Image processing device and image processing method

Abstract

The electronic device according to the present disclosure may comprise: at least one camera; at least one processor including processing circuitry; and a memory storing instructions. The instructions may be individually or collectively executed by the at least one processor to cause the electronic device to: identify a first object in a first image; store, in association with information about the first object, a setting value related to an operation for acquiring the first image; acquire a second image through the camera; identify an object corresponding to the first object in the second image; and on the basis of the object being identified in the second image, acquire a third image through the camera by using the setting value.

Description

Image processing device and image processing method

[0001] The present disclosure relates to an image processing device and an image processing method.

[0002] Camera modules capable of capturing and processing images can be incorporated into electronic devices. For example, a mobile device may include one or more camera modules. Advances in camera technology and artificial intelligence (AI) are leading to the development of various technologies. To enhance user satisfaction with cameras, control methods tailored to each user are being proposed.

[0003] The above information may be provided as background information to aid in understanding the present disclosure. No claim or determination is made as to whether any of the above is applicable as prior art in connection with the present disclosure.

[0004] An electronic device according to the present disclosure may include at least one camera, may include at least one processor including processing circuitry, and may include a memory storing instructions. The instructions may be individually or collectively executed by the at least one processor to cause the electronic device to identify a first object in a first image, store a setting value related to an operation for acquiring the first image in association with information about the first object, acquire a second image through the camera, identify an object corresponding to the first object in the second image, and acquire a third image through the camera using the setting value based on the object being identified in the second image.

[0005] A method of operating an electronic device according to the present disclosure may include an operation of identifying a first object within a first image, an operation of storing a setting value related to an operation of obtaining the first image in association with information about the first object, an operation of obtaining a second image through a camera, an operation of identifying an object corresponding to the first object within the second image, and an operation of obtaining a third image through the camera using the setting value based on the object being identified within the second image.

[0006] In connection with the description of the drawings, the same or similar reference numerals may be used for the same or similar components.

[0007] FIG. 1 is a block diagram of an electronic device within a network environment according to various embodiments.

[0008] FIG. 2 is a block diagram illustrating a camera module according to various embodiments.

[0009] FIG. 3 is a block diagram illustrating the configuration of an electronic device according to one embodiment.

[0010] FIG. 4 is a flowchart illustrating a process of obtaining a third image based on a setting value stored in association with information about a first object identified in a first image in an electronic device according to one embodiment.

[0011] FIG. 5 is an exemplary diagram illustrating a process of acquiring a third image based on a setting value stored in association with information about a first object identified in a first image in an electronic device according to one embodiment.

[0012] FIG. 6 is a flowchart illustrating a process of storing setting values ​​related to an operation for obtaining a first image in association with information about a first object identified in a first image in an electronic device according to one embodiment.

[0013] FIG. 7 is a diagram illustrating a process of an electronic device according to one embodiment of the present invention for identifying and classifying a first object within a first image.

[0014] FIG. 8 is a diagram illustrating an example in which an electronic device according to one embodiment identifies a first object within a first image and stores a setting value in association with information about each first object.

[0015] FIG. 9 is a flowchart illustrating a process by which an electronic device according to one embodiment acquires a third image based on a user's input.

[0016] FIG. 10 is a diagram illustrating an example of an electronic device according to one embodiment displaying a GUI on an area where an object identified on a second image is located through a display.

[0017] FIG. 11 is a flowchart illustrating a process of obtaining a third image by using setting values ​​stored in association with information about an object selected by a user's input when an electronic device according to one embodiment identifies multiple objects in a second image.

[0018] FIG. 12 is a diagram illustrating an example of obtaining a third image by using setting values ​​stored in association with information about an object selected by a user's input when an electronic device according to one embodiment identifies multiple objects in a second image.

[0019] FIG. 13 is a flowchart illustrating a process of storing setting values ​​related to an operation for obtaining a third image in association with information about a first object, as an electronic device obtains a third image according to one embodiment.

[0020] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings so that those skilled in the art can easily implement the present invention. However, the disclosed embodiments may be implemented in various different forms and are not limited to the embodiments described herein.

[0021] The terms used in this disclosure are described as currently common terms, taking into account the functions mentioned herein. However, these terms may mean various other terms depending on the intentions of those skilled in the art, precedents, the emergence of new technologies, etc. Therefore, the terms used in this disclosure should not be interpreted solely based on their names, but rather based on the meanings of the terms and the overall content of this disclosure.

[0022] Additionally, while terms such as first, second, etc. may be used to describe various components, the components are not limited by these terms. These terms are used to distinguish one component from another.

[0023] Throughout the specification, when a part is said to be "connected" to another part, this includes not only the case where the parts are "directly connected," but also the case where the parts are "electrically connected" or "operatively connected" with other elements intervening therebetween. Furthermore, when a part is said to "include" a component, this does not exclude other components, but rather includes other components, unless otherwise stated.

[0024] The phrases “in one embodiment” and the like appearing in various places throughout this disclosure do not necessarily all refer to the same embodiment.

[0025] An embodiment of the present disclosure may be represented by functional block configurations and various processing steps. Some or all of these functional blocks may be implemented by various hardware and / or software configurations that perform specific functions. For example, the functional blocks of the present disclosure may be implemented by one or more microprocessors or by circuit configurations for a given function. Furthermore, for example, the functional blocks of the present disclosure may be implemented in various programming or scripting languages. The functional blocks may be implemented by algorithms that execute on one or more processors. Furthermore, the present disclosure may employ conventional techniques for electronic configuration, signal processing, and / or data processing. Terms such as "mechanism," "element," "means," and "configuration" may be used broadly and are not limited to mechanical and physical configurations.

[0026] Additionally, the connecting lines or connecting members between components depicted in the drawings are merely exemplary representations of functional connections and / or physical or circuit connections. In an actual device, connections between components may be represented by various functional connections, physical connections, or circuit connections that may be replaced or added.

[0027] An electronic device according to the present disclosure can, when acquiring an image using a camera, determine setting values ​​related to an operation for acquiring an image using a camera based on a user's usage history, and acquire an image based on the determined setting values. When an object frequently photographed by a user is included in an image captured by a camera, the electronic device according to the present disclosure can acquire an image based on the preset setting values ​​without requiring the user to input the setting values ​​each time the user captures an image of the frequently photographed object by applying the setting values ​​frequently set by the user to the object. Accordingly, the electronic device according to the present disclosure can provide a convenient user experience to the user based on the usage history of each user.

[0028] FIG. 1 is a block diagram of an electronic device (101) within a network environment (100) according to various embodiments.

[0029] Referring to FIG. 1, in a network environment (100), an electronic device (101) may communicate with an electronic device (102) via a first network (198) (e.g., a short-range wireless communication network), or may communicate with at least one of an electronic device (104) or a 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)).

[0030] 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.

[0031] 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, on the electronic device (101) itself where the artificial intelligence model is executed, 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.

[0032] The number of processors (120) may be one or more. For example, the processor (120) may have a multi-core processor structure such as a dual core, quad core, or hexa core.

[0033] The processor (120) can control the operations of the electronic device (101) by executing instructions stored in the memory (130). For example, the processor (120) can correspond to multiple processors that collectively perform multiple operations by dividing them among the processors.

[0034] 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).

[0035] 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).

[0036] 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).

[0037] 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.

[0038] 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.

[0039] 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).

[0040] 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.

[0041] 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.

[0042] 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).

[0043] 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.

[0044] 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.

[0045] 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).

[0046] 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.

[0047] 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).

[0048] 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.

[0049] 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, for example, by 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).

[0050] According to various embodiments, the antenna module (197) may form 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.

[0051] 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)).

[0052] 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.

[0053] 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 of this document are not limited to the aforementioned devices.

[0054] 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 (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.

[0055] 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).

[0056] Various embodiments of the present document may be implemented as software (e.g., a program (140)) including one or more instructions stored in a storage medium (e.g., an internal memory (136) or an external memory (138)) readable by a machine (e.g., an electronic device (101)). For example, a processor (e.g., a processor (120)) of the machine (e.g., an electronic device (101)) may call at least one instruction among the one or more instructions stored from the storage medium and execute it. This enables the machine to operate to perform at least one function according to the at least one called instruction. The one or more instructions 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' simply means that the storage medium is a tangible device and 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 the storage medium.

[0057] According to one embodiment, the method according to various embodiments disclosed in this document may be provided as a computer program product. The computer program product may be traded between sellers and buyers as a product. The computer program product may be distributed in the form of a device-readable storage medium (e.g., compact disc read-only memory (CD-ROM)) or may be provided through an application store (e.g., Play Store). TM ) or directly between two user devices (e.g., smart phones), online distribution (e.g., downloading or uploading). In the case of online distribution, at least a portion of the computer program product may be at least temporarily stored or temporarily created in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0058] 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 arranged 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.

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

[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. According to 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. According to one embodiment, the image sensor (230) can include one image sensor selected from among image sensors having different properties, such as 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., adjust the read-out timing) 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) 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, or read-out timing control) on at least one of the components included in the camera module (180) (e.g., the 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., the memory (130), the display module (160), the electronic device (102), the electronic device (104), or the 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. 3 is a block diagram illustrating the configuration of an electronic device (101) according to one embodiment.

[0066] An electronic device (101) according to one embodiment may include a display (310) (e.g., a display module (160) of FIG. 1), a camera module (320) (e.g., a camera module (180) of FIG. 1 or FIG. 2), a memory (330) (e.g., a memory (130) of FIG. 1), and a processor (340) (e.g., a processor (120) of FIG. 1). FIG. 3 is provided to explain an example of a configuration of an electronic device (101) according to one embodiment, and the electronic device (101) may be configured by omitting some of the components illustrated in FIG. 3 or replacing them with other components. The electronic device (101) may further include other components in addition to the components illustrated in FIG. 3.

[0067] In one embodiment, the memory (330) may store instructions. The processor (340) may execute the instructions stored in the memory (330) to perform operations or control the operation of the electronic device (101). In the present disclosure, the operation of the electronic device (101) may be understood as being performed by the processor (340) executing the instructions stored in the memory (330).

[0068] In one embodiment, the electronic device (101) may control the camera module (320) to acquire a first image. The electronic device (101) may identify at least one area included in the first image using segmentation, which classifies the area by category. Here, the category may refer to a category that classifies pixels according to which subject was photographed. The segmentation may refer to, for example, semantic segmentation, which classifies the image into a plurality of pixel sets using an artificial intelligence model. For example, the electronic device (101) may input the image into an artificial intelligence model that semantically segments the image to acquire a segmentation map. Alternatively, the electronic device (101) may transmit the image or information related to the image to an external device (e.g., the server (108) of FIG. 1) and receive a segmentation map from the external device. The electronic device (101) may perform first image signal processing on an area associated with a specified category (e.g., a person) among the identified at least one area. The first image signal processing may include an image processing operation of converting the first image into a color image format (e.g., a format similar to the Joint Photograph Expert Group (JPG) format) so as to obtain at least one of color information or brightness information from the first image. The first image signal processing may include software image signal processing corresponding to at least one of a demosaicing operation, an operation of applying an auto white balance gain, an operation of applying a color correction matrix (CCM), an operation of performing dynamic range correction, or an operation of performing gamma correction, for example. The first image signal processing may include a simple image processing operation performed so as to obtain statistical information from the first image.The electronic device (101) may calculate statistics on pixel values ​​of pixels based on data acquired as a result of performing the first image signal processing. For example, the statistics on pixel values ​​of pixels may include an average value of red channel values, an average value of green channel values, an average value of blue channel values, or an average value of luminance values. The statistics on pixel values ​​of pixels are not limited thereto and may be determined in various ways depending on the embodiment. The electronic device (101) may be configured to determine an environment for capturing an image based on statistical information including statistical values ​​calculated for an area associated with a specified category and a database stored in at least one memory (330), and to determine at least one image processing operation set to be applied to the determined environment. The image processing operation may include an operation for improving the image quality. The image processing operation may include an operation related to color expression, contrast, sharpness, or other image quality improvement elements. For example, the image processing operation may include at least one of an operation for adjusting white balance, an operation for correcting color, an operation for removing image noise, or an operation for adjusting image contrast. For example, the electronic device (101) may determine whether to perform auto white balance by applying an auto white balance gain value applied to an image of a person, or to perform auto white balance by applying an auto white balance gain value applied to an image of a natural object. Examples of the image processing operation are not limited thereto. For example, the image processing operation may include an operation for adjusting an exposure value or an operation for applying a color correction matrix. The electronic device (101) may be configured to perform second image signal processing including at least one image processing operation on the first image to obtain a second image.The second image signal processing may include image processing performed to obtain a second image from the first image.

[0069] In one embodiment, the database may include reference information defining criteria for classifying statistical information. The electronic device (101) may be configured to compare statistical information for a plurality of patches with the reference information, classify the plurality of patches based on the comparison results, and determine at least one image processing operation based on the classification results. For example, the electronic device (101) may determine an environment for capturing an image based on the results of classifying the plurality of patches, and determine at least one image processing operation set to be applied to the determined environment. However, the present invention is not limited thereto.

[0070] FIG. 4 is a flowchart illustrating a process of obtaining a third image based on a setting value stored in association with information about a first object identified in a first image (e.g., 510 of FIG. 5) in an electronic device (101) according to one embodiment.

[0071] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0072] According to one embodiment, identification numbers 410 to 450 may be understood to be performed in a processor (e.g., processor (120) of FIG. 1 and / or processor (340) of FIG. 3) of an electronic device (e.g., electronic device (101) of FIG. 1 and / or FIG. 3).

[0073] At identification number 410, the electronic device (101) can identify a first object within a first image (e.g., 510 of FIG. 5).

[0074] According to one embodiment, at least one first image (e.g., 510 of FIG. 5) may include an image previously stored in the electronic device (101). According to one embodiment, at least one first image (e.g., 510 of FIG. 5) may include an image captured by a camera of the electronic device (101) (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). According to one embodiment, at least one first image (e.g., 510 of FIG. 5) may be an image not captured by a camera of the electronic device (101) (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). For example, at least one first image (e.g., 510 of FIG. 5) may include an image downloaded to the electronic device (101) via a server (e.g., 108 of FIG. 1) and / or an external electronic device (e.g., 102, 104 of FIG. 1).

[0075] According to one embodiment, the first object (e.g., 515 of FIG. 5) may include at least one of a person, an object, or a background. For example, the first object (e.g., 515 of FIG. 5) may be a person. For example, the first object (e.g., 515 of FIG. 5) may be an animal. For example, the first object (e.g., 515 of FIG. 5) may be a natural object. However, the type of the first object (e.g., 515 of FIG. 5) is not limited thereto.

[0076] For example, the electronic device (101) can acquire a plurality of images of a first object (e.g., 515 of FIG. 5) viewed from different directions within at least one image acquired by a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). For example, the electronic device (101) can store the acquired plurality of image data in association with the first object (e.g., 515 of FIG. 5) based on the acquisition of a plurality of image data of a first object (e.g., 515 of FIG. 5) viewed from different directions within at least one image acquired by a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). The electronic device (101) can identify image data of a first object (e.g., 515 of FIG. 5) within a first image (510) based on a plurality of image data associated with the first object (e.g., 515 of FIG. 5). For example, the electronic device (101) can identify image data of a first object (e.g., 515 of FIG. 5) within the first image (510) by determining a similarity between a plurality of image data associated with the first object (e.g., 515 of FIG. 5) and the image data within the first image (510).

[0077] At identification number 420, the electronic device (101) can store setting values ​​related to an operation for acquiring a first image (e.g., 510 of FIG. 5) in association with information about a first object (e.g., 515 of FIG. 5).

[0078] In one embodiment, the electronic device (101) may classify at least one image determined to contain the same object based on the object. The electronic device (101) may store setting values ​​for the images classified based on the included object in association with the object. For example, the electronic device (101) may store setting values ​​used to acquire at least one first image determined to contain the first object in association with the first object.

[0079] According to one embodiment, the electronic device (101) may store information about a first object (e.g., 515 of FIG. 5) in the memory (330). According to one embodiment, the electronic device (101) may store information about a plurality of first objects (e.g., 515 of FIG. 5) in the memory (330). According to one embodiment, the information about the first object (e.g., 515 of FIG. 5) may include three-dimensional modeling data about the first object (e.g., 515 of FIG. 5). For example, information about a first object (e.g., 515 of FIG. 5) may include image data of the first object (e.g., 515 of FIG. 5) captured from a plurality of directions based on the first object (e.g., 515 of FIG. 5) when a plurality of first images (e.g., 510 of FIG. 5) captured of the first object (e.g., 515 of FIG. 5) are stored in the memory (330) of the electronic device (101). For example, 3D modeling data for the first object (e.g., 515 of FIG. 5) may be generated based on image data of the first object (e.g., 515 of FIG. 5) captured from a plurality of directions based on the first object (e.g., 515 of FIG. 5).

[0080] According to one embodiment, the electronic device (101) may store setting values ​​related to an operation for acquiring a first image (e.g., 510 of FIG. 5) in association with information about a first object (e.g., 515 of FIG. 5). In one embodiment, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include setting values ​​related to an operation for a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) to acquire an image. The setting values ​​may refer to setting values ​​used to capture the first image (e.g., 510 of FIG. 5) or perform image processing on the first image.

[0081] In one embodiment, a setting value related to an operation for acquiring a first image (e.g., 510 of FIG. 5) may include a setting value related to a shooting mode of a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). For example, a setting value related to an operation for acquiring a first image (e.g., 510 of FIG. 5) may include whether a portrait mode is set. For example, a setting value related to an operation for acquiring a first image (e.g., 510 of FIG. 5) may include whether a photo shooting mode is set. For example, a setting value related to an operation for acquiring a first image (e.g., 510 of FIG. 5) may include whether a night shooting mode is set. For example, a setting value related to an operation for acquiring a first image (e.g., 510 of FIG. 5) may include whether a video shooting mode is set. For example, a setting value related to an operation for acquiring a first image (e.g., 510 of FIG. 5) may include whether a slow-motion mode or a quick-motion mode is set. For example, a setting value related to an operation for acquiring a first image (e.g., 510 of FIG. 5) may include whether a food photography mode or a landscape photography mode is set. For example, a setting value related to an operation for acquiring a first image (e.g., 510 of FIG. 5) may include whether at least one of a black-and-white mode, a sepia mode, or an out-of-focus mode is set.

[0082] According to one embodiment, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include setting values ​​related to focus adjustment. According to one embodiment, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include setting values ​​related to auto focus adjustment. For example, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include setting values ​​related to at least one of an f-number or a focal length of a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). For example, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include information related to whether an object located adjacent to the center of the first image (e.g., 510 of FIG. 5) is in focus. For example, a setting value related to an operation for acquiring a first image (e.g., 510 of FIG. 5) may include at least one of information regarding whether a predetermined object is in focus within the first image (e.g., 510 of FIG. 5) or information regarding a predetermined object in focus. For example, a setting value related to an operation for acquiring a first image (e.g., 510 of FIG. 5) may include information regarding whether a predetermined location selected according to a user's input is in focus within the first image (e.g., 510 of FIG. 5).

[0083] According to one embodiment, the setting value associated with the operation for acquiring the first image (e.g., 510 of FIG. 5) may include an exposure value. For example, the setting value associated with the operation for acquiring the first image (e.g., 510 of FIG. 5) may include an auto exposure value. For example, the exposure value may include an offset value applied to an appropriate exposure value determined based on a detected brightness value.

[0084] According to one embodiment, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include setting values ​​related to white balance. According to one embodiment, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include values ​​related to auto white balance settings. For example, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include a gain value of an adjusted color to adjust the white balance of the first image (e.g., 510 of FIG. 5).

[0085] According to one embodiment, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include a shutter speed.

[0086] According to one embodiment, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include setting information related to a filter. For example, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include information related to whether a filter has been applied to the first image (e.g., 510 of FIG. 5). For example, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include information related to the type of filter applied to the first image (e.g., 510 of FIG. 5).

[0087] According to one embodiment, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include values ​​related to the setting of HDR (high dynamic range). According to one embodiment, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include information related to whether HDR is used.

[0088] According to one embodiment, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include information related to the setting of a multi-camera. According to one embodiment, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include information related to at least one camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) used to capture the first image (e.g., 510 of FIG. 5) among a plurality of cameras (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). For example, the setting values ​​related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include information about which camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) among a plurality of cameras was used to capture the first image (e.g., 510 of FIG. 5). For example, a setting value related to an operation for acquiring a first image (e.g., 510 of FIG. 5) may include information about an angle of view of a camera (e.g., a camera module (180) of FIGS. 1 and 2, a camera module (320) of FIG. 3) used to capture the first image (e.g., 510 of FIG. 5) among a plurality of cameras (e.g., a camera module (180) of FIGS. 1 and 2, a camera module (320) of FIG. 3). For example, a setting value related to an operation for acquiring a first image (e.g., 510 of FIG. 5) may include information about whether a plurality of images were captured using a plurality of cameras (e.g., a camera module (180) of FIGS. 1 and 2, a camera module (320) of FIG. 3) and the first image (e.g., 510 of FIG. 5) was acquired by synthesizing the captured plurality of images.However, the electronic device (101) according to the present disclosure is not limited to a case where the number of cameras included in the electronic device (101) (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) is plural, and may also include an electronic device (101) including one camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3).

[0089] In one embodiment, an operation of storing setting values ​​related to an operation for obtaining a first image (e.g., 510 of FIG. 5) of identification number 420 in association with information about a first object (e.g., 515 of FIG. 5) may or may not be performed sequentially with an operation of obtaining a second image (e.g., 520 of FIG. 5) through a camera (e.g., camera module (180) of FIGS. 1 and 2, camera module (320) of FIG. 3) according to identification number 430.

[0090] At identification number 430, the electronic device (101) can obtain a second image (e.g., 520 of FIG. 5) through a camera (e.g., camera module (180) of FIGS. 1 and 2, camera module (320) of FIG. 3).

[0091] In one embodiment, the second image (e.g., 520 of FIG. 5) may include an image acquired while the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) is taking an image. In one embodiment, the second image (e.g., 520 of FIG. 5) may include an image acquired while the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) is running. In one embodiment, the second image (e.g., 520 of FIG. 5) may include an image acquired through the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) before taking an image while the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) is running.

[0092] In one embodiment, the second image (e.g., 520 of FIG. 5) may include a preview image. According to one embodiment, the second image (e.g., 520 of FIG. 5) may include an image displayed on the display (160) of the electronic device (101) before capturing the image.

[0093] At identification number 440, the electronic device (101) can identify an object corresponding to the first object (e.g., 515 of FIG. 5) within the second image (e.g., 520 of FIG. 5).

[0094] An electronic device (101) according to one embodiment may identify an object corresponding to a first object (e.g., 515 of FIG. 5) within a second image (e.g., 520 of FIG. 5) based on information about a first object (e.g., 515 of FIG. 5) stored in a memory (330). For example, the information about the first object (e.g., 515 of FIG. 5) may include image data included in the first image (e.g., 510 of FIG. 5). For example, the information about the first object (e.g., 515 of FIG. 5) may include image data of the first object (e.g., 515 of FIG. 5) included in the first image (e.g., 510 of FIG. 5). For example, the information about the first object (e.g., 515 of FIG. 5) may include data regarding the appearance of the first object (e.g., 515 of FIG. 5).

[0095] According to one embodiment, information about a first object (e.g., 515 of FIG. 5) may include three-dimensional modeling data about the first object (e.g., 515 of FIG. 5). For example, information about the first object (e.g., 515 of FIG. 5) may include image data of the first object (e.g., 515 of FIG. 5) captured from a plurality of directions based on the first object (e.g., 515 of FIG. 5) when a plurality of first images (e.g., 510 of FIG. 5) captured of the first object (e.g., 515 of FIG. 5) are stored in the memory (330) of the electronic device (101). For example, 3D modeling data for a first object (e.g., 515 in FIG. 5) may be generated based on image data of the first object (e.g., 515 in FIG. 5) captured from multiple directions with respect to the first object (e.g., 515 in FIG. 5).

[0096] For example, information about a first object (e.g., 515 in FIG. 5) may include information about a category of the first object (e.g., 515 in FIG. 5). For example, information about the first object (e.g., 515 in FIG. 5) may include information about whether the first object (e.g., 515 in FIG. 5) is a person, an animal, a natural object, a car, or a background.

[0097] For example, information about a first object (e.g., 515 in FIG. 5) may include image data of a face of the first object (e.g., 515 in FIG. 5) if the first object (e.g., 515 in FIG. 5) is a person. For example, information about a first object (e.g., 515 in FIG. 5) may include information about a size of the first object (e.g., 515 in FIG. 5) if the first object (e.g., 515 in FIG. 5) is a person.

[0098] For example, information about a first object (e.g., 515 of FIG. 5) may include information about the type of the first object (e.g., 515 of FIG. 5) if the first object (e.g., 515 of FIG. 5) is an animal. For example, information about a first object (e.g., 515 of FIG. 5) may include image data of a face of the first object (e.g., 515 of FIG. 5) if the first object (e.g., 515 of FIG. 5) is an animal.

[0099] For example, information about a first object (e.g., 515 in FIG. 5) may include information about a location of the first object (e.g., 515 in FIG. 5) when the first object (e.g., 515 in FIG. 5) is the background of an image. For example, information about a first object (e.g., 515 in FIG. 5) may include information about a type of the first object (e.g., 515 in FIG. 5) when the first object (e.g., 515 in FIG. 5) is the background of an image.

[0100] In one embodiment, the electronic device (101) can identify image data of an object (e.g., 525 of FIG. 5) corresponding to a first object (e.g., 515 of FIG. 5) within a second image (e.g., 520 of FIG. 5). According to one embodiment, the electronic device (101) can identify image data of an object corresponding to a first object (e.g., 515 of FIG. 5) within a second image (e.g., 520 of FIG. 5) based on data stored in the memory (330). In one embodiment, the electronic device (101) can identify an area where image data of an object corresponding to the first object (e.g., 515 of FIG. 5) is located within the second image (e.g., 520 of FIG. 5). According to one embodiment, the electronic device (101) can identify image data of an object corresponding to a face of a person or an animal within the second image (e.g., 520 of FIG. 5) through a face recognizer.

[0101] According to one embodiment, the electronic device (101) can compare information about a pre-stored first object (e.g., 515 of FIG. 5) with image data included in a second image (e.g., 520 of FIG. 5). According to one embodiment, the electronic device (101) can compare image data of a pre-stored first object (e.g., 515 of FIG. 5) with image data included in a second image (e.g., 520 of FIG. 5). An electronic device (101) according to one embodiment may compare data regarding a first object (e.g., 515 of FIG. 5) that has been previously stored with image data included in a second image (e.g., 520 of FIG. 5), and if a similarity between the data regarding the first object (e.g., 515 of FIG. 5) that has been previously stored and the image data included in the second image (e.g., 520 of FIG. 5) is higher than a predetermined value, the electronic device (101) may identify that the image data included in the second image (e.g., 520 of FIG. 5) is data obtained by photographing the first object (e.g., 515 of FIG. 5). In this case, the electronic device (101) may identify that an object corresponding to the first object (e.g., 515 of FIG. 5) is included in the second image (e.g., 520 of FIG. 5).

[0102] An electronic device (101) according to one embodiment may display a second image (e.g., 520 of FIG. 5) through a display (160). In this case, when an object corresponding to a first object (e.g., 515 of FIG. 5) is identified within the second image (e.g., 520 of FIG. 5), a GUI may be displayed on an area of ​​the second image (e.g., 520 of FIG. 5) where the identified object is located. The electronic device (101) according to one embodiment may receive a user input for the displayed GUI. Based on the received user input, the electronic device (101) may acquire a third image (e.g., 530 of FIG. 5) by using setting values ​​stored in association with information about the first object (e.g., 515 of FIG. 5).

[0103] In the identification number 450, the electronic device (101) can obtain a third image (e.g., 530 of FIG. 5) through a camera (e.g., camera module (180) of FIGS. 1 and 2, camera module (320) of FIG. 3) using the setting value.

[0104] According to one embodiment, the electronic device (101) can capture a third image (e.g., 530 of FIG. 5) through a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). The electronic device (101) can store the captured third image (e.g., 530 of FIG. 5) in the memory (330) or the server (108). The electronic device (101) can apply setting values ​​related to an operation for acquiring the first image (e.g., 510 of FIG. 5) stored in step 420 of the identification number to the third image (e.g., 530 of FIG. 5). The operation of applying the setting value to the third image (e.g., 530 in FIG. 5) may be performed before acquiring the third image (e.g., 530 in FIG. 5) or may be performed after acquiring the third image (e.g., 530 in FIG. 5).

[0105] FIG. 5 is an exemplary drawing for explaining a process of obtaining a third image based on a setting value stored in association with information about a first object identified in a first image (510) in an electronic device (101) according to one embodiment.

[0106] An electronic device (101) according to one embodiment can identify a first object (515) within a first image (510). Referring to FIG. 5, for example, the electronic device (101) can identify at least one first object (515) within the first image (510). For example, the electronic device (101) can acquire the first image (510) through a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3), detect an animal's face within the acquired first image (510), and identify that the first image (510) includes an image of the animal as the first object (515).

[0107] An electronic device (101) according to one embodiment may store setting values ​​related to an operation for acquiring a first image (510) in association with information about a first object (515). For example, the electronic device (101) may store information related to at least one of the type, appearance, or name of the first object (515) as information about the first object (515) in the memory (330). For example, the electronic device (101) may store information about the first object (515) being an animal, information about the appearance of the face of the first object (515) and its name in the memory (330). For example, the electronic device (101) may store, in relation to an operation for acquiring a first image (510), setting values ​​determined for a shooting mode and a focus position of a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) in association with information about the first object (515). For example, the electronic device (101) may identify, in relation to an operation for acquiring a first image (510), that the shooting mode of the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) is determined to be an out-focusing mode based on the first object (515). For example, the electronic device (101) may identify, in relation to an operation for acquiring a first image (510), that the location of the focus of a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) is determined to be the location of the face of the first object (515). In this case, the electronic device (101) may store, in association with information about the first object (515), that the shooting mode of the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) is determined to be the out-focusing mode and that the location of the focus of the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) is determined to be the location of the face of the first object (515).

[0108] According to one embodiment, the electronic device (101) may acquire a second image (520) through a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). For example, the second image (520) may include an image acquired through the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) before capturing an image while the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) is running. For example, the second image (e.g., 520 of FIG. 5) may include a preview image. According to one embodiment, the second image (e.g., 520 of FIG. 5) may include an image displayed on the display (160) of the electronic device (101) before capturing an image.

[0109] According to one embodiment, the electronic device (101) can identify an object (525) corresponding to the first object (515) within the second image (520). For example, if the electronic device (101) identifies image data having a similarity level of a predetermined value or higher with previously stored image data for the first object (515) within the second image (520), the electronic device (101) can determine that the object (525) corresponding to the first object (515) within the second image (520) has been identified. For example, if the electronic device (101) identifies image data having a similar appearance and type of face to the first object (515), that is, a puppy, within the second image (520), the electronic device can identify the object (525) corresponding to the first object (515) within the second image (520).

[0110] An electronic device (101) according to one embodiment may acquire a third image (530) through a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) using setting values ​​related to an operation for acquiring a first image (510). An electronic device (101) according to one embodiment may apply a pre-stored setting value related to an operation for acquiring a first image (510) to a second image (520). For example, a pre-stored setting value related to an operation for acquiring a first image (510) may be applied to a captured third image (530). For example, the electronic device (101) may store, in relation to the operation of capturing the first image (510), information about the first object (515) that the capturing mode of the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) is determined to be an out-focusing mode and the location of the focus of the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) is determined to be the location of the face of the first object (515). In this case, the electronic device (101) determines the shooting mode of the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) as the out-focusing mode, and determines the position of the focus of the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) as the position of the face of the object (525) corresponding to the first object (515), thereby obtaining the third image (530).

[0111] FIG. 6 is a flowchart illustrating a process of storing setting values ​​related to an operation for obtaining a first image in association with information about a first object (e.g., 515 of FIG. 5) identified in a first image (e.g., 510 of FIG. 5) in an electronic device (101) according to one embodiment.

[0112] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0113] According to one embodiment, identification numbers 610 to 640 may be understood to be performed in a processor (e.g., processor (120) of FIG. 1 and / or processor (340) of FIG. 3) of an electronic device (e.g., electronic device (101) of FIG. 1 and / or FIG. 3).

[0114] At identification number 610, the electronic device (101) can acquire a first image (e.g., 510 of FIG. 5), and at identification number 620, the electronic device (101) can identify at least one first object (e.g., 515 of FIG. 5) within the first image (e.g., 510 of FIG. 5). Since steps of identification numbers 610 and 620 correspond to the description of identification number 410 of FIG. 4, they are omitted here for convenience.

[0115] At the identification number 630, the electronic device (101) can determine whether a setting value exists in relation to an operation for acquiring a first image (e.g., 510 of FIG. 5). In one embodiment, the setting value related to the operation for acquiring the first image (e.g., 510 of FIG. 5) may include setting values ​​related to an operation for acquiring an image by a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). The setting value may refer to a setting value used to capture the first image (e.g., 510 of FIG. 5) or to perform image processing on the first image. For example, the setting value may be determined before acquiring the first image (e.g., 510 of FIG. 5), or may be determined after acquiring the first image (e.g., 510 of FIG. 5) and applied to the first image (e.g., 510 of FIG. 5). In one embodiment, the electronic device (101) may determine whether a setting value set by a user's input exists in relation to an operation for acquiring a first image (e.g., 510 of FIG. 5). For example, the electronic device (101) may receive a user's input that determines a setting value related to an operation for acquiring a first image (e.g., 510 of FIG. 5). For example, the electronic device (101) may determine whether a setting value determined by a user's input exists in relation to at least one of a setting value related to a shooting mode of a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3), a setting value related to focus adjustment, an exposure value, a setting value related to white balance, a shutter speed, setting information related to a filter, a value related to a setting of HDR (high dynamic range), or information related to a setting of a multi-camera, in relation to an operation for acquiring a first image (e.g., 510 of FIG. 5).For example, the electronic device (101) may receive a user input that determines a shooting mode of a camera (e.g., a camera module (180) of FIGS. 1 and 2, a camera module (320) of FIG. 3) as a portrait mode and determines a focus position of the camera (e.g., a camera module (180) of FIGS. 1 and 2, a camera module (320) of FIG. 3) as a position of a face of a first object (e.g., 515 of FIG. 5) in relation to an operation of acquiring a first image (e.g., 510 of FIG. 5). In this case, the electronic device (101) may store a setting value that determines the shooting mode of the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) as a portrait mode in association with information about the first object (e.g., 515 of FIG. 5), and determines the position of the focus of the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) as the position of the face of the first object (e.g., 515 of FIG. 5).

[0116] In case the electronic device (101) determines that a setting value exists in relation to an operation for acquiring a first image (e.g., 510 of FIG. 5) at identification number 630, the electronic device (101) can store the setting value in association with information about the first object (e.g., 515 of FIG. 5) at identification number 640. The step of identification number 640 corresponds to the description of identification number 420 of FIG. 4, and therefore, for convenience, it will be omitted here.

[0117] In the case where the electronic device (101) determines that there is no setting value in relation to the operation for obtaining the first image (e.g., 510 of FIG. 5) at the identification number 630, the electronic device (101) may not store the setting value related to the operation for obtaining the first image.

[0118] FIG. 7 is a diagram illustrating a process of an electronic device according to one embodiment identifying and classifying a first object (e.g., 515 of FIG. 5) within a first image (e.g., 510 of FIG. 5).

[0119] According to one embodiment, the at least one first image (510) may include an image previously stored in the electronic device (101). According to one embodiment, the at least one first image (510) may include an image captured by a camera of the electronic device (101) (e.g., the camera module (180) of FIGS. 1 and 2 , the camera module (320) of FIG. 3 ). According to one embodiment, the at least one first image (510) may be an image not captured by a camera of the electronic device (101) (e.g., the camera module (180) of FIGS. 1 and 2 , the camera module (320) of FIG. 3 ). For example, the first image (510) may include an image downloaded to the electronic device (101) via a server (e.g., 108 of FIG. 1 ) or an external electronic device (e.g., 102, 104 of FIG. 1 ).

[0120] According to one embodiment, the first object (e.g., 515 of FIG. 5) may include at least one of a person, an object, or a background. For example, the first object (e.g., 515 of FIG. 5) may be a person. For example, the first object (e.g., 515 of FIG. 5) may be an animal. For example, the first object (e.g., 515 of FIG. 5) may be a natural object. However, the type of the first object (e.g., 515 of FIG. 5) is not limited thereto.

[0121] According to one embodiment, the electronic device (101) may include an image analyzer (710) that analyzes an image captured by a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). The image analyzer (710) may include a plurality of recognizers. The image analyzer (710) may recognize a first object (e.g., 515 of FIG. 5) within at least one first image (510). The at least one first object (e.g., 515 of FIG. 5) recognized by the image analyzer (710) may be classified and stored according to the type of the first object (e.g., 515 of FIG. 5).

[0122] For example, the image analyzer (710) may include a face recognizer (720). The face recognizer (720) may recognize a face of a person or an animal within at least one first image (510). Based on the result of recognizing the face, the face recognizer (720) may classify the at least one first image (510) in which the face of the person or animal is recognized, into each person or animal. At least one first image (721, 723, 725) classified into each person or animal may be stored as information about each person or animal.

[0123] For example, the image analyzer (710) may include an animal recognizer (730). The animal recognizer (730) may recognize an animal. The animal recognizer (730) may recognize an animal within at least one first image (510). Based on the result of recognizing the animal, the animal recognizer (730) may classify the at least one first image (510) in which the face of the animal is recognized, by animal. The classified at least one first image (731, 733) may be stored as information about each animal. For example, the animal recognizer (730) may classify at least one image of an animal recognized within at least one first image (510) by animal type.

[0124] For example, the image analyzer (710) may include a car recognizer (740). The car recognizer (740) may recognize a car. The car recognizer (740) may recognize a car within at least one first image (510). Based on the recognition result, the car recognizer (740) may classify the at least one first image (510) in which the car is recognized as an image including the car. The classified at least one first image (741) may be stored as information about each car. For example, the car recognizer (740) may classify at least one image of a car recognized within at least one first image (510) by car type.

[0125] FIG. 8 is a diagram illustrating an example in which an electronic device according to one embodiment identifies a first object (e.g., 515 of FIG. 5) within a first image (e.g., 510 of FIG. 5) and stores a setting value in association with information about each first object (e.g., 515 of FIG. 5).

[0126] An electronic device (101) according to one embodiment can identify at least one first object (e.g., 515 of FIG. 5, 811, 813 of FIG. 8) within at least one first image (510). In one embodiment, the electronic device (101) can recognize at least one first object (e.g., 515 of FIG. 5, 811, 813 of FIG. 8) within at least one first image (510) through an image analyzer (e.g., 710 of FIG. 7).

[0127] According to one embodiment, the electronic device (101) may determine whether a setting value exists in relation to an operation for acquiring the first image (e.g., 510 of FIG. 5) by identifying at least one first object (e.g., 515 of FIG. 5, 811, 813 of FIG. 8) within at least one first image (510). If the electronic device (101) determines that a setting value exists in relation to an operation for acquiring the first image (e.g., 510 of FIG. 5), the electronic device (101) may store the setting value in association with information about the first object (e.g., 515 of FIG. 5, 811, 813 of FIG. 8). The electronic device (101) may classify at least one first image (510) for each first object (e.g., 515 of FIG. 5, 811, 813 of FIG. 8). If it is determined that there is a setting value for at least one first image (510) classified by each first object (e.g., 515 of FIG. 5, 811, 813 of FIG. 8), the electronic device (101) can store the setting value applied to each item (820, 830, 840, 850) of at least one first image (510) classified by each first object (e.g., 515 of FIG. 5, 811, 813 of FIG. 8) so as to correspond to each item (820, 830, 840, 850).

[0128] For example, referring to FIG. 8, a first person object (811) and a first car object (813) may be identified within at least one first image (510). The first image (510) in which the first person object (811) and the first car object (813) are identified may be classified to be included within an item (830) for the first person object (811) and an item (850) for the first car object (813). For example, if a black and white filter is applied to a first image (510) in which a first person object (811) and a first car object (813) are identified, and the first image (510) is captured by an ultra-wide-angle camera among a plurality of cameras (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3), setting information related to the filter and multi-camera setting information may be stored to correspond to each of an item (830) for the first person object (811) and an item (850) for the first car object (813). In this case, information indicating that the black and white filter and the ultra-wide-angle camera were selected for capturing may be stored in the item (830) for the first person object (811) and the item (850) for the first car object (813).

[0129] According to one embodiment, the electronic device (101) may determine preference information for each first object (811, 813) based on at least one of the number of times each of the first objects (811, 813) is identified within the first image (510) or the area each of the first objects (811, 813) occupies within the first image (510). For example, the electronic device (101) may determine a higher preference information value for each of the first objects (811, 813) as the number of times each of the first objects (811, 813) is identified within the first image (510). For example, the electronic device (101) may determine a higher preference information value for each of the first objects (811, 813) as the area each of the first objects (811, 813) occupies within the first image (510).

[0130] According to one embodiment, as objects corresponding to the plurality of first objects (811, 813) are identified in the second image (520), the electronic device (101) may select at least one object from among the plurality of objects based on preference information for each of the first objects (811, 813), and acquire a third image (530) through a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) using a setting value stored in association with information about the selected at least one object. For example, the electronic device (101) may select a first object (811, 813) corresponding to a relatively high preference information value from among the first objects (811, 813), and acquire a third image (530) using a setting value stored in association with information about the selected first object (811, 813).

[0131] In one embodiment, as a plurality of first images (510) are acquired, the electronic device (101) may store a plurality of setting values ​​within each item (820, 830, 840, 850) of the first images (510) classified by each first object (e.g., 515 of FIG. 5, 811, 813 of FIG. 8). In this case, the electronic device (101) may select the setting value applied at the highest ratio for each item (820, 830, 840, 850). The electronic device (101) may store the selected setting value in the memory (330) in correspondence with each item (820, 830, 840, 850). In this case, the electronic device (101) can acquire a third image (530) through a camera (e.g., camera module (180) of FIGS. 1 and 2, camera module (320) of FIG. 3) using a setting value stored to correspond to a predetermined item when a first object (e.g., 811, 813) corresponding to a predetermined item among each item (820, 830, 840, 850) is identified in the second image (e.g., 520 of FIG. 5).

[0132] In one embodiment, the operations illustrated in FIGS. 6 through 8 may be performed while the electronic device (101) is not being used by a user. In this case, the electronic device (101) can use power efficiently and further minimize power loss.

[0133] In one embodiment, the operations illustrated in FIGS. 6 through 8 may be performed whenever the electronic device (101) stores a first image (e.g., 510 of FIG. 5). In this case, the electronic device (101) may further enhance user convenience by quickly updating the user's preference information.

[0134] In one embodiment, the operations illustrated in FIGS. 6 through 8 may be performed periodically at predetermined time intervals.

[0135] FIG. 9 is a flowchart illustrating a process by which an electronic device according to one embodiment acquires a third image based on a user's input.

[0136] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0137] According to one embodiment, identification numbers 910 to 940 may be understood to be performed in a processor (e.g., processor (120) of FIG. 1 and / or processor (340) of FIG. 3) of an electronic device (e.g., electronic device (101) of FIG. 1 and / or FIG. 3).

[0138] Referring to identification number 430 of FIG. 4, the electronic device (101) can acquire a second image (e.g., 520 of FIG. 5) through a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). At identification number 910, the electronic device (101) can display the acquired second image (e.g., 520 of FIG. 5) through the display (160).

[0139] In one embodiment, the electronic device (101) can display a second image (e.g., 520 of FIG. 5) acquired while capturing an image by a camera (e.g., camera module (180) of FIGS. 1 and 2, camera module (320) of FIG. 3) through the display (160). In one embodiment, the electronic device (101) can display a second image (e.g., 520 of FIG. 5) acquired while the camera (e.g., camera module (180) of FIGS. 1 and 2, camera module (320) of FIG. 3) is running through the display (160). In one embodiment, the electronic device (101) may display a second image (e.g., 520 of FIG. 5) acquired through the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) through the display (160) before capturing an image while the camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) is running. In one embodiment, the electronic device (101) may display a preview image as the second image (e.g., 520 of FIG. 5) through the display (160).

[0140] At identification number 920, the electronic device (101) can identify an object (e.g., 525 of FIG. 5) corresponding to a first object (e.g., 515 of FIG. 5) within a second image (e.g., 520 of FIG. 5). The step of identification number 920 corresponds to the description of identification number 440 of FIG. 4, and therefore, for convenience, it will be omitted here.

[0141] At identification number 930, the electronic device (101) can display a GUI on an area where an identified object (e.g., 525 of FIG. 5) is located on a second image (e.g., 520 of FIG. 5).

[0142] In one embodiment, the electronic device (101) may display a GUI indicating that an object has been identified on at least a portion of an area where an identified object (e.g., 525 of FIG. 5) is located on a second image (e.g., 520 of FIG. 5) displayed on the display (160). In one embodiment, when a plurality of objects (e.g., 525 of FIG. 5) are identified on the second image (e.g., 520 of FIG. 5), the electronic device (101) may display GUIs indicating that an object has been identified on an area where the plurality of identified objects (e.g., 525 of FIG. 5) are located. For example, the electronic device (101) may display, through the display (160), information about at least one of the type of the identified object (e.g., 525 of FIG. 5), the name, the number of times the identified object has been recognized in previously stored images, information about a setting value stored in association with a first object (e.g., 515 of FIG. 5) corresponding to the identified object, or information about the similarity between the identified object and the first object (e.g., 515 of FIG. 5).

[0143] At identification number 940, the electronic device (101) can determine whether a user input for the displayed GUI has been received.

[0144] In one embodiment, the electronic device (101) may receive a user input for a displayed GUI. For example, the electronic device (101) may receive a user touch input for an area on the display (160) where the GUI is displayed. If the electronic device (101) determines that a user touch input has been received for an area where the GUI is displayed, the electronic device (101) may determine that the displayed GUI has been selected by the user. In this case, the electronic device (101) may select an object (e.g., 1111 of FIG. 12) corresponding to the GUI selected by the user.

[0145] Referring to the identification number 450 of FIG. 4, when it is determined that a user's input for the GUI indicated by the identification number 940 has been received, the electronic device (101) can acquire a third image (e.g., 530 of FIG. 5) through a camera (e.g., camera module (180) of FIGS. 1 and 2, camera module (320) of FIG. 3) using a pre-stored setting value for an object corresponding to the GUI selected by the user's input (e.g., 1111 of FIG. 12).

[0146] For example, if the electronic device (101) determines that a user's touch input has been received for an area where a GUI is displayed, the electronic device (101) may determine that the displayed GUI has been selected by the user. In this case, the electronic device (101) may acquire a third image (e.g., 530 of FIG. 5) through a camera (e.g., camera module (180) of FIGS. 1 and 2, camera module (320) of FIG. 3) using a pre-stored setting value for an object corresponding to the GUI selected by the user (e.g., 1111 of FIG. 12).

[0147] FIG. 10 is a diagram illustrating an example of an electronic device according to one embodiment displaying a GUI on an area where an object identified on a second image is located through a display.

[0148] Referring to identification number 430 of FIG. 4, the electronic device (101) can acquire a second image (e.g., 520 of FIG. 5) through a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). According to one embodiment, the electronic device (101) can display the acquired second image (520) through the display (160).

[0149] According to one embodiment, the electronic device (101) can identify an object (e.g., 525 of FIG. 5, 1011, 1013, 1015 of FIG. 10) corresponding to a first object (e.g., 515 of FIG. 5) within a second image (520). According to one embodiment, the electronic device (101) can display a GUI (1031, 1033, 1035) on an area where the identified object (1011, 1013, 1015) is located on the second image (e.g., 520 of FIG. 5). In one embodiment, the electronic device (101) may display GUIs (1031, 1033, 1035) indicating that an object has been identified on at least a portion of an area where the identified objects (1011, 1013, 1015) are located on the second image (520) displayed on the display (160). In one embodiment, when a plurality of objects (1011, 1013, 1015) are identified on the second image (e.g., 520 of FIG. 5), the electronic device (101) may display GUIs (1031, 1033, 1035) indicating that an object has been identified on an area where the identified plurality of objects (1011, 1013, 1015) are located. Referring to FIG. 10, for example, the electronic device (101) may display a square-shaped GUI (1031, 1033, 1035) on an area where an identified object (1011, 1013, 1015) is located on a second image (520) displayed on the display (160). For example, the electronic device (101) may display information (1051, 1053, 1055) about the identified object (1011, 1013, 1015) together with the second image (520).For example, information (1051, 1053, 1055) about an identified object (1011, 1013, 1015) may include a name of the identified object (1011, 1013, 1015), an image of at least a portion of a second image (520) including the identified object (1011, 1013, 1015), a preset value stored in response to the identified object (1011, 1013, 1015), or preference information about the identified object (1011, 1013, 1015). For example, the electronic device (101) may display the names of the identified objects, 'Person 1 (1051), 'Car 1 (1053),' and 'Car 2 (1055), together with the second image (520) through the display (160).

[0150] FIG. 11 is a flowchart illustrating a process of obtaining a third image by using setting values ​​stored in association with information about an object selected by a user's input when an electronic device according to one embodiment identifies multiple objects in a second image.

[0151] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0152] According to one embodiment, identification numbers 1110 to 1160 may be understood to be performed in a processor (e.g., processor (120) of FIG. 1 and / or processor (340) of FIG. 3) of an electronic device (e.g., electronic device (101) of FIG. 1 and / or FIG. 3).

[0153] Referring to identification number 430 of FIG. 4, the electronic device (101) can acquire a second image (e.g., 520 of FIG. 5) through a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). At identification number 1110, the electronic device (101) can display the acquired second image (e.g., 520 of FIG. 5) through the display (160). Since the description of the operation of identification number 1110 corresponds to the description of identification number 910 of FIG. 9, it will be omitted here for convenience.

[0154] At identification number 1120, the electronic device (101) can identify an object (e.g., 525 of FIG. 5) corresponding to a first object (e.g., 515 of FIG. 5) and an object corresponding to a second object within a second image (e.g., 520 of FIG. 5).

[0155] In one embodiment, the electronic device (101) can identify a plurality of objects within a second image (e.g., 520 of FIG. 5). In one embodiment, the electronic device (101) can identify objects corresponding to a plurality of previously stored objects within the second image (e.g., 520 of FIG. 5). Descriptions other than those for identification number 1120 correspond to the description for identification number 440 of FIG. 4, and are therefore omitted herein for convenience.

[0156] At identification number 1130, the electronic device (101) can display a plurality of GUIs on an area where identified objects are located on a second image (e.g., 520 of FIG. 5).

[0157] In one embodiment, when a plurality of objects (e.g., 525 of FIG. 5) are identified on a second image (e.g., 520 of FIG. 5), the electronic device (101) may display GUIs indicating that the objects have been identified on an area where the identified plurality of objects (e.g., 525 of FIG. 5) are located. For example, the electronic device (101) may display a GUI indicating that each object has been identified correspondingly on an area where each of the identified objects (e.g., 525 of FIG. 5) is located. For example, when an object corresponding to a first object and an object corresponding to a second object are identified on a second image (e.g., 520 of FIG. 5), the electronic device (101) may display a GUI indicating that the first object is located on an area where the object corresponding to the first object is located, and may display a GUI indicating that the second object is located on an area where the object corresponding to the second object is located. Any further description of identification number 1130 corresponds to the description of identification number 930 in Fig. 9, and is therefore omitted here for convenience.

[0158] At identification number 1140, the electronic device (101) can determine whether a user input for at least one GUI has been received.

[0159] For example, the electronic device (101) can identify a GUI that has received a user input among a plurality of GUIs displayed on an area on the display (160) where each identified object (e.g., 525 of FIG. 5) is located. For example, when a user's touch input is detected on the display (160), the electronic device (101) can identify a location of an area on the display (160) where the user's touch input has been received within an area where a plurality of GUIs are displayed, and determine that the user's input has been received for a GUI corresponding to the location where the user's touch input has been received. Descriptions other than those for identification number 1140 correspond to the description for identification number 940 of FIG. 9, and therefore are omitted here for convenience.

[0160] In the identification number 1150, the electronic device (101) may select an object corresponding to the received user input from among the identified plurality of objects. For example, the electronic device (101) may identify a GUI for which a user input has been received from among the plurality of GUIs displayed on the area where each identified object (e.g., 525 of FIG. 5) is located, and select an object corresponding to the identified GUI. For example, when an object corresponding to a first object and an object corresponding to a second object are identified on a second image (e.g., 520 of FIG. 5), the electronic device (101) may display a GUI indicating that the first object is located on the area where the object corresponding to the first object is located, and may display a GUI indicating that the second object is located on the area where the object corresponding to the second object is located. In this case, for example, when a user input for a GUI indicating that the second object is located is received, the electronic device (101) may select the second object from among the identified plurality of objects.

[0161] At identification number 1160, the electronic device (101) can acquire a third image (530) through a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) using the setting values ​​stored in association with information about the selected object.

[0162] In one embodiment, when the electronic device (101) determines that a user's touch input has been received for an area where a predetermined GUI is displayed among a plurality of GUIs displayed on an area where each identified object (e.g., 525 of FIG. 5) is located, the electronic device (101) may determine that the GUI displayed in the area where the touch input was received has been selected by the user. In this case, the electronic device (101) may obtain a third image (e.g., 530 of FIG. 5) through a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) using a pre-stored setting value for an object (e.g., 1111 of FIG. 12) corresponding to the GUI selected by the user.

[0163] For example, when an object corresponding to a first object and an object corresponding to a second object are identified on a second image (e.g., 520 of FIG. 5), the electronic device (101) may display a GUI indicating that the first object is located on an area where the object corresponding to the first object is located, and may display a GUI indicating that the second object is located on an area where the object corresponding to the second object is located. For example, when a user input for the second object is received, the electronic device (101) may select the second object from among a plurality of identified objects, and may acquire a third image (e.g., 530 of FIG. 5) through a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) using a setting value previously stored for the second object. In this case, when a user input for a GUI indicating, for example, a second object is received, the electronic device (101) may select the second object from among the identified plurality of objects, and, using a preset value stored for the second object, obtain a third image (e.g., 530 of FIG. 5) through a camera (e.g., camera module (180) of FIGS. 1 and 2, camera module (320) of FIG. 3).

[0164] FIG. 12 is a diagram illustrating an example of obtaining a third image by using setting values ​​stored in association with information about an object selected by a user's input when an electronic device according to one embodiment identifies multiple objects in a second image.

[0165] According to one embodiment, the electronic device (101) can acquire a second image (520) through a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3). The electronic device (101) can display the acquired second image (520) through a display (160).

[0166] According to one embodiment, the electronic device (101) can identify an object (e.g., 525 of FIG. 5, 1011, 1013, 1015 of FIG. 10, 1111, 1113, 1115 of FIG. 12) corresponding to the first object (e.g., 515 of FIG. 5) within the second image (520).

[0167] Referring to FIG. 12, for example, the electronic device (101) can identify an object (1111) corresponding to a first person object, an object (1113) corresponding to a first car object, and an object (1115) corresponding to a second car object within a second image (520).

[0168] According to one embodiment, the electronic device (101) may display a plurality of GUIs (e.g., 1031, 1033, 1035 of FIG. 10, 1131 of FIG. 11) on an area where an identified object (1111, 1113, 1115) is located on the second image (520).

[0169] Referring to FIGS. 11 and 12, for example, the electronic device (101) can display a plurality of GUIs (e.g., 1031, 1033, 1035 of FIG. 10, 1131 of FIG. 12) on an area where an object (1111) corresponding to a first person object, an object (1113) corresponding to a first car object, and an object (1115) corresponding to a second car object are located on a second image (520).

[0170] According to one embodiment, the electronic device (101) can determine whether a user input has been received for at least one GUI.

[0171] Referring to FIGS. 11 and 12, for example, the electronic device (101) can detect a user input for an area on the display (160) where a GUI (1131) for an object (1111) corresponding to a first person object is displayed on the second image (520). For example, the electronic device (101) can detect a user input for an area on the display (160) where information (1151) for an object (1111) corresponding to the first person object is displayed. In this case, the electronic device (101) can determine that a user input for an object (1111) corresponding to the first person object has been received.

[0172] According to one embodiment, the electronic device (101) can select an object corresponding to the received user input from among a plurality of identified objects.

[0173] Referring to FIGS. 11 and 12, for example, the electronic device (101) may determine that a user input has been received for an object (1111) corresponding to a first person object. In this case, the electronic device (101) may select an object (1111) corresponding to the first person object from among a plurality of identified objects (1111, 1113, 1115).

[0174] According to one embodiment, the electronic device (101) can acquire a third image (530) through a camera (e.g., the camera module (180) of FIGS. 1 and 2, the camera module (320) of FIG. 3) using setting values ​​stored in association with information about the selected object.

[0175] Referring to FIGS. 11 and 12, for example, the electronic device (101) may select an object (1111) corresponding to a first person object from among a plurality of identified objects (1111, 1113, 1115), and may acquire a third image (530) through a camera (e.g., camera module (180) of FIGS. 1 and 2, camera module (320) of FIG. 3) by using setting values ​​stored in association with information about the first person object. For example, in connection with information about a first person object, if a setting value for focusing a camera (e.g., a camera module (180) of FIGS. 1 and 2, a camera module (320) of FIG. 3) on an area where an object (1111) corresponding to the first person object is located is stored, the electronic device (101) can acquire a third image (530) by focusing the camera (e.g., a camera module (180) of FIGS. 1 and 2, a camera module (320) of FIG. 3) on an area where an object (1111) corresponding to the first person object is located.

[0176] FIG. 13 is a flowchart illustrating a process of storing setting values ​​related to an operation for acquiring a third image (e.g., 530 of FIG. 5) in association with information about a first object (e.g., 515 of FIG. 5) as an electronic device acquires a third image according to one embodiment.

[0177] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0178] According to one embodiment, the identification number 1310 may be understood to be performed by a processor (e.g., processor (120) of FIG. 1 and / or processor (340) of FIG. 3) of an electronic device (e.g., electronic device (101) of FIG. 1 and / or FIG. 3).

[0179] Referring to the identification number 450 of FIG. 4, the electronic device (101) can acquire a third image (e.g., 530 of FIG. 5 and FIG. 12) through a camera (e.g., the camera module (180) of FIG. 1 and FIG. 2, the camera module (320) of FIG. 3) using a pre-stored setting value for an identified object (e.g., 1111 of FIG. 12). According to one embodiment, when the electronic device (101) acquires the third image (e.g., 530 of FIG. 5 and FIG. 12), it can determine whether there is a setting value additionally set by a user input in addition to the pre-stored setting value.

[0180] In the identification number 1310, the electronic device (101) can store setting values ​​related to an operation for acquiring a third image (e.g., 530 of FIGS. 5 and 12) in association with information about the first object (e.g., 515 of FIG. 5). The setting values ​​related to the operation for acquiring the third image (e.g., 530 of FIGS. 5 and 12) may include setting values ​​that are identical to previously stored setting values, or may include setting values ​​set by a user's input when acquiring the third image (e.g., 530 of FIGS. 5 and 12). By storing the setting values ​​related to the operation for acquiring the third image (e.g., 530 of FIG. 5 and FIG. 12) in association with the information about the first object (e.g., 515 of FIG. 5), the electronic device (101) can update the information about the first object (e.g., 515 of FIG. 5) and update the user's preference information to be considered when acquiring an image including the first object (e.g., 515 of FIG. 5).

[0181] An electronic device according to the present disclosure may include at least one camera, may include at least one processor including processing circuitry, and may include a memory storing instructions. The instructions may be individually or collectively executed by the at least one processor to cause the electronic device to identify a first object in a first image, store a setting value related to an operation for acquiring the first image in association with information about the first object, acquire a second image (e.g., 520 of FIG. 5) through the camera, identify an object corresponding to the first object in the second image (e.g., 520 of FIG. 5), and acquire a third image through the camera using the setting value based on the object being identified in the second image (e.g., 520 of FIG. 5).

[0182] The above commands may be individually or jointly executed by the one or more processors to cause the electronic device to display the second image (e.g., 520 of FIG. 5) through a display, display a GUI on an area where the identified object is located on the displayed second image (e.g., 520 of FIG. 5), receive a user input for the GUI, and obtain the third image using the setting value stored in association with information about the first object based on the received user input.

[0183] The above commands may be individually or jointly executed by the one or more processors to cause the electronic device to display information related to the set value stored in association with information about the identified object on the displayed second image (e.g., 520 of FIG. 5).

[0184] The instructions may be individually or jointly executed by the one or more processors to cause the electronic device to identify a second object within at least one of the fourth images, store a setting value related to an operation for obtaining the fourth image in association with information about the second object, obtain a second image (e.g., 520 of FIG. 5) through the camera, identify an object corresponding to the first object and an object corresponding to the second object within the second image (e.g., 520 of FIG. 5), and, based on the object corresponding to the first object and the object corresponding to the second object being identified within the second image (e.g., 520 of FIG. 5), use the setting value stored in association with information about at least one of the first object or the second object to obtain a third image through the camera.

[0185] The information about the first object may include three-dimensional modeling data about the object. The commands may be individually or jointly executed by the one or more processors to cause the electronic device to compare the three-dimensional modeling data with feature information extracted from the second image (e.g., 520 of FIG. 5) to identify an object corresponding to the first object within the second image (e.g., 520 of FIG. 5).

[0186] The first object may include at least one of a person, an object, or a background.

[0187] The above commands may be individually or jointly executed by the one or more processors to cause the electronic device to classify the information about the stored first object and the setting values ​​stored in association with the information about the first object according to the type of each of the first objects.

[0188] The above instructions may be individually or jointly executed by the one or more processors to cause the electronic device to classify the information about the stored first object and the stored setting value in association with the information about the first object according to the type of each of the first objects while the electronic device is not being used by a user.

[0189] The above instructions may be individually or jointly executed by the one or more processors to cause the electronic device to classify the information about the stored first object and the stored setting value in association with the information about the first object according to the type of each of the first objects whenever the electronic device stores the third image through the camera.

[0190] The above commands may be individually or jointly executed by the one or more processors to cause the electronic device to classify the information about the stored first object and the stored setting value in association with the information about the first object according to the type of each of the first objects periodically at predetermined time intervals.

[0191] The above commands may be individually or jointly executed by the one or more processors to cause the electronic device to select at least one object from among the plurality of objects based on preference information about the first object and the second object, as an object corresponding to the first object and an object corresponding to the second object are identified in the second image (e.g., 520 of FIG. 5), and to acquire a third image through the camera using a setting value stored in association with information about the at least one selected object.

[0192] The above preference information may be determined based on at least one of the number of times each of the first objects is identified within the first image or the area each of the first objects occupies within the first image.

[0193] The instructions may be individually or jointly executed by the one or more processors to cause the electronic device to identify a plurality of objects within the plurality of first images, identify the identified plurality of objects as corresponding to a third object, store the plurality of setting values ​​applied to the plurality of first images including the plurality of identified objects in association with information about the third object, determine a ratio at which the plurality of setting values ​​stored in association with information about the third object are applied to the plurality of first images including the third object, and store a setting value having a highest determined ratio among the plurality of setting values ​​stored in association with information about the third object in association with information about the third object.

[0194] The above commands may be individually or jointly executed by the one or more processors to cause the electronic device to store setting values ​​related to the operation for obtaining the third image in association with information about the first object.

[0195] A method of operating an electronic device (101) according to the present disclosure may include an operation of identifying a first object within a first image, an operation of storing a setting value related to an operation of obtaining the first image in association with information about the first object, an operation of obtaining a second image (e.g., 520 of FIG. 5) through a camera, an operation of identifying an object corresponding to the first object within the second image (e.g., 520 of FIG. 5), and an operation of obtaining a third image through the camera using the setting value based on the object being identified within the second image (e.g., 520 of FIG. 5).

[0196] A method of operating an electronic device (101) according to the present disclosure may include an operation of displaying the second image (e.g., 520 of FIG. 5) through a display, an operation of displaying a GUI on an area where the identified object is located on the displayed second image (e.g., 520 of FIG. 5), an operation of receiving a user's input for the GUI, and an operation of obtaining the third image using the setting value stored in association with information about the first object based on the received user's input.

[0197] The method may include an operation of displaying information related to the set value stored in association with information about the identified object on the second image displayed above (e.g., 520 of FIG. 5).

[0198] The method may include an operation of identifying a second object within at least one of the fourth images, an operation of storing a setting value related to an operation of obtaining the fourth image in association with information about the second object, an operation of obtaining a second image (e.g., 520 of FIG. 5) through the camera, an operation of identifying an object corresponding to the first object and an object corresponding to the second object within the second image (e.g., 520 of FIG. 5), and an operation of obtaining a third image through the camera using a setting value stored in association with information about at least one of the first object or the second object based on the object corresponding to the first object and the object corresponding to the second object being identified within the second image (e.g., 520 of FIG. 5).

[0199] The method may further include an operation of classifying the information about the stored first object and the setting value stored in association with the information about the first object according to the type of each first object.

[0200] The method may include an operation of identifying a plurality of objects within a plurality of first images, an operation of identifying the identified plurality of objects as corresponding to a third object, an operation of storing the plurality of setting values ​​applied to the plurality of first images including the identified plurality of objects in association with information about the third object, and an operation of determining a ratio at which the plurality of setting values ​​stored in association with information about the third object are applied to the plurality of first images including the third object.

[0201] The method may include an operation of storing, in association with the information about the third object, a setting value having the highest determined ratio among the plurality of setting values ​​stored in association with the information about the third object.

[0202] The methods according to the embodiments described in the claims or specification of the present disclosure may be implemented in the form of hardware, software, or a combination of hardware and software.

[0203] When implemented in software, a computer-readable storage medium storing one or more programs (software modules) may be provided. The one or more programs stored in the computer-readable storage medium are configured for execution by one or more processors within an electronic device. The one or more programs include instructions that cause the electronic device to execute methods according to embodiments described in the claims or specification of the present disclosure.

[0204] In the present disclosure, a function or operation performed by an electronic device may be performed by one or more processors executing one or more instructions stored in a memory. The function or operation of the electronic device mentioned in the present disclosure may be performed by one processor executing one or more instructions, or may be performed by a combination of multiple processors executing one or more instructions. The processor mentioned in the present disclosure may be understood to include a circuit for performing an operation or controlling other components of the electronic device. For example, the one or more processors may include at least one of a central processing unit (CPU), a microprocessor unit (MPU), an application processor (AP), a communication processor (CP), a neural processing unit (NPU), a system on chip (SoC), an application-specific integrated circuit (ASIC), or an integrated circuit (IC) configured to execute one or more instructions. The one or more processors may be configured to perform the operations of the electronic device described above.

[0205] In the present disclosure, a program (software module, software) may be stored in a non-volatile memory including a random access memory (RAM), a flash memory, a read only memory (ROM), an electrically erasable programmable read only memory (EEPROM), a magnetic disc storage device, a compact disc ROM (CD-ROM), digital versatile discs (DVDs) or other forms of optical storage devices, a magnetic cassette. Or, it may be stored in a memory formed by a combination of some or all of these. The memory may be formed by a single storage medium, or may be formed by a combination of a plurality of storage media. The one or more commands may be stored in a single storage medium, or may be distributed and stored in a plurality of storage media.

[0206] Additionally, the program may be stored on an attachable storage device that is accessible via a communication network such as the Internet, an intranet, a local area network (LAN), a wide LAN (WLAN), or a storage area network (SAN), or a combination thereof. Such a storage device may be connected to a device performing an embodiment of the present disclosure via an external port. Additionally, a separate storage device on the communication network may be connected to a device performing an embodiment of the present disclosure.

[0207] In the specific embodiments of the present disclosure described above, components included in the disclosure are expressed in the singular or plural form, depending on the specific embodiment presented. However, the singular or plural expressions are selected to suit the presented situation for convenience of explanation, and the present disclosure is not limited to singular or plural components. Components expressed in the plural form may be composed of singular elements, or components expressed in the singular form may be composed of plural elements.

[0208] Additionally, in the present disclosure, terms such as “part”, “module”, etc. may refer to a hardware component such as a processor or circuit, and / or a software component executed by a hardware component such as a processor.

[0209] A "component" or "module" may be implemented by a program stored in an addressable storage medium and executed by a processor. For example, a "component" or "module" may be implemented by components such as software components, object-oriented software components, class components, and task components, as well as processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables.

[0210] The specific implementations described in this disclosure are merely exemplary and do not limit the scope of the present disclosure in any way. For the sake of brevity, descriptions of conventional electronic components, control systems, software, and other functional aspects of the systems may be omitted.

[0211] Additionally, in the present disclosure, “comprising at least one of a, b, or c” may mean “comprising only a, including only b, including only c, or including a combination of two or more (including a and b, including b and c, including a and c, or including all of a, b, and c).

[0212] While the detailed description of this disclosure has described specific embodiments, it should be understood that various modifications are possible without departing from the scope of this disclosure. Therefore, the scope of this disclosure should not be limited to the described embodiments, but should be defined not only by the scope of the claims described below, but also by equivalents thereof.

Claims

1. In electronic devices, At least one camera; At least one processor comprising processing circuitry; and Contains memory for storing commands, The above instructions are individually or collectively executed by the at least one processor, so that the electronic device: Identify a first object within a first image; Store the setting values ​​related to the operation for obtaining the first image in association with information about the first object; Acquire a second image (e.g., 520 in FIG. 5) through the above camera; Identifying an object corresponding to the first object within the second image (e.g., 520 of FIG. 5); and Based on the object being identified in the second image (e.g., 520 in FIG. 5), a third image is acquired through the camera using the setting value. Electronic devices.

2. In claim 1, The above instructions are individually or jointly executed by the one or more processors so that the electronic device: Displaying the second image (e.g., 520 in FIG. 5) through a display; On the second image (e.g., 520 of FIG. 5) displayed above, display a GUI on the area where the identified object is located; Receiving user input for the above GUI; and Based on the user input received above, the third image is acquired using the setting value stored in association with the information about the first object. Electronic devices.

3. In claim 2, The above commands are individually or jointly executed by the one or more processors to cause the electronic device to display information related to the set value stored in association with information about the identified object on the displayed second image (e.g., 520 of FIG. 5). Electronic devices.

4. In claim 1, The above instructions are individually or jointly executed by the one or more processors so that the electronic device: Identifying a second object within at least one fourth image; Store the setting values ​​related to the operation for obtaining the fourth image in association with the information about the second object; Acquire the second image (e.g., 520 in FIG. 5) through the camera; Identifying an object corresponding to the first object and an object corresponding to the second object within the second image (e.g., 520 of FIG. 5); and Based on the identification of the object corresponding to the first object and the object corresponding to the second object in the second image (e.g., 520 of FIG. 5), a third image is acquired through the camera using a setting value stored in association with information about at least one of the first object or the second object. Electronic devices.

5. In claim 1, The information about the first object includes three-dimensional modeling data about the object, The above commands are individually or jointly executed by the one or more processors to cause the electronic device to compare the feature information extracted from the three-dimensional modeling data and the second image (e.g., 520 of FIG. 5) to identify an object corresponding to the first object within the second image (e.g., 520 of FIG. 5). Electronic devices.

6. In claim 1, The first object includes at least one of a person, an object, or a background. Electronic devices.

7. In claim 1, The above instructions are individually or jointly executed by the one or more processors to cause the electronic device to classify the information about the stored first object and the stored setting value in association with the information about the first object according to the type of each of the first objects. Electronic devices.

8. In claim 7, The instructions are executed individually or jointly by the one or more processors to cause the electronic device to classify the information about the stored first object and the stored setting value in association with the information about the first object according to the type of each of the first objects while the electronic device is not being used by a user. Electronic devices.

9. In claim 7, The instructions are individually or jointly executed by the one or more processors to cause the electronic device to classify the information about the stored first object and the stored setting value in association with the information about the first object according to the type of each of the first objects whenever the electronic device stores the first image. Electronic devices.

10. In claim 7, The above instructions are executed individually or jointly by the one or more processors to cause the electronic device to classify the information about the stored first object and the setting value stored in association with the information about the first object according to the type of each of the first objects periodically at predetermined time intervals. Electronic devices.

11. In claim 4, The above instructions are individually or jointly executed by the one or more processors so that the electronic device: As an object corresponding to the first object and an object corresponding to the second object are identified in the second image (e.g., 520 of FIG. 5), at least one object is selected from among the first object and the second object based on preference information about the first object and the second object; and By using the stored setting values ​​associated with the information about at least one object selected above, a third image is acquired through the camera. Electronic devices.

12. In claim 11, The above preference information is determined based on at least one of the number of times each of the first objects is identified within the first image or the area each of the first objects occupies within the first image. Electronic devices.

13. In claim 1, The above instructions are individually or jointly executed by the one or more processors so that the electronic device: Identifying a plurality of objects within a plurality of said first images; Identifying the above identified plurality of objects as corresponding to a third object; Store the plurality of setting values ​​applied to the plurality of first images including the plurality of identified objects in association with information about the third object; The plurality of setting values ​​stored in association with information about the third object determine a ratio applied to the plurality of first images including the third object; and Among the plurality of setting values ​​stored in association with information about the third object, the setting value having the highest determined ratio is stored in association with information about the third object. Electronic devices.

14. In claim 1, The above commands are individually or jointly executed by the one or more processors to cause the electronic device to store setting values ​​related to the operation for obtaining the third image in association with information about the first object. Electronic devices.

15. In the method of operating an electronic device, An action to identify a first object within a first image; An operation of storing setting values ​​related to an operation for obtaining the first image in association with information about the first object; An action of acquiring a second image (e.g., 520 in FIG. 5) through a camera; An operation of identifying an object corresponding to the first object within the second image (e.g., 520 of FIG. 5); and An operation of acquiring a third image through the camera using the setting value based on the object being identified in the second image (e.g., 520 of FIG. 5), method.

Images