyzing the above preview image to determine second setting values ​​of the camera, wherein at least some of the first setting values ​​are different; An operation of determining the type or number of at least one additional image to be captured of the first object based on the second setting values; An operation of acquiring a first image captured of the first object based on the first set values ​​and at least one additional image captured of the first object based on the second set values ​​and the number through the camera; and A storage medium including an operation of storing information about at least one additional image or the second setting values ​​as metadata of the first image in a memory (330) included in the electronic device.

Images