Method for providing image, and electronic device for supporting same

Abstract

An electronic device according to one embodiment may comprise a memory and at least one processor. The at least one processor can be configured to: acquire a first image; select, on the basis of a generation time of a first image and / or a generation location of the first image, included in metadata of the first image, one or more second images from among a plurality of images stored in the memory; acquire a third image by changing the value of at least one attribute from among values of a plurality of attribute values of the first image on the basis of a user input; and acquire one or more fourth images by changing values of a plurality of attributes of each of the one or more second images on the basis of the values of the plurality of attributes of the third image.

Description

Method for providing images and electronic devices supporting the same

[0001] The present disclosure relates to a method for providing an image and an electronic device supporting the same.

[0002] Electronic devices, such as smartphones, provide image editing capabilities. For example, the electronic device can acquire an image through a camera or from memory (or an external electronic device). The electronic device can edit (e.g., correct) the acquired image by changing the properties of the acquired image based on user input using an image editing program. For example, the electronic device can provide a filter function that can change the properties of an image (e.g., an original image). While displaying an image, the electronic device can display thumbnail images representing a plurality of filters that can change the properties of the image (e.g., can provide a filter function). When a thumbnail image is selected from among the thumbnail images based on user input, the electronic device can edit the image by applying a filter corresponding to the selected thumbnail image to the displayed image.

[0003] The above information may be provided as background art 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 related to the present disclosure.

[0004] An electronic device performs an editing operation on each of the multiple images in order to edit the multiple images. For example, in order to edit image 1 and image 2, the electronic device individually performs an editing operation on image 1 and an editing operation on image 2.

[0005] If a user has a preferred image, the user may want to apply the properties of that image to other images (e.g., multiple images similar to that image) simultaneously. Alternatively, the user may want to apply the properties of the corrected image to other images simultaneously after correcting one image. Accordingly, the electronic device may need to provide a function that allows the properties of the user's preferred image or the properties of an image corrected by the user to be applied to other images simultaneously.

[0006] The present disclosure relates to a method for providing an image and an electronic device supporting the same, which can apply properties of an image (e.g., an image selected by a user input) to other images at once.

[0007] The technical problems to be solved by the present disclosure are not limited to the technical problems mentioned above, and other technical problems not mentioned can be clearly understood by a person having ordinary skill in the technical field related to this document from the description below.

[0008] In one embodiment, an electronic device may include a memory and at least one processor. The at least one processor may be configured to acquire a first image. The at least one processor may be configured to select one or more second images from among a plurality of images stored in the memory based on at least one of a generation time of the first image or a generation location of the first image included in metadata of the first image. The at least one processor may be configured to acquire a third image by changing a value of at least one attribute from among values ​​of a plurality of attributes of the first image based on a user input. The at least one processor may be configured to acquire one or more fourth images by changing values ​​of a plurality of attributes of each of the one or more second images based on the values ​​of the plurality of attributes of the third image.

[0009] In one embodiment, a method for providing an image in an electronic device may include an operation of obtaining a first image. The method may include an operation of selecting one or more second images from among a plurality of images stored in a memory of the electronic device based on at least one of a creation time of the first image or a creation location of the first image included in metadata of the first image. The method may include an operation of obtaining a third image by changing a value of at least one attribute from among values ​​of a plurality of attributes of the first image based on a user input. The method may include an operation of obtaining one or more fourth images by changing values ​​of a plurality of attributes of each of the one or more second images based on the values ​​of the plurality of attributes of the third image.

[0010] In one embodiment, an electronic device may include a camera, a display, a memory, and at least one processor. The at least one processor may be configured to determine, based on a first image acquired through the camera, whether a condition for storing a second image acquired through the camera in a raw file format is satisfied. The at least one processor may be configured to display, through a display, guide information for storing the second image in the raw file format when acquiring the second image based on determining that the condition is satisfied. The at least one processor may be configured to store the second image in the raw file format in the memory based on acquiring the second image through the camera after displaying the guide information.

[0011] In one embodiment, a non-transitory computer-readable medium having recorded thereon computer-executable instructions, which when executed by at least one processor, may cause an electronic device to acquire a first image. The computer-executable instructions, when executed by the at least one processor, may cause the electronic device to select one or more second images from among a plurality of images stored in the memory based on at least one of a creation time of the first image or a creation location of the first image included in metadata of the first image. The computer-executable instructions, when executed by the at least one processor, may cause the electronic device to acquire a third image by changing a value of at least one attribute from among values ​​of a plurality of attributes of the first image based on a user input. The computer-executable instructions, when executed by the at least one processor, may cause the electronic device to acquire one or more fourth images by changing values ​​of a plurality of attributes of each of the one or more second images based on the values ​​of the plurality of attributes of the third image.

[0012] FIG. 1 is a block diagram of an electronic device within a network environment, according to one embodiment.

[0013] FIG. 2 is a block diagram of an electronic device according to one embodiment.

[0014] FIG. 3 is a flowchart illustrating a method for providing an image according to one embodiment.

[0015] FIGS. 4A and 4B are drawings illustrating a method of providing an image according to one embodiment.

[0016] FIGS. 5A and 5B are drawings illustrating a method of providing an image according to one embodiment.

[0017] FIG. 6 is a flowchart illustrating a method for providing an image according to one embodiment.

[0018] FIG. 7 is a diagram illustrating a method for providing an image according to one embodiment.

[0019] FIG. 8 is a flowchart illustrating a method for providing an image according to one embodiment.

[0020] FIG. 9 is a diagram illustrating a method for providing an image according to one embodiment.

[0021] FIG. 10 is a flowchart illustrating a method for providing an image according to one embodiment.

[0022] FIG. 11 is a diagram illustrating a method for providing an image according to one embodiment.

[0023] FIG. 12 is a diagram illustrating a method of storing an image according to one embodiment.

[0024] FIG. 13 is a flowchart illustrating a method for providing an image according to one embodiment.

[0025] FIG. 14 is a drawing for explaining a method of correcting an image stored in a raw file format according to one embodiment.

[0026] FIGS. 15A and 15B are drawings for explaining a method of correcting an image stored in a raw file format according to one embodiment.

[0027] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings so that those skilled in the art can easily implement the present disclosure. However, the present disclosure may be implemented in various different forms and is not limited to the embodiments described herein. In connection with the description of the drawings, the same or similar reference numerals may be used for identical or similar components. Furthermore, in the drawings and related descriptions, descriptions of well-known functions and configurations may be omitted for clarity and conciseness.

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

[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). According to 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 calculations. According to one embodiment, as at least a part of the data processing or calculations, 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 a secondary 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 therewith. For example, if the electronic device (101) includes a main processor (121) and a secondary processor (123), the secondary processor (123) may be configured to use less power than the main processor (121) or to be specialized for a specified function. The secondary 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 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).

[0033] 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).

[0034] 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).

[0035] 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.

[0036] 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. In 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.

[0037] 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).

[0038] 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.

[0039] 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.

[0040] 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).

[0041] A 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. In one embodiment, the haptic module (179) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0042] 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.

[0043] 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, for example, as at least a part of a power management integrated circuit (PMIC).

[0044] 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.

[0045] 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).

[0046] 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.

[0047] The antenna module (197) can transmit or receive signals or power to or from an external device (e.g., an external electronic device). In one embodiment, the antenna module (197) may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). In one embodiment, the antenna module (197) may include a plurality of antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network, such as the first network (198) or the second network (199), may be selected from the plurality of antennas by, for example, the communication module (190). A signal or power may be transmitted or received between the communication module (190) and an external electronic device through the selected at least one 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).

[0048] According to various embodiments, the antenna module (197) may form a mmWave antenna module. According to 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.

[0049] 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)).

[0050] 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.

[0051] An electronic device according to an embodiment disclosed in this document may take various forms. The electronic device may include, for example, a portable communication device (e.g., a smartphone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance. The electronic device according to an embodiment of this document is not limited to the aforementioned devices.

[0052] It should be understood that the embodiments of this document and the terminology used herein are not intended to limit the technical features described in this document to specific embodiments, but 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.

[0053] The term "module" used in one embodiment 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).

[0054] An embodiment 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.

[0055] According to one embodiment, the method according to one embodiment disclosed in the present 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.

[0056] According to one embodiment, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to one embodiment, 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 one embodiment, 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.

[0057] FIG. 2 is a block diagram of an electronic device (201) according to one embodiment.

[0058] Referring to FIG. 2, in one embodiment, the electronic device (201) may be the electronic device (101) of FIG. 1.

[0059] In one embodiment, the electronic device (201) may include a display (210), a camera (220), memory (230), and / or a processor (240).

[0060] In one embodiment, the display (210) may be included in the display module (160) of FIG. 1.

[0061] In one embodiment, the display (210) may display a screen including an image (e.g., a still image and / or a moving image). For example, the display (210) may display an execution screen of a camera application (e.g., a screen including a preview image acquired through the camera (220)) based on the execution of a camera application. For example, the display (210) may display an execution screen of an image application (e.g., a gallery application) or an application for image editing (e.g., a photo editor) based on the execution of an image application.

[0062] In one embodiment, the camera (220) may be included in the camera module (180) of FIG. 1.

[0063] In one embodiment, the camera (220) can acquire an image (e.g., a still image or a video) based on values ​​set for image acquisition (e.g., image capture) (hereinafter, also referred to as “camera setting values”).

[0064] In one embodiment, camera settings may include exposure value (EV), shutter speed, International Organization for Standardization (ISO) value (also referred to as “ISO sensitivity”), white balance (WB) (also referred to as “color temperature”), and / or focus information.

[0065] In one embodiment, camera settings can be set (or adjusted) based on user input. For example, camera settings can be set by default. Camera settings set by default can be adjusted based on user input.

[0066] In one embodiment, camera settings may be set (or adjusted) based on an image acquired through the camera (220). For example, at least a portion of the camera settings (e.g., ISO value, shutter speed) may be set (or adjusted) based on a shooting environment (e.g., ambient brightness of the camera (220), amount of light sensed by the camera (220)) analyzed based on a preview image acquired through the camera (220).

[0067] In one embodiment, the memory (230) may be included in the memory (130) of FIG. 1.

[0068] In one embodiment, the memory (230) can store images. For example, the memory (230) can store images acquired through the camera (220). For example, if the image stored in the memory (230) has been corrected, the memory (230) can store the corrected image. For example, the memory (230) can store images received from an external electronic device (e.g., electronic device (102), electronic device (104)) through a communication circuit (e.g., communication module (190) of FIG. 1).

[0069] In one embodiment, the memory (230) may store information for performing an operation of providing an image. The information stored by the memory (230) for performing an operation of providing an image will be described in detail below.

[0070] In one embodiment, the processor (240) may be included in the processor (120) of FIG. 1.

[0071] In one embodiment, the processor (240) may control the overall operation of providing an image. The processor (240) may include one or more processors for performing the operation of providing an image. The operation of providing an image performed by the processor (240) will be described in detail with reference to the drawings below, FIG. 3.

[0072] Although the electronic device (201) in FIG. 2 is exemplified as including a display (210), a camera (220), a memory (230), and / or a processor (240), it is not limited thereto. For example, the electronic device (201) may further include at least one component (e.g., a communication module (190)) among the components included in the electronic device (101) of FIG. 1.

[0073] FIG. 3 is a flowchart (300) for explaining a method of providing an image according to one embodiment.

[0074] Referring to FIG. 3, in operation 301, in one embodiment, the processor (240) may acquire a first image.

[0075] In one embodiment, the first image may be an image (hereinafter referred to as the "first image") that serves as a reference for correcting one or more images. For example, the first image may be an image having values ​​of attributes for correcting one or more images.

[0076] In one embodiment, the processor (240) may obtain a first image based on a user input for selecting a first image from among a plurality of images stored in the memory (230). For example, the processor (240) may display a plurality of images stored in the memory (230) through the display (210) based on executing an image application (e.g., a gallery application). The processor (240) may obtain the first image by selecting the first image from among the plurality of images based on the user input. However, the operation of obtaining the first image is not limited to the example described above. For example, the processor (240) may obtain an image (e.g., a captured image) through the camera (220). The processor (240) may obtain the first image by determining the image obtained through the camera (220) as the first image that serves as a reference for correcting one or more images.

[0077] In operation 303, in one embodiment, the processor (240) may select one or more second images from among a plurality of images stored in the memory (230) based on metadata of the first image.

[0078] In one embodiment, the one or more second images may be one or more images to be corrected based on the first image (hereinafter referred to as "one or more second images"). For example, the one or more second images may be one or more images to be corrected based on the first image (e.g., attribute values ​​of the first image).

[0079] In one embodiment, the metadata of an image (e.g., a first image) may include a unique identifier (ID) of the image, a title (or name) of the image, a creation time of the image, a creation location of the image, and / or information about editing (or correction) of the image (e.g., an identifier of a filter applied to the image, an attribute value of the filter). However, the information included in the metadata of the image is not limited to the examples described above.

[0080] In one embodiment, metadata of an image (e.g., a first image) may be combined with data of the image (image data) and created as a single file, or may be created as a separate file from the data of the image and stored in memory (230).

[0081] In one embodiment, the processor (240) may select one or more second images from among a plurality of images stored in the memory (230) based on a creation time of the first image and / or a creation location of the first image, which are included in the metadata of the first image.

[0082] In one embodiment, the creation time of the first image, included in the metadata of the first image, may include the date and time the first image was taken (e.g., 10:35 AM on February 14, 2024).

[0083] In one embodiment, the processor (240) may select one or more second images acquired (e.g., captured by the camera (220)) within a specified time range (hereinafter also referred to as “specified time range”) based on the creation time of the first image (e.g., creation date and creation time of the first image) included in the metadata of the first image, from among the plurality of images stored in the memory (230). For example, the processor (240) may check the creation times of each of the plurality of images included in the metadata of the plurality of images stored in the memory (230). The processor (240) may select, based on the respective generation times of the plurality of images, images generated (e.g., photographed) at a time within a time range from the generation time of the first image to a time before a time specified based on the generation time of the first image (e.g., about 5 minutes) and / or within a time range from the generation time of the first image to a time after a time specified based on the generation time of the first image, as one or more second images.

[0084] In one embodiment, the specified time range may be a default time range. In one embodiment, the processor (240) may specify a time range for selecting one or more second images based on a creation time of the first image included in the metadata of the first image, based on user input.

[0085] In one embodiment, the location of creation of the first image, included in the metadata of the first image, may include information about the location where the first image was captured. For example, the location of creation of the first image may include the latitude and longitude of the location where the first image was captured, the address of the location where the first image was captured, and / or the location of the location where the first image was captured.

[0086] In one embodiment, the processor (240) may select one or more second images (e.g., photographed through the camera (220)) acquired within a specified distance (e.g., radius) (hereinafter, also referred to as “specified distance”) based on the generation location of the first image included in the metadata of the first image, from among the plurality of images stored in the memory (230). For example, the processor (240) may identify the generation locations of each of the plurality of images included in the metadata of the plurality of images stored in the memory (230). Based on the generation locations of each of the plurality of images, the processor (240) may select, from among the plurality of images, images that were generated (e.g., photographed) at a location within the specified radius from the generation location of the first image as one or more second images.

[0087] In one embodiment, the specified distance may be a default distance. In one embodiment, the processor (240) may specify a distance for selecting one or more second images based on a creation location of the first image included in the metadata of the first image, based on a user input.

[0088] In one embodiment, the processor (240) may select, from among a plurality of images stored in the memory (230), one or more first images acquired (e.g., photographed) within a time range specified based on a generation location of the first image included in the metadata of the first image and acquired within a distance specified based on a generation location of the first image included in the metadata of the first image.

[0089] In the examples described above, one or more second images are selected from among a plurality of images stored in the memory (230) based on metadata of the first image (e.g., creation time and / or creation location of the first image), but this is not limited thereto.

[0090] In one embodiment, the processor (240) may select one or more second images from among a plurality of images stored in the memory (230) based on an object included in the first image. For example, the processor (240) may detect information about an object included in the first image (e.g., a type of object and / or a subject represented by the object) using an object detection algorithm or a designated artificial intelligence model. The processor (240) may select, from among a plurality of images stored in the memory (230), images that include an object corresponding to the same subject (e.g., a person, an animal, an object) as the object included in the first image (e.g., a subject represented by the object), as one or more second images.

[0091] In one embodiment, the processor (240) may select one or more second images from among a plurality of images stored in the memory (230) based on a creation time and / or a creation location of the first image included in the metadata of the first image and an object included in the first image.

[0092] In operation 305, in one embodiment, the processor (240) may obtain a third image by correcting the first image based on user input.

[0093] In one embodiment, the third image may be an image (hereinafter referred to as a "third image") obtained (e.g., generated) by changing at least one attribute value among the values ​​of a plurality of attributes of the first image. For example, the third image may be an image having a plurality of attribute values ​​in which at least some of the attribute values ​​of the first image are changed.

[0094] In one embodiment, the plurality of attributes of an image (e.g., a first image) may include exposure, brightness, contrast (also referred to as “contrast”), highlight, shadow, chroma, color temperature, tint, sharpness, and / or clarity. However, the plurality of attributes of the image are not limited to the examples described above.

[0095] In one embodiment, the values ​​of the plurality of attributes of the image (the first image) may be values ​​for representing (e.g., expressing) degrees (e.g., levels) of the plurality of attributes of the image.

[0096] In one embodiment, the processor (240) may display, through the display (210), an object (e.g., a graphic object) (or a user interface) for setting (e.g., adjusting) a plurality of attribute values ​​of the first image based on the acquisition of the first image. In one embodiment, the processor (240) may adjust the plurality of attribute values ​​of the first image based on a user input for the object for setting the plurality of attribute values ​​of the first image. For example, the processor (240) may adjust the plurality of attribute values ​​of the first image (e.g., intensities corresponding to the plurality of attribute values ​​of the first image) based on the user input for the object for setting the plurality of attribute values ​​of the first image. The processor (240) may acquire a third image by adjusting the plurality of attribute values ​​of the first image. However, the operation of obtaining a third image by changing at least one attribute value among a plurality of attribute values ​​of the first image is not limited to the examples described above. For example, the processor (240) may obtain the third image by applying a filter (e.g., a filter that can apply a specified visual effect or a specified style to the image) to the first image.

[0097] In FIG. 3, operation 303 is illustrated as being performed prior to operation 305, but is not limited thereto. For example, the processor (240) may perform operation 303 after performing operation 305.

[0098] In operation 307, in one embodiment, the processor (240) may obtain one or more fourth images by correcting one or more second images based on the third image.

[0099] In one embodiment, the processor (240) may obtain one or more fourth images by changing (e.g., adjusting) the values ​​of the plurality of attributes of each of one or more second images based on the values ​​of the plurality of attributes of the third image. For example, the processor (240) may change the plurality of attribute values ​​of the one or more second images to change the one or more second images into one or more fourth images having the same plurality of attribute values ​​as the values ​​of the plurality of attributes of the third image. However, the present invention is not limited thereto. For example, the processor (240) may change the plurality of attribute values ​​of the one or more second images to change the one or more second images into one or more fourth images having the same plurality of attribute values ​​as some of the values ​​of the plurality of attributes of the third image. For example, the processor (240) can change the plurality of attribute values ​​of one or more second images to one or more fourth images having attribute values ​​that are identical to the attribute values ​​adjusted based on user input among the values ​​of the plurality of attributes of the third image.

[0100] In one embodiment, the one or more fourth images may be images obtained (e.g., generated) by applying values ​​of a plurality of attributes of the third image to each of one or more second images (e.g., attributes of the one or more second images) (hereinafter referred to as “one or more fourth images”). For example, if the one or more second images include image 1 and image 2, the processor (240) may obtain image 3 by applying values ​​of a plurality of attributes of the third image to image 1, and may obtain image 4 by applying values ​​of a plurality of attributes of the third image to image 2. In this case, image 3 and image 4 may be included in the one or more fourth images.

[0101] In one embodiment, the processor (240) can obtain one or more fourth images by simultaneously correcting one or more second images based on the third image. For example, the processor (240) can obtain one or more fourth images by sequentially correcting one or more second images based on the third image. For example, the processor (240) can obtain one or more fourth images by performing operations of correcting each of the one or more second images based on the third image in parallel. For example, the processor (240) can obtain one or more fourth images by correcting one or more second images based on the third image without additional user input.

[0102] In the examples described above, one or more second images are corrected based on a third image obtained by correcting the first image, but this is not limited thereto. In one embodiment, the processor (240) may obtain one or more fourth images by correcting one or more second images based on the first image when no user input for correcting the first image is obtained after the first image is obtained in operation 301. For example, the processor (240) may obtain one or more fourth images by applying values ​​of a plurality of properties of the first image to one or more second images when no user input for correcting the first image is obtained after the first image is obtained (e.g., when the user does not want to correct the first image).

[0103] In one embodiment, the processor (240) may acquire one or more fourth images in addition to the one or more second images. For example, the processor (240) may store one or more fourth images in the memory (230) based on acquiring one or more fourth images based on the one or more second images without deleting one or more second images from the memory (230). However, the present invention is not limited thereto. For example, the processor (240) may store one or more fourth images and information for restoring one or more second images from the one or more fourth images in the memory (230), and delete one or more second images from the memory (230). For example, the processor (240) may store one or more fourth images in the memory (230) based on acquiring one or more fourth images, and store one or more second images in the memory (230) without storing information in the memory (230) for restoring one or more second images from the one or more fourth images.

[0104] Although not illustrated in FIG. 3, in one embodiment, the processor (240) may display one or more fourth images through the display (210). For example, the processor (240) may display, through the display (210), an execution screen of a gallery application including thumbnail images corresponding to one or more fourth images.

[0105] FIGS. 4A and 4B are drawings illustrating a method of providing an image according to one embodiment.

[0106] Referring to FIGS. 4A and 4B , in one embodiment, at reference numeral 401, the processor (240) may display a screen (410) including a plurality of images (e.g., images (411, 412, 413)) stored in the memory (230) through the display (210) based on the gallery application being executed. For example, the processor (240) may display a plurality of images (e.g., images (411, 412, 413)) stored in the memory (230) in the form of thumbnails through the display (210) based on the gallery application being executed. While the plurality of images (e.g., images (411, 412, 413)) are being displayed, the processor (240) may select a first image (411) from among the plurality of images (e.g., images (411, 412, 413)) based on a user input. The processor (240) may display an object (411-1) indicating that the first image (411) is selected within the first image (411) through the display (210) based on the selection of the first image (411) from among a plurality of images (e.g., images (411, 412, 413)).

[0107] In one embodiment, the processor (240) may display an object (or menu) on the display (210) for selecting one or more second images from among a plurality of images stored in the memory (230) based on metadata of the first image (e.g., a creation time of the first image and / or a creation location of the first image included in the metadata of the first image) (and / or an object included in the first image) based on the selection of the first image (or based on a user input after the selection of the first image (411)). For example, at reference numeral 401, the processor (240) may display a window (414) including objects corresponding to functions related to the first image (411) through the display (210) based on the selection of the first image (411). The processor (240) may perform an operation of selecting one or more second images from among the plurality of images stored in the memory (230) based on metadata of the first image, based on a user input of selecting an object (415) for selecting one or more second images from among the plurality of images stored in the memory (230) among the objects included in the window (414).

[0108] In one embodiment, at reference numeral 402, the processor (240) may display, through the display (210), a screen (420) including a first image (411) and one or more second images (e.g., images (421, 422, 423)) displayed in thumbnail form, based on selection of one or more second images (e.g., images (421, 422, 423)).

[0109] In one embodiment, the processor (240) may display, through the display (210), objects (e.g., objects (421-1, 422-1, 423-1)) indicating that one or more of the second images (e.g., images (421, 422, 423)) are selected as targets of correction with respect to the first image (411) within one or more second images (e.g., images (421, 422, 423)).

[0110] In one embodiment, the processor (240) may deselect at least some of the one or more second images (e.g., images (421, 422, 423)) based on user input for at least some of the one or more second images (e.g., images (421, 422, 423)) after the one or more second images (e.g., images (421, 422, 423)) have been selected. For example, the processor (240) may deselect the image (421) (e.g., exclude the image (421) from being corrected based on the first image (411)) based on user input for the image (421) after the image (421) has been selected. The processor (240) can control the display (210) so that the object (421-1) disappears within the image (421) when the selection for the image (421) is deactivated.

[0111] In one embodiment, at reference numerals 402 and 403, the processor (240) may display a screen (430) including objects (e.g., objects (432)) for editing the first image (411) along with the first image (411) and one or more second images (e.g., images (421, 422, 423)) displayed in thumbnail form, through the display (210), based on a user input for an object (425) (e.g., an icon) for editing the first image (411).

[0112] In one embodiment, at reference numerals 403 and 404, the processor (240) may display, through the display (210), a screen (440) including objects (or user interfaces) for adjusting values ​​of a plurality of attributes of the first image (411), together with the first image (411) and one or more second images (e.g., images (421, 422, 423)) displayed in thumbnail form, based on a user input for an object (432) for correcting the first image (411). For example, the processor (240) may display, through the display (210), an object (441) indicating exposure, a bar-shaped object (441-1), and an object (441-2) (also referred to as a “slider”) that is movable on the object (441-1) based on user input, in order to adjust the exposure of the first image (411). For example, the processor (240) may display, through the display (210), an object (442) indicating brightness, a bar-shaped object (442-1), and an object (442-2) that is movable on the object (441-1) based on user input, in order to adjust the brightness of the first image (411).

[0113] In one embodiment, the processor (240) can adjust the value of an attribute of the first image (411) based on a user input. In one embodiment, the processor (240) can adjust the value of the exposure (e.g., the intensity of the exposure) of the first image (411) by moving the position of the object (441-2) on the object (441-1) based on the user input. For example, the processor (240) can increase the value of the exposure (e.g., an attribute representing the brightness of the entire area of ​​the first image (411)) of the first image (411) based on a drag input for the object (441-2) to move the position of the object (441-2) set as default on the object (441-1) in the right direction (e.g., the center position of the object (441-1)). For example, the processor (240) may decrease the exposure value of the first image (411) based on a drag input to the object (441-2) to move the position of the object (441-2) set as default on the object (441-1) to the left. In one embodiment, the processor (240) may adjust the brightness value of the first image (411) (e.g., an attribute representing the brightness of an area having a brightness value below a threshold brightness value within the first image (411)) by moving the position of the object (442-2) on the object (442-1) based on the user input.

[0114] In one embodiment, the processor (240) may adjust the values ​​of at least some of the plurality of attributes of the first image (411) by analyzing the first image (411) based on user input for the object (445). For example, the processor (240) may automatically adjust the values ​​of at least some of the plurality of attributes of the first image (411) so that the first image (411) has optimized attribute values ​​based on user input for the object (445).

[0115] In one embodiment, the processor (240) may obtain a third image of the first image (411) that has been corrected based on a user input for the object (428) after correction is performed on the first image (411). The processor (240) may obtain one or more fourth images by applying values ​​of a plurality of attributes of the third image to one or more second images (e.g., images (421, 422, 423)) based on a user input for the object (428) after correction is performed on the first image (411).

[0116] In one embodiment, the processor (240) can restore the first image (411) based on a user input for the object (427) after correction is performed on the first image (411) or while correction is performed on the first image (411). For example, the processor (240) can restore the first image (411) to the original image before correction by removing a correction effect that was applied to the first image (411) based on a user input for the object (427) after correction is performed on the first image (411) or while correction is performed on the first image (411).

[0117] In one embodiment, the processor (240) may, at reference numeral 404, deselect at least some of the one or more second images (e.g., images (421, 422, 423)) based on user input for at least some of the one or more second images (e.g., images (421, 422, 423)) before obtaining user input for the object (428) after performing the correction. The processor (240) may, after deselecting some of the one or more second images (e.g., images (421, 422, 423)), perform an operation of applying values ​​of a plurality of attributes of a third image to at least one second image that is finally selected from among the one or more second images (e.g., images (421, 422, 423)) based on user input for the object (428) obtained.

[0118] FIGS. 5A and 5B are drawings illustrating a method of providing an image according to one embodiment.

[0119] Referring to FIGS. 5A and 5B , in one embodiment, at reference numeral 501, the processor (240) may display a screen (510) including a plurality of images (e.g., images (511, 512, 513)) stored in the memory (230) through the display (210) based on the gallery application being executed. For example, the processor (240) may display a plurality of images (e.g., images (511, 512, 513)) stored in the memory (230) in the form of thumbnails through the display (210) based on the gallery application being executed. The processor (240) may select a first image (511) from among the plurality of images (e.g., images (511, 512, 513)) based on a user input while the plurality of images (e.g., images (511, 512, 513)) are displayed.

[0120] In one embodiment, at reference numeral 502, the processor (240) may select one or more second images (e.g., images (521, 522)) based on the metadata of the first image (e.g., the creation time of the first image and / or the creation location of the first image included in the metadata of the first image) (and / or an object included in the first image) based on the selection of the first image (or based on user input after the selection of the first image (511)). The processor (240) may display, through the display (210), a screen (520) including the first image (511) and one or more second images (e.g., images (521, 522)) displayed in thumbnail form, based on the selection of the one or more second images (e.g., images (521, 522)).

[0121] In one embodiment, the processor (240) may display, through the display (210), objects (e.g., objects (521-1, 522-1)) indicating that one or more of the second images (e.g., images (521, 522)) are selected as targets of correction with respect to the first image (511) within one or more second images (e.g., images (521, 522)). In one embodiment, the processor (240) may display, through the display (210), an object (523) for scrolling for an area in which one or more of the second images (e.g., images (521, 522)) are displayed.

[0122] In one embodiment, at reference numeral 503, the processor (240) may display, through the display (210), a user interface (531) including objects (or user interfaces) for adjusting values ​​of a plurality of attributes of the first image (511), together with the first image (511) and one or more second images (e.g., images (521, 522)) displayed in thumbnail form, based on a user input for correcting the first image (511). For example, the processor (240) may display, through the display (210), an object (532) representing exposure, a bar-shaped object (532-1), and an object (532-2) movable on the object (532-1) based on the user input, in order to adjust the exposure of the first image (511). For example, the processor (240) may display an object (533) representing brightness, a bar-shaped object (533-1), and an object (533-2) movable on the object (533-1) based on user input through the display (210) in order to adjust the brightness of the first image (511). For example, the processor (240) may display an object (534) representing contrast, a bar-shaped object (534-1), and an object (534-2) movable on the object (534-1) based on user input through the display (210) in order to adjust the contrast of the first image (511).

[0123] In one embodiment, the processor (240) may adjust the value of an attribute of the first image (511) based on a user input to the user interface (531) (e.g., a user input for objects (532-2, 533-2, 534-2)). The operation of adjusting the value of an attribute of the first image (511) based on the user input to the user interface (531) is at least partially the same as or similar to the operation of adjusting the value of an attribute of the first image (411) based on the user input for objects (e.g., objects (441-2, 442-2)) in reference numeral 404 of FIG. 4, and therefore, a detailed description thereof will be omitted.

[0124] In one embodiment, the processor (240) may obtain a third image in which the first image (511) is corrected by performing correction on the first image (511) at reference numerals 503 and 504. The processor (240) may obtain one or more fourth images (e.g., images (541, 542, 543)) by applying a plurality of attribute values ​​of the third image to one or more second images (e.g., images (521, 522)). Based on the obtaining of the one or more fourth images (e.g., images (541, 542, 543)), the processor (240) may display the one or more fourth images (e.g., images (541, 542, 543)) in the form of thumbnails through the display (210), as illustrated at reference numeral 504.

[0125] FIG. 6 is a flowchart (600) for explaining a method of providing an image according to one embodiment.

[0126] FIG. 7 is a diagram illustrating a method for providing an image according to one embodiment.

[0127] Referring to FIGS. 6 and 7, in operation 601, in one embodiment, the processor (240) may select a plurality of images based on user input.

[0128] In one embodiment, the processor (240) may display images in the memory (230) through the display (210) based on executing an image application (e.g., a gallery application). The processor (240) may select a plurality of images (hereinafter referred to as “a plurality of images”) from among the images based on a user input. Based on the selection of a plurality of images from among the images, the processor (240) may display a screen (710) including a plurality of images (e.g., images (711, 712)) selected based on the user input through the display (210), as illustrated in reference numeral 701 of FIG. 7. The processor (240) may display objects (e.g., objects (711-1, 712-1)) indicating that the plurality of images (e.g., images (711, 712)) are selected, together with a plurality of images (e.g., images (711, 712)), through the display (210) within the plurality of images (e.g., images (711, 712)).

[0129] In operation 603, in one embodiment, the processor (240) may determine a representative image based on attribute values ​​of a plurality of images.

[0130] In one embodiment, the processor (240) may determine a representative image among the plurality of images based on attribute values ​​(e.g., exposure, brightness, contrast, highlight, shadow, saturation, color temperature (white balance), tint, sharpness, and / or clarity) of the plurality of images (e.g., the plurality of images selected in operation 601).

[0131] In one embodiment, the processor (240) may analyze (e.g., extract) values ​​of a plurality of attributes of a plurality of images for each of the plurality of attributes. The processor (240) may obtain (e.g., calculate) averages of values ​​of a plurality of attributes of a plurality of images for each of the plurality of attributes. For example, the processor (240) may calculate an average of exposures of the plurality of images. For example, the processor (240) may calculate an average of brightnesses of the plurality of images.

[0132] In one embodiment, the processor (240) may determine, as a representative image, an image among the plurality of images having attribute values ​​closest to the averages of the plurality of attribute values ​​based on the differences between the plurality of attribute values ​​of the plurality of images and the averages of the plurality of attribute values. For example, the processor (240) may calculate, for each of the plurality of images, the sums (or sums of squares) of the differences between the plurality of attribute values ​​and the averages of the plurality of attributes. The processor (240) may determine, as a representative image, an image among the plurality of images having the minimum value among the sums of the differences between the plurality of attribute values ​​and the averages of the plurality of attributes. However, the method for determining the representative image is not limited to the examples described above.

[0133] In one embodiment, the processor (240) may determine a representative image among the plurality of images based on the compositions of the plurality of images (e.g., the position of an object and / or the direction in which the object is facing within each of the plurality of images).

[0134] In one embodiment, the processor (240) may calculate, from each of a plurality of images, a position of an object included in the image (e.g., coordinates of the object within the image) and / or a horizontal angle (e.g., angle between a horizontal axis of the object and a horizontal axis of the image) and a vertical angle (e.g., angle between a vertical axis of the object and a vertical axis of the image) of the object included in the image (hereinafter referred to as “a value of the composition of the image”).

[0135] In one embodiment, the processor (240) can calculate an average of the positions of objects included in each of the plurality of images, an average of the horizontal angles, and an average of the vertical angles (hereinafter referred to as “average of the composition of the plurality of images”).

[0136] In one embodiment, the processor (240) may determine, among a plurality of images, an image in which the difference between the composition value of the image and the average of the compositions of the plurality of images is minimal, as a representative image.

[0137] In one embodiment, the processor (240) can determine a representative image based on attribute values ​​of a plurality of images and compositions of the plurality of images.

[0138] In one embodiment, reference numeral 702 may represent a representative image (720) determined from among a plurality of images (e.g., images (711, 712)). For example, the representative image (720) may be an image in which an object (e.g., a cake) included in the representative image (720) is positioned at the center of the representative image (720), the entire area of ​​the object is included within the representative image (720), and the horizontal angle and the horizontal angle are substantially 0 degrees.

[0139] In operation 605, in one embodiment, the processor (240) may correct a plurality of images based on the representative image.

[0140] In one embodiment, the processor (240) can correct a plurality of images by applying a plurality of attribute values ​​of the representative image to the plurality of images (e.g., the plurality of images selected in operation 601).

[0141] In one embodiment, the processor (240) may, after a representative image is determined, select one or more images to which multiple attribute values ​​of the representative image are to be applied based on user input. In operation 603, the processor (240) may, after a representative image is determined based on the attribute values ​​of the multiple images, select one or more images to which multiple attribute values ​​of the representative image are to be applied based on user input.

[0142] In one embodiment, the processor (240) may select one or more images from among a plurality of images to which the plurality of attribute values ​​of the representative image will be applied. However, the present invention is not limited thereto, and the processor (240) may also select one or more images from among images stored in the memory (230) in addition to the plurality of images to which the plurality of attribute values ​​of the representative image will be applied.

[0143] In one embodiment, the processor (240) may display the corrected plurality of images through the display (210) based on the correction of the plurality of images. For example, the processor (240) may display a screen (730) including the corrected plurality of images (731, 732, 733) through the display (210), as illustrated in reference numeral 703 of FIG. 7.

[0144] FIG. 8 is a flowchart (800) illustrating a method of providing an image according to one embodiment.

[0145] FIG. 9 is a diagram illustrating a method for providing an image according to one embodiment.

[0146] Referring to FIGS. 8 and 9, in operation 801, in one embodiment, the processor (240) may acquire an image through the camera (220). For example, the processor (240) may display a preview image through the display (210) based on the images acquired through the camera (220). While the preview image is displayed, the processor (240) may acquire an image (e.g., a captured image) (hereinafter referred to as a “first image”) based on a user input for capturing the image.

[0147] In one embodiment, the processor (240) may acquire a first image through the camera (220) based on camera setting values.

[0148] In one embodiment, camera settings may include exposure value (EV), shutter speed, International Organization for Standardization (ISO) value (also referred to as “ISO sensitivity”), white balance (WB), and / or focus information.

[0149] In one embodiment, the processor (240) may acquire a first image through the camera (220) based on camera settings set as default.

[0150] In one embodiment, the processor (240) may acquire a first image through the camera (220) based on camera setting values ​​set based on user input. For example, the processor (240) may adjust a camera setting value set as default based on user input (hereinafter, a camera setting value adjusted from a camera setting value set as default based on user input is referred to as a “first camera setting value”). The processor (240) may acquire a first image through the camera (220) based on the first camera setting value.

[0151] In one embodiment, at reference numeral 901 of FIG. 9, the processor (240) may display a screen (910) including a preview image (911), an object (913) for adjusting a camera setting value (e.g., color temperature), and an object (912) for capturing an image, through the display (210). The processor (240) may adjust the camera setting value (e.g., color temperature) based on a user input for the object (913).

[0152] In one embodiment, the processor (240) may acquire a first image through the camera (220) based on camera setting values ​​set based on an image (e.g., a preview image) acquired through the camera (220). For example, at least a portion of the camera setting values ​​(e.g., an ISO value, a shutter speed) may be adjusted based on a shooting environment (e.g., ambient brightness of the camera (220), an amount of light sensed by the camera (220)) analyzed based on the preview image acquired through the camera (220) (hereinafter, the camera setting values ​​adjusted from the camera setting values ​​set as default based on the image acquired through the camera (220) are referred to as “second camera setting values”). The processor (240) may acquire the first image through the camera (220) based on the second camera setting values.

[0153] In operation 803, in one embodiment, the processor (240) may generate a filter associated with the image (first image) when the image (first image) is acquired using camera settings different from the default camera settings. For example, the processor (240) may generate a filter associated with the first image based on the fact that the first image is acquired using camera settings different from the default camera settings.

[0154] In one embodiment, the processor (240) may generate a filter associated with the first image when the first image is acquired by the first camera setting value and / or the second camera setting value.

[0155] In one embodiment, the filter associated with the first image may include a filter that can apply camera settings of the first image (and / or at least some of the plurality of attribute values ​​of the first image) to one or more other images.

[0156] In one embodiment, the processor (240) may store a filter associated with the first image in the memory (230) based on the filter being generated associated with the first image.

[0157] In one embodiment, the processor (240) may display, through the display (210), an object indicating that a filter related to the first image is generated for the first image when displaying the first image. For example, in reference numeral 902 of FIG. 9, the processor (240) may display, through the display (210), an object (921-1) indicating that a filter related to the first image (921) is generated within the first image (921) when displaying a screen (920) including the first image (921) and other images (e.g., images (922, 923)) stored in the memory (230).

[0158] In operation 805, in one embodiment, the processor (240) may select one or more images (hereinafter referred to as “one or more second images”) from among a plurality of images stored in the memory (230).

[0159] In one embodiment, the processor (240) may select one or more second images from among a plurality of images stored in the memory (230) based on user input.

[0160] In one embodiment, the processor (240) may select one or more second images from among a plurality of images stored in the memory (230) based on the metadata of the first image. The operation of the processor (240) selecting one or more second images from among a plurality of images stored in the memory (230) based on the metadata of the first image is at least partially identical or similar to the operation described through operation 303 of FIG. 3, and therefore, a duplicate description thereof will be omitted.

[0161] In one embodiment, at reference numeral 903 of FIG. 9, the processor (240) may select one or more second images (e.g., images (931, 932, 933, 934, 935, 936, 937)) within a screen (930) displayed through the display (210).

[0162] In operation 807, in one embodiment, the processor (240) may correct one or more images (one or more second images) based on a filter (a filter associated with the first image).

[0163] In one embodiment, the processor (240) may apply camera settings of the first image (and / or at least some of the plurality of attribute values ​​of the first image) to one or more second images using a filter associated with the first image. For example, the processor (240) may acquire the first camera (220) based on the first camera settings set to a shutter speed of 1 / 180 (s), an exposure value of +0.6, and a color temperature of 7300 K, and then select a second image having a shutter speed of 1 / 60 (s), an exposure value of +0.0, and a color temperature of 8000 K, and then correct the second image so that the second image has a shutter speed of 1 / 180 (s), an exposure value of +0.6, and a color temperature of 7300 K. However, the method of applying the camera settings of the first image (and / or at least some of the plurality of attribute values ​​of the first image) to one or more second images by using a filter related to the first image is not limited to the examples described above.

[0164] Although not illustrated in FIGS. 8 and 9 , in one embodiment, the processor (240) may apply the filter associated with the first image to at least one other image after the first image and the filter associated with the first image are stored. For example, the processor (240) may display a plurality of images including the first image through the display (210) based on executing a gallery application after the first image and the filter associated with the first image are stored. The processor (240) may apply the filter associated with the first image to the selected at least one image by selecting at least one image from among the plurality of images to which the filter associated with the first image will be applied.

[0165] FIG. 10 is a flowchart (1000) illustrating a method for providing an image according to one embodiment.

[0166] FIG. 11 is a diagram illustrating a method for providing an image according to one embodiment.

[0167] Referring to FIGS. 10 and 11, in operation 1001, in one embodiment, the processor (240) may determine whether a condition for storing a second image (hereinafter referred to as a “second image”) to be acquired through the camera (220) in a raw file format is satisfied based on a first image (hereinafter referred to as a “first image”) acquired through the camera (220).

[0168] In one embodiment, a raw file may include an uncompressed (uncompressed) image. For example, a raw file may include image data for which no compression operation has been performed on an image acquired through the camera (220). In one embodiment, an image stored in the form of a raw file may be an image (e.g., a lossless image) that includes all information about light input to the image sensor of the camera (220). In one embodiment, an image stored in the form of a raw file may include an image having a bit depth of 12 bits (or 14 bits) or 16 bits as an unprocessed image. In one embodiment, the extension of a raw file may be DNG (digital negative). However, the present invention is not limited thereto, and the extension of a raw file may vary depending on the manufacturer of the camera (220) or the image sensor. In one embodiment, although the raw file is described as an uncompressed image in the above example, the present invention is not limited thereto. For example, a raw file may include a lossless compressed raw file or a compressed raw file.

[0169] In one embodiment, the processor (240) may determine whether a condition for storing a second image in a raw file format is satisfied based on a preview image as the first image. However, the present invention is not limited thereto. For example, the processor (240) may determine whether a condition for storing a second image in a raw file format is satisfied based on whether a plurality of images (e.g., a plurality of captured images) acquired prior to acquiring the second image satisfy a specified condition. This will be described in detail with reference to FIG. 13.

[0170] In one embodiment, the processor (240) may determine whether a condition for storing the second image in the raw file format (hereinafter referred to as the “first condition”) is satisfied based on the contrast of the first image (e.g., the difference between the brightness of the most stepped area and the brightness of the darkest area within the first image). For example, the processor (240) may determine that the first condition is satisfied based on the difference between the brightness of the most stepped area and the brightness of the darkest area within the first image being greater than or equal to a threshold. For example, the processor (240) may determine that the first condition is not satisfied based on the difference between the brightness of the most stepped area and the brightness of the darkest area within the first image being less than the threshold.

[0171] In one embodiment, the processor (240) may determine whether the first condition is satisfied based on the brightness of the first image. For example, the processor (240) may determine that the first condition is satisfied based on an average of the brightness values ​​of the pixels of the first image being greater than or equal to a first threshold (e.g., when the first image is bright) or based on an average of the brightness values ​​of the pixels of the first image being less than or equal to a second threshold (e.g., a second threshold less than the first threshold) (e.g., when the first image is dark). For example, the processor (240) may determine that the first condition is not satisfied based on an average of the brightness values ​​of the pixels of the first image being greater than the second threshold and less than the first threshold.

[0172] In one embodiment, the processor (240) may determine whether the first condition is satisfied based on the noise in the first image. For example, the processor (240) may determine that the first condition is satisfied based on the amount of noise in the first image being greater than or equal to a threshold. For example, the processor (240) may determine that the first condition is not satisfied based on the amount of noise in the first image being less than a threshold.

[0173] In one embodiment, the processor (240) may determine that the first condition is satisfied based on whether the shooting mode of the camera (220) is set to a portrait shooting mode or a night shooting mode. However, the present invention is not limited thereto. For example, the processor (240) may determine that the first condition is satisfied based on whether the first image includes a person or the shooting environment of the first image is night.

[0174] However, the method for determining whether the conditions for storing the second image in the raw file format are satisfied is not limited to the examples described above. For example, the first condition may include any condition that makes storing the second image in the raw file format more suitable than storing it in another format (e.g., compressed file format).

[0175] In operation 1003, in one embodiment, the processor (240) may display guide information for storing the second image in the form of a file when acquiring the second image through the display (210) based on confirmation that the above condition (first condition) is satisfied.

[0176] In one embodiment, the processor (240) may display guide information through the display (210) that guides the user to set a mode (hereinafter, also referred to as “RAW shooting mode”) for saving the second image in the form of a raw file when acquiring the second image through the camera (220) based on the satisfaction of the first condition. For example, in reference numeral 1101 of FIG. 11, the processor (240) may display a screen (1110) including an area for displaying a preview image through the display (210). Based on confirmation that the first condition is satisfied based on the preview image, the processor (240) may display guide information (1121) through the display (210) that guides the user to set the RAW shooting mode, such as “Activate RAW now and shoot. RAW images provide uncompressed original images that are easy to correct, allowing the user to take their own photos.”

[0177] In one embodiment, the processor (240) may display an object indicating the RAW shooting mode through the display (210) together with the guide information based on the satisfaction of the first condition. For example, in reference numeral 1102 of FIG. 11, the processor (240) may display a screen (1120) including an object (1122) indicating the RAW shooting mode (e.g., an object for activating the RAW shooting mode) together with the guide information (1121) through the display (210) based on the satisfaction of the first condition.

[0178] In one embodiment, the processor (240) may activate the RAW shooting mode based on a user input for the object (1122). For example, in reference numerals 1102 and 1103 of FIG. 11, the processor (240) may activate the RAW shooting mode based on a user input for the object (1122). When the RAW shooting mode is activated, the processor (240) may display a screen (1130) including an object (1131) indicating that the RAW shooting mode is activated through the display (210).

[0179] In one embodiment, at reference numerals 1103 and 1104 of FIG. 11, the processor (240) may deactivate the RAW shooting mode based on a user input for the object (1122) after the RAW shooting mode is activated (e.g., while the RAW shooting mode is activated). When the RAW shooting mode is deactivated, the processor (240) may display a screen (1140) including an object (1141) indicating that the RAW shooting mode is deactivated through the display (210).

[0180] In operation 1005, in one embodiment, the processor (240) may acquire a second image based on a user input for an object (1112) for acquiring an image while the RAW shooting mode is activated, and store the acquired second image in the memory (230) in the form of a RAW file.

[0181] In one embodiment, the processor (240) may generate a second image in the form of a RAW file based on the second image being acquired while the RAW shooting mode is activated, and may generate the second image in a specified form (e.g., a compressed file format such as a Joint Photographic Experts Group (JPEG) format). The processor (240) may store the second image generated in the form of a RAW file and the second image generated in the specified form in the memory (230).

[0182] FIG. 12 is a diagram illustrating a method of storing an image according to one embodiment.

[0183] Referring to FIG. 12, in one embodiment, the processor (240) may store a second image acquired through the camera (220) in the form of a RAW file in the memory (230) while the RAW shooting mode is activated.

[0184] In one embodiment, the processor (240) may display a second image stored in the memory (230) in the form of a RAW file through the display (210). For example, in reference numeral 1201 of FIG. 12, the processor (240) may display a screen (1210) including a second image (1212) stored in the memory (230) in the form of a RAW file, an object (1211) indicating that the second image (1212) is an image stored in the form of a RAW file, and a thumbnail image (1212-1) of the second image (1212).

[0185] In one embodiment, the processor (240) may store a second image acquired through the camera (220) in the form of a RAW file in the memory (230) while the RAW shooting mode is activated, generate the second image in the form of a JPEG using a lossy compression method, and store the second image generated in the form of the JPEG in the memory (230).

[0186] In one embodiment, the processor (240) may display a second image stored in the memory (230) in the form of a JPEG file through the display (210). For example, in reference numeral 1202 of FIG. 12, the processor (240) may display a screen (1220) including a second image (1221) stored in the memory (230) in the form of a JPEG file and a thumbnail image (1221-1) of the second image (1221) through the display (210).

[0187] In the examples described above, the processor (240) is described as generating a second image acquired through the camera (220) in a RAW file format and a JPEG format while the RAW shooting mode is activated, and storing the second image generated in the RAW file format and the second image generated in the JPEG format in the memory (230), but is not limited thereto. For example, the processor (240) may generate a second image acquired through the camera (220) only in a RAW file format while the RAW shooting mode is activated, and store the second image generated in the RAW file format in the memory (230).

[0188] FIG. 13 is a flowchart (1300) illustrating a method of providing an image according to one embodiment.

[0189] Referring to FIG. 13, in operation 1301, in one embodiment, the processor (240) may acquire a 1-1 image (hereinafter referred to as “1-1 image”) and a 1-2 image (hereinafter referred to as “1-2 image”) through the camera (220).

[0190] In one embodiment, the first image and the first image may be images sequentially acquired (e.g., photographed) through the camera (220). For example, the processor (240) may acquire the first image based on a user input (e.g., a user input for acquiring a capture image) while displaying a preview image acquired through the camera (220). The processor (240) may display a preview image acquired through the camera (220) after acquiring the first image. The processor (240) may acquire the first image based on a user input (e.g., a user input for acquiring a capture image) while displaying a preview image acquired through the camera (220) after acquiring the first image.

[0191] In one embodiment, the first-second image may be an image acquired through the camera (220) within a specified time from the time of acquiring the first-first image.

[0192] In one embodiment, the 1-2 image may be an image acquired through the camera (220) without switching the screen after acquiring the 1-1 image. For example, the processor (240) may acquire the 1-1 image through the camera (220) while the execution screen of the camera application is displayed. If the processor (240) acquires the image through the camera (220) without switching the screen displayed through the display (210) from the camera application to another screen (e.g., a home screen) after acquiring the 1-1 image, the processor (240) may determine the acquired image as the 1-2 image.

[0193] In operation 1303, in one embodiment, the processor (240) may determine that the similarity between the first image and the first image is greater than or equal to a threshold similarity. For example, the processor (240) may compare the first image and the first image. Through the comparison, the processor (240) may determine whether the similarity between the first image and the first image is greater than or equal to a threshold similarity. In one embodiment, when the similarity between the first image and the first image is greater than or equal to the threshold similarity, it may be that the first image and the first image include substantially the same scene. In one embodiment, when the similarity between the first image and the first image is greater than or equal to the threshold similarity, it may be that the user wants to capture the same scene multiple times.

[0194] In one embodiment, the condition in which the similarity between the 1-1 image and the 1-2 image is greater than or equal to a threshold similarity may be referred to as a “second condition” or a “re-shooting condition.”

[0195] In operation 1305, in one embodiment, the processor (240) may determine whether a condition (first condition) for storing a second image to be acquired through the camera (220) in a raw file format is satisfied based on the similarity between the first image and the first image (and / or the first image) being greater than or equal to a threshold similarity (e.g., based on the second condition being satisfied). The operation of determining whether a condition for storing a second image to be acquired through the camera (220) in a raw file format is satisfied based on the first image (and / or the first image) is at least partially identical or similar to operation 1101 of FIG. 11, and therefore, a detailed description thereof will be omitted.

[0196] In operation 1305, in one embodiment, the processor (240) may display guide information for storing the second image in the raw file format through the display (210) upon acquiring the second image based on the 1-2 image (and / or the 1-1 image) and confirming that a condition for storing the second image in the raw file format to be acquired through the camera (220) is satisfied.

[0197] Since operation 1305 is at least partially identical or similar to operation 1003 of FIG. 10, a detailed description thereof will be omitted.

[0198] In operation 1307, in one embodiment, the processor (240) may store the second image in the form of a RAW file in the memory (230). For example, the processor (240) may acquire the second image based on a user input for an object (1112) for acquiring an image while the RAW shooting mode is activated, and store the acquired second image in the form of a RAW file in the memory (230).

[0199] Since operation 1307 is at least partially identical or similar to operation 1005 of FIG. 10, a detailed description thereof will be omitted.

[0200] FIG. 14 is a drawing for explaining a method of correcting an image stored in a raw file format according to one embodiment.

[0201] Referring to FIG. 14, in one embodiment, the processor (240) may correct an image stored in a raw file format (hereinafter also referred to as a “raw image”). For example, the processor (240) may correct (e.g., adjust) the values ​​of one or more attributes among the values ​​of a plurality of attributes of the raw image.

[0202] In one embodiment, at reference numerals 1401 and 1402 of FIG. 14, the processor (240) may display a screen (e.g., screen (1410), screen (1420)) including an area (1411) in which a raw image is displayed and an interface for correcting the raw image through the display (210).

[0203] In one embodiment, an interface for correcting a raw image (hereinafter also referred to as an “interface”) may include objects representing a plurality of properties (1412, 1413, 1414, 1421, 1422, 1423, 1424), objects for adjusting values ​​of the plurality of properties (e.g., objects for adjusting a value of exposure (1412-1, 1412-2)), an object for automatically adjusting values ​​of the plurality of properties (1417), and / or a histogram (1418) related to properties of the raw image.

[0204] In one embodiment, at reference numerals 1401 and 1402 of FIG. 14, the processor (240) may display a portion of the interface through the display (210). While the portion of the interface is being displayed, the processor (240) may display another portion of the interface that was not displayed, through the display (210), based on a user input to the interface (e.g., a user input scrolling the interface to correct an image).

[0205] In one embodiment, the processor (240) may adjust at least one attribute value among a plurality of attribute values ​​of the raw image based on a user input to the interface. For example, the processor (240) may adjust an exposure value (or intensity of exposure) based on a user input that moves the position of a movable object (1412-2) (also referred to as a “slider”) on a bar-shaped object (1412-1).

[0206] In one embodiment, the processor (240) may control the display (210) so that while adjusting one of a plurality of attribute values ​​of a raw image, objects for adjusting other attribute values ​​are not displayed. For example, when obtaining a user input for an object (1412-2) related to an exposure value (e.g., upon touching the object (1412-2)), the processor (240) may control the display (210) so that only the objects (1412, 1412-1, 1412-2) are displayed and objects related to other attributes (e.g., attributes indicated by objects (1413, 1414, 1421, 1422, 1423, 1424)) disappear from the display (210).

[0207] In one embodiment, reference numeral 1403 of FIG. 14 may represent an interface (1430) for correcting a raw image. For example, the interface (1430) for correcting a raw image may include objects (1412, 1413, 1414, 1421, 1422, 1423, 1424) representing a plurality of properties, objects for adjusting values ​​of the plurality of properties (e.g., objects (1412-1, 1412-2) for adjusting a value of exposure), and an object (1417) for automatically adjusting values ​​of the plurality of properties.

[0208] In one embodiment, as illustrated in reference numeral 1403, the plurality of attributes of the raw image may include exposure, brightness, contrast, highlight, shadow, color temperature, and tint. However, the plurality of attributes of the image are not limited to the examples described above. For example, the plurality of attributes of the raw image may further include chroma, sharpness, and / or clarity.

[0209] In one embodiment, the processor (240) may store the corrected raw image (1411) in the memory (230) based on user input for the object (1419-2) after correcting the raw image (1411).

[0210] In one embodiment, the processor (240) may remove an effect (or filter) applied to the corrected raw image (1411) based on user input for the object (1419-1) after correcting the raw image (1411). For example, the processor (240) may restore the corrected raw image based on user input for the object (1419-1) after correcting the raw image (1411).

[0211] FIGS. 15A and 15B are drawings for explaining a method of correcting an image stored in a raw file format according to one embodiment.

[0212] Referring to FIGS. 15A and 15B , in one embodiment, the processor (240) may provide an application for correcting a raw image (e.g., a program for editing a raw image).

[0213] In one embodiment, the processor (240) may display a raw image through the display (210) based on a user input selecting a raw image while the gallery application is running. For example, the processor (240) may display a screen (1510) including a raw image (1511) through the display (210) as reference numeral 1501 of FIG. 15A.

[0214] In one embodiment, the processor (240) may execute an application for correcting a raw image (e.g., an application that is linked with a gallery application and can execute a function for correcting a raw image) based on a user input for correcting (or editing) the raw image while the raw image is displayed. For example, the processor (240) may display a screen (1520) including an interface for correcting a raw image through the display (210) based on a user input for an object (1512) for correcting a raw image in reference numerals 1501 and 1502 of FIG. 15A. In one embodiment, the interface may include objects representing multiple properties of a raw image (1511) (e.g., objects (1521, 1522, 1523)), objects for adjusting values ​​of the multiple properties (e.g., objects (1521-1, 1521-2)), an object (1526) for automatically adjusting values ​​of the multiple properties, an object (1525) representing a specified filter, and / or a histogram (1527) associated with a property of the raw image.

[0215] In one embodiment, at reference numeral 1502 of FIG. 15A and reference numeral 1503 of FIG. 15B, the processor (240) may display, through the display (210), a screen (1530) including objects (1531, 1531-1) for adjusting attribute values ​​of a specified filter based on a user input for an object (1525) representing a specified filter.

[0216] In one embodiment, the designated filter may include a filter that can perform a function that applies a film-like effect to the raw image (also referred to as a "film emulation function" or a "film simulation function"). However, the designated filter is not limited to the examples described above. Furthermore, although FIGS. 15A and 15B illustrate an example of providing a single designated filter, multiple designated filters may be provided.

[0217] In one embodiment, at reference numeral 1503, the processor (240) may adjust the intensity of a specified filter (e.g., a value of the specified filter) based on a user input for a movable object (1531-1) on a bar-shaped object (1531).

[0218] In one embodiment, the processor (240) may store the strength of a specified filter in the memory (230). For example, in reference numeral 1503, the processor (240) may adjust the strength of a specified filter (e.g., a filter whose name is "film 1") based on user input for objects (1531, 1531-1), and then store the adjusted strength of the specified filter in the memory (230).

[0219] In one embodiment, the processor (240) may display, through the display (210), adjusted intensities of a specified filter (e.g., a history of adjusted intensities of a specified filter) that have been stored in the memory (230). For example, at reference numeral 1504, the processor (240) may display, through the display (210), a screen (1540) that includes objects (1542, 1543, 1544, 1545, 1546) representing, respectively, intensities 11, 55, 23, 90, and 100 (e.g., “film 1 on”) of film 1 that have been stored in the memory (230).

[0220] In one embodiment, the processor (240) can automatically adjust at least one attribute value among the plurality of attribute values ​​of the raw image (1511) based on user input for the object (1526) for automatically adjusting the values ​​of the plurality of attributes. For example, in reference numerals 1504 and 1505, the processor (240) can automatically adjust the values ​​of at least some of the plurality of attribute values ​​of the raw image (1511) based on user input for the object (1526) such that the raw image (1511) has optimized attribute values. The processor (240) may display a screen (1550) including a user interface (e.g., a user interface including objects (1551, 1551-1, 1551-2, 1552, 1553)) that indicates the value of the adjusted attribute (e.g., the intensity of the adjusted attribute) when the value of at least some of the attributes of the plurality of attributes of the raw image (1511) is adjusted through the display (210).

[0221] In one embodiment, the processor (240) may store the corrected raw image (1511) in the memory (230) based on user input for the object (1528-2) after correcting the raw image (1511).

[0222] In one embodiment, the processor (240) may remove an effect (or filter) applied to the corrected raw image (1511) based on user input for the object (1528-1) after correcting the raw image (1511). For example, the processor (240) may restore the corrected raw image based on user input for the object (1528-1) after correcting the raw image (1511).

[0223] In one embodiment, the electronic device (201) may include a memory (230) and at least one processor (240). The at least one processor (240) may be configured to acquire a first image. The at least one processor (240) may be configured to select one or more second images from among a plurality of images stored in the memory (230) based on at least one of a creation time of the first image or a creation location of the first image included in metadata of the first image. The at least one processor (240) may be configured to acquire a third image by changing a value of at least one attribute from among values ​​of a plurality of attributes of the first image based on a user input. The at least one processor (240) may be configured to acquire one or more fourth images by changing values ​​of a plurality of attributes of each of the one or more second images based on values ​​of the plurality of attributes of the third image.

[0224] In one embodiment, the first image may be selected from among a plurality of images stored in the memory (230) based on a user input or may be acquired through a camera (220) of the electronic device (201).

[0225] In one embodiment, the at least one processor (240) may be configured to select, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified time range based on the generation time of the first image, as the one or more second images.

[0226] In one embodiment, the at least one processor (240) may be configured to select, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified distance time based on the generation location of the first image, as the one or more second images.

[0227] In one embodiment, the at least one processor (240) may be configured to obtain one or more fourth images by applying values ​​of a plurality of attributes of the third image to the one or more second images.

[0228] In one embodiment, the at least one processor (240) may be configured to select a plurality of fifth images from among the plurality of images stored in the memory (230) based on a user input. The at least one processor (240) may be configured to determine a representative image from among the plurality of fifth images based on values ​​of attributes of each of the plurality of fifth images and a location of an object included in each of the plurality of fifth images. The at least one processor (240) may be configured to correct the plurality of sixth images based on values ​​of attributes of the representative image.

[0229] In one embodiment, the electronic device (201) may further include a camera (220). The at least one processor (240) may be configured to acquire a seventh image through the camera (220). The at least one processor (240) may be configured to generate a filter associated with the first image based on the first image being acquired based on camera setting values ​​that are different from camera setting values ​​set by default. The at least one processor (240) may be configured to select a plurality of eighth images from among the plurality of images stored in the memory (230). The at least one processor (240) may be configured to correct the plurality of eighth images using the generated filter. The camera setting values ​​may include an exposure value, a shutter speed, an International Organization for Standardization (ISO) value, a white balance, and / or focus information.

[0230] In one embodiment, the plurality of properties may include exposure, brightness, contrast, highlight, shadow, saturation, color temperature, tint, sharpness, and / or clarity.

[0231] In one embodiment, a method for providing an image in an electronic device (201) may include an operation of obtaining a first image. The method may include an operation of selecting one or more second images from among a plurality of images stored in a memory (230) of the electronic device (201) based on at least one of a creation time of the first image or a creation location of the first image included in metadata of the first image. The method may include an operation of obtaining a third image by changing a value of at least one attribute from among values ​​of a plurality of attributes of the first image based on a user input. The method may include an operation of obtaining one or more fourth images by changing values ​​of a plurality of attributes of each of the one or more second images based on the values ​​of the plurality of attributes of the third image.

[0232] In one embodiment, the first image may be selected from among a plurality of images stored in the memory (230) based on a user input or may be acquired through a camera (220) of the electronic device (201).

[0233] In one embodiment, the operation of selecting the one or more second images may include an operation of selecting, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified time range based on the generation time of the first image, as the one or more second images.

[0234] In one embodiment, the operation of selecting the one or more second images may include an operation of selecting, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified distance time based on the generation location of the first image, as the one or more second images.

[0235] In one embodiment, the act of obtaining the one or more fourth images may include the act of obtaining the one or more fourth images by applying values ​​of a plurality of properties of the third image to the one or more second images.

[0236] In one embodiment, the method may further include an operation of selecting a plurality of fifth images from among the plurality of images stored in the memory (230) based on a user input. The method may further include an operation of determining a representative image from among the plurality of fifth images based on values ​​of attributes of each of the plurality of fifth images and a location of an object included in each of the plurality of fifth images. The method may further include an operation of correcting a plurality of sixth images based on values ​​of attributes of the representative image.

[0237] In one embodiment, the method may further include an operation of generating a filter associated with the first image based on the first image being acquired based on camera setting values ​​different from default camera setting values. The method may further include an operation of selecting a plurality of eighth images from among the plurality of images stored in the memory (230). The method may further include an operation of correcting the plurality of eighth images using the generated filter. The camera setting values ​​may include an exposure value, a shutter speed, an ISO value, a white balance, and / or focus information.

[0238] In one embodiment, the electronic device (201) may include a camera (220), a display (210), a memory (230), and at least one processor (240). The at least one processor (240) may be configured to determine, based on a first image acquired through the camera (220), whether a condition for storing a second image acquired through the camera (220) in a raw file format is satisfied. The at least one processor (240), based on determining that the condition is satisfied, may be configured to display, through the display (210), guide information for storing the second image in the raw file format when acquiring the second image. The at least one processor (240), based on acquiring the second image through the camera (220) after displaying the guide information, may be configured to store the second image in the raw file format in the memory (230).

[0239] In one embodiment, the at least one processor (240) may be configured to determine whether the condition is satisfied based on the contrast, brightness, noise of the first image, and / or whether the mode in which the first image was captured is a portrait shooting mode or a night shooting mode.

[0240] In one embodiment, the at least one processor (240) may be configured to display, through the display (210), an object for activating a mode for saving the second image in the form of a file together with the guide information.

[0241] In one embodiment, the at least one processor (240) may be configured to sequentially acquire a third image and a fourth image through the camera (220). The at least one processor (240) may be configured to determine whether the similarity between the third image and the fourth image is greater than or equal to a threshold similarity. The at least one processor (240) may be configured to determine whether the condition is satisfied based on the similarity between the third image and the fourth image being greater than or equal to the threshold similarity.

[0242] In one embodiment, the at least one processor (240) may be configured to correct the second image stored in the raw file format based on user input.

[0243] Additionally, the structure of the data used in the embodiments of the present document described above can be recorded on a computer-readable recording medium through various means. The computer-readable recording medium includes storage media such as magnetic storage media (e.g., ROM, floppy disk, hard disk, etc.) and optical reading media (e.g., CD-ROM, DVD, etc.).

Claims

1. In an electronic device (201), memory (230); and comprising at least one processor (240), At least one processor (240) above, Obtain the first image, Selecting one or more second images from among a plurality of images stored in the memory (230) based on at least one of the creation time of the first image or the creation location of the first image included in the metadata of the first image, By changing the value of at least one attribute among the values ​​of a plurality of attributes of the first image based on a user input, a third image is obtained, and An electronic device (201) configured to obtain one or more fourth images by changing values ​​of a plurality of attributes of each of the one or more second images based on values ​​of a plurality of attributes of the third image.

2. In paragraph 1, The first image is an electronic device (201) selected from among a plurality of images stored in the memory (230) based on a user input or acquired through a camera (220) of the electronic device (201).

3. In paragraph 1 or 2, At least one processor (240) above, An electronic device (201) configured to select, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified time range based on the generation time of the first image, as the one or more second images.

4. In any one of paragraphs 1 to 3, At least one processor (240) above, An electronic device (201) configured to select, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified distance time based on the generation location of the first image, as the one or more second images.

5. In any one of paragraphs 1 to 4, At least one processor (240) above, An electronic device (201) configured to obtain one or more fourth images by applying values ​​of a plurality of attributes of the third image to one or more second images.

6. In any one of paragraphs 1 to 5, At least one processor (240) above, Based on the user input, a plurality of fifth images are selected from among the plurality of images stored in the memory (230), Based on the values ​​of the attributes of each of the plurality of fifth images and the positions of the objects included in each of the plurality of fifth images, a representative image is determined among the plurality of fifth images, and An electronic device (201) configured to correct a plurality of sixth images based on values ​​of attributes of the above representative image.

7. In any one of paragraphs 1 to 6, Including a camera (220), At least one processor (240) above, Obtain the 7th image through the above camera (220), Generating a filter related to the first image based on the fact that the first image is acquired based on camera setting values ​​different from the camera setting values ​​set by default, Selecting a plurality of 8th images from among the plurality of images stored in the above memory (230), and configured to correct the plurality of eighth images using the above generated filter, The above camera setting values ​​are an electronic device (201) including exposure value, shutter speed, ISO (International Organization for Standardization) value, white balance, and / or focus information.

8. In any one of paragraphs 1 to 7, The above multiple properties include exposure, brightness, contrast, highlight, shadow, saturation, color temperature, tint, sharpness, and / or clarity of the electronic device (201).

9. In a method of providing an image in an electronic device (201), The action of acquiring the first image; An operation of selecting one or more second images from among a plurality of images stored in a memory (230) of the electronic device (201) based on at least one of a creation time of the first image or a creation location of the first image included in metadata of the first image; An operation of obtaining a third image by changing the value of at least one attribute among the values ​​of a plurality of attributes of the first image based on a user input; and A method comprising the action of obtaining one or more fourth images by changing values ​​of a plurality of attributes of each of the one or more second images based on values ​​of a plurality of attributes of the third image.

10. In paragraph 9, The above first image is selected from among a plurality of images stored in the memory (230) based on a user input or is acquired through a camera (220) of the electronic device (201).

11. In clause 9 or 10, The action of selecting one or more of the second images, A method including an action of selecting, from among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified time range based on the generation time of the first image, as the one or more second images.

12. In any one of paragraphs 9 to 11, The action of selecting one or more of the second images, A method including an action of selecting, among the plurality of images, images acquired through the camera (220) of the electronic device (201) within a specified distance time based on the generation location of the first image, as the one or more second images.

13. In any one of paragraphs 9 to 12, The operation of acquiring one or more of the fourth images comprises: A method comprising the action of obtaining one or more fourth images by applying values ​​of a plurality of properties of the third image to one or more second images.

14. In any one of paragraphs 9 to 13, An operation of selecting a plurality of fifth images from among the plurality of images stored in the memory (230) based on user input; An operation of determining a representative image among the plurality of fifth images based on the values ​​of the properties of each of the plurality of fifth images and the positions of objects included in each of the plurality of fifth images; and A method further comprising an action of correcting a plurality of sixth images based on values ​​of attributes of the representative image.

15. In any one of paragraphs 9 to 14, An operation of generating a filter related to the first image based on the first image being acquired based on camera setting values ​​different from the camera setting values ​​set as default; An operation of selecting a plurality of eighth images from among the plurality of images stored in the above memory (230); and Further comprising an operation of correcting the plurality of eighth images using the generated filter, The above camera setting values ​​include exposure value, shutter speed, ISO value, white balance, and / or focus information.

Images