KR20230168864A - Electronic device and method for processing image using a plurality of exposure value - Google Patents

Abstract

An electronic device according to various embodiments of the present invention includes an image sensor, a first detector, a second detector, a memory, and a processor operatively connected to the image sensor, the first detector, the second detector, and the memory. and wherein the processor acquires at least one first image having a first exposure value and at least one second image having a second exposure value using the image sensor, and the processor for the at least one first image Checking the first exposure value and the second exposure value for the at least one second image and, based on a threshold value stored in the memory, whether the first exposure value and the second exposure value exceed the threshold value. and, if the first exposure value exceeds the threshold and the second exposure value does not exceed the threshold, send information about at least one second image having the second exposure value to the second detector. By being configured to input, an expanded dynamic range for an object can be implemented using images with a plurality of exposure values. Various other embodiments may be possible.

Description

Electronic device and method for processing an image using a plurality of exposure values {ELECTRONIC DEVICE AND METHOD FOR PROCESSING IMAGE USING A PLURALITY OF EXPOSURE VALUE}

Various embodiments of the present invention relate to an electronic device and method for processing an image using a plurality of exposure values.

The use of electronic devices such as smart phones or wearable devices is increasing, and various functions are provided to electronic devices.

The electronic device may capture an image or video of a specific object (eg, subject) using one or more cameras.

The electronic device can display images or videos captured using a camera to the user through a display module.

A camera in an electronic device may include a detector (eg, scene detector). The detector can be used to search, track, and recognize images of objects acquired through cameras in real time.

The performance of the detector may deteriorate depending on the illuminance of the external environment. To improve the performance of the detector, pre-processing, such as a change in tone curve, can be used on object images acquired in dark or bright parts of the external environment.

Even if the pre-processing is used, there may be a limit to the dynamic range that can be expressed through an object image with a single exposure value.

Various embodiments of the present invention can provide an electronic device and method that can implement an expanded dynamic range for an object (eg, a subject) using an image (eg, a frame) having a plurality of exposure values.

The technical problem to be achieved in the present disclosure is not limited to the technical problem mentioned above, and other technical problems not mentioned can be clearly understood by those skilled in the art from the description below. There will be.

An electronic device according to various embodiments of the present invention includes an image sensor, a first detector, a second detector, a memory, and a processor operatively connected to the image sensor, the first detector, the second detector, and the memory. And the processor acquires at least one first image having a first exposure value and at least one second image having a second exposure value using the image sensor, and the first image for the at least one first image Checking the first exposure value and the second exposure value for the at least one second image, and determining whether the first exposure value and the second exposure value exceed the threshold based on a threshold value stored in the memory. determine, and if the first exposure value exceeds the threshold and the second exposure value does not exceed the threshold, input information about at least one second image having the second exposure value to the second detector It can be configured to do so.

A method according to various embodiments of the present invention includes an operation of, by a processor, acquiring at least one first image having a first exposure value and at least one second image having a second exposure value using an image sensor, the at least one An operation of confirming the first exposure value for the first image and the second exposure value for the at least one second image, based on a threshold value stored in a memory, the first exposure value and the second exposure value are determining whether a threshold value is exceeded, and if the first exposure value exceeds the threshold value and the second exposure value does not exceed the threshold value, at least one second image having the second exposure value. It may include an operation of inputting information about to the second detector.

Various embodiments of the present invention include at least one first image (e.g., first frame) having a first exposure value (e.g., middle exposure value (0 EV) or long exposure value (+ EV)) and a second exposure value (e.g., Example: expansion on an object (e.g. subject) image by inputting and processing at least one second image (e.g., second frame) with a short exposure value (-EV)) into the first detector and the second detector, respectively. A dynamic range can be realized.

In addition, various effects that can be directly or indirectly identified through this document may be provided.

In relation to the description of the drawings, identical or similar reference numerals may be used for identical or similar components.
1 is a block diagram of an electronic device in a network environment according to various embodiments of the present invention.
Figure 2 is a block diagram illustrating a camera module according to various embodiments of the present invention.
Figure 3 is a block diagram schematically showing the configuration of an electronic device according to various embodiments of the present invention.
FIG. 4 is a diagram illustrating an embodiment in which detectors of an electronic device receive a plurality of exposure values according to various embodiments of the present invention.
FIG. 5 is a diagram illustrating an embodiment in which an electronic device synthesizes at least one first image with a first exposure value and at least one second image with a second exposure value according to various embodiments of the present invention.
FIG. 6 is a diagram illustrating an example of at least one first image having a first exposure value and at least one second image having a second exposure value output from an electronic device according to various embodiments of the present disclosure.
FIG. 7 illustrates one embodiment of classification of objects in each of at least one first image with a first exposure value and at least one second image with a second exposure value output from an electronic device according to various embodiments of the present invention. This is a drawing that represents.
Figure 8 is a flowchart schematically showing a method in which an electronic device processes an image using a plurality of exposure values according to various embodiments of the present invention.
Figure 9 is a flowchart schematically showing a method by which an electronic device uses a plurality of exposure values according to various embodiments of the present invention.
FIG. 10 is a flowchart schematically illustrating a method in which an electronic device processes an image using a plurality of exposure values according to various embodiments of the present invention.

FIG. 1 is a block diagram of an electronic device 101 in a network environment 100 according to various embodiments of the present invention.

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

The processor 120, for example, executes software (e.g., program 140) to operate at least one other component (e.g., hardware or software component) of the electronic device 101 connected to the processor 120. It can be controlled and various data processing or calculations can be performed. According to one embodiment, as at least part of data processing or computation, the processor 120 stores instructions or data received from another component (e.g., sensor module 176 or communication module 190) in volatile memory 132. The commands or data stored in the volatile memory 132 can be processed, and the resulting data can be stored in the non-volatile memory 134. According to one embodiment, the processor 120 includes the main processor 121 (e.g., a central processing unit or an application processor) or an auxiliary processor 123 that can operate independently or together (e.g., a graphics processing unit, a neural network processing unit ( It may include a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor). For example, if the electronic device 101 includes a main processor 121 and a secondary processor 123, the secondary processor 123 may be set to use lower power than the main processor 121 or be specialized for a designated function. You can. The auxiliary processor 123 may be implemented separately from the main processor 121 or as part of it.

The auxiliary processor 123 may, for example, act on behalf of the main processor 121 while the main processor 121 is in an inactive (e.g., sleep) state, or while the main processor 121 is in an active (e.g., application execution) state. ), together with the main processor 121, at least one of the components of the electronic device 101 (e.g., the display module 160, the sensor module 176, or the communication module 190) At least some of the functions or states related to can be controlled. According to one embodiment, co-processor 123 (e.g., image signal processor or communication processor) may be implemented as part of another functionally related component (e.g., camera module 180 or communication module 190). there is. According to one embodiment, the auxiliary processor 123 (eg, neural network processing device) may include a hardware structure specialized for processing artificial intelligence models. Artificial intelligence models can be created through machine learning. For example, such learning may be performed in the electronic device 101 itself on which the artificial intelligence model is performed, or may be performed through a separate server (e.g., server 108). Learning algorithms may include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but It is not limited. An artificial intelligence model may include multiple artificial neural network layers. Artificial neural networks include deep neural network (DNN), convolutional neural network (CNN), recurrent neural network (RNN), restricted boltzmann machine (RBM), belief deep network (DBN), bidirectional recurrent deep neural network (BRDNN), It may be one of deep Q-networks or a combination of two or more of the above, but is not limited to the examples described above. In addition to hardware structures, artificial intelligence models may additionally or alternatively include software structures.

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

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

The input module 150 may receive commands or data to be used in a component of the electronic device 101 (e.g., the processor 120) from outside the electronic device 101 (e.g., a user). The input module 150 may include, for example, a microphone, mouse, keyboard, keys (eg, buttons), or digital pen (eg, stylus pen).

The sound output module 155 may output sound signals to the outside of the electronic device 101. The sound output module 155 may include, for example, a speaker or a receiver. Speakers can be used for general purposes such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. According to one embodiment, the receiver may be implemented separately from the speaker or as part of it.

The display module 160 can visually provide information to the outside of the electronic device 101 (eg, a user). The display module 160 may include, for example, a display, a hologram device, or a projector, and a control circuit for controlling the device. According to one embodiment, the display module 160 may include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of force generated by the touch.

The audio module 170 can convert sound into an electrical signal or, conversely, convert an electrical signal into sound. According to one embodiment, the audio module 170 acquires sound through the input module 150, the sound output module 155, or an external electronic device (e.g., directly or wirelessly connected to the electronic device 101). Sound may be output through the electronic device 102 (e.g., speaker or headphone).

The sensor module 176 detects the operating state (e.g., power or temperature) of the electronic device 101 or the external environmental state (e.g., user state) and generates an electrical signal or data value corresponding to the detected state. can do. According to one embodiment, the sensor module 176 includes, for example, a gesture sensor, a gyro sensor, an air pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, It may include a temperature sensor, humidity sensor, or light sensor.

The interface 177 may support one or more designated protocols that can be used to connect the electronic device 101 directly or wirelessly with an external electronic device (eg, the electronic device 102). According to 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.

The connection terminal 178 may include a connector through which the electronic device 101 can be physically connected to an external electronic device (eg, the 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 (eg, a headphone connector).

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

The camera module 180 can capture still images and moving images. According to one embodiment, the camera module 180 may include one or more lenses, image sensors, image signal processors, or flashes.

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

The battery 189 may supply power to at least one component of the electronic device 101. According to one embodiment, the battery 189 may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

Communication module 190 is configured to provide a direct (e.g., wired) communication channel or wireless communication channel between electronic device 101 and an external electronic device (e.g., electronic device 102, electronic device 104, or server 108). It can support establishment and communication through established communication channels. Communication module 190 operates independently of processor 120 (e.g., an 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 be 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., : LAN (local area network) communication module, or power line communication module) may be included. Among these communication modules, the corresponding communication module is 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., legacy It may communicate with an external electronic device 104 through a telecommunication network such as a cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., LAN or WAN). These various types of communication modules may be integrated into one component (e.g., a single chip) or may be implemented as a plurality of separate components (e.g., multiple chips). The wireless communication module 192 uses subscriber information (e.g., International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 196 within a communication network such as the first network 198 or the second network 199. The electronic device 101 can be confirmed or authenticated.

The wireless communication module 192 may support 5G networks after 4G networks and next-generation communication technologies, for example, NR access technology (new radio access technology). NR access technology provides high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and access to multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low latency). -latency communications)) can be supported. The wireless communication module 192 may support high frequency bands (eg, mmWave bands), for example, to achieve high data rates. The wireless communication module 192 uses various technologies to secure performance in high frequency bands, for example, beamforming, massive array multiple-input and multiple-output (MIMO), and full-dimensional multiplexing. It can support technologies such as input/output (FD-MIMO: full dimensional MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module 192 may support various requirements specified in the electronic device 101, an external electronic device (e.g., electronic device 104), or a network system (e.g., second network 199). According to one embodiment, the wireless communication module 192 supports Peak data rate (e.g., 20 Gbps or more) for realizing eMBB, loss coverage (e.g., 164 dB or less) for realizing mmTC, or U-plane latency (e.g., 164 dB or less) for realizing URLLC. Example: Downlink (DL) and uplink (UL) each of 0.5 ms or less, or round trip 1 ms or less) can be supported.

The antenna module 197 may transmit or receive signals or power to or from the outside (eg, an external electronic device). According to one embodiment, the antenna module 197 may include an antenna including a radiator made of a conductor or a conductive pattern formed on a substrate (eg, PCB). According to one embodiment, the antenna module 197 may include a plurality of antennas (eg, 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 is connected to the plurality of antennas by, for example, the communication module 190. can be selected. Signals or power may be transmitted or received between the communication module 190 and an external electronic device through the at least one selected antenna. According to some embodiments, in addition to the radiator, other components (eg, radio frequency integrated circuit (RFIC)) may be additionally formed as part of the antenna module 197.

According to various embodiments, the antenna module 197 may form a mmWave antenna module. According to one embodiment, a mmWave antenna module includes: a printed circuit board, an RFIC disposed on or adjacent to a first side (e.g., bottom side) of the printed circuit board and capable of supporting a designated high frequency band (e.g., mmWave band); And a plurality of antennas (e.g., array antennas) disposed on or adjacent to the second side (e.g., top or side) of the printed circuit board and capable of transmitting or receiving signals in the designated high frequency band. can do.

At least some of the components are connected to each other through a communication method between peripheral devices (e.g., bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)) and signal ( (e.g. commands or data) can be exchanged with each other.

According to one embodiment, commands or data may be transmitted or received between the electronic device 101 and the external electronic device 104 through the server 108 connected to the second network 199. Each of the external electronic devices 102 or 104 may be of the same or different type as the electronic device 101. According to one embodiment, all or part of the operations performed 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 needs 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 perform the function or service instead of executing the function or service on its own. Alternatively, or additionally, one or more external electronic devices may be requested to perform at least part of the function or service. One or more external electronic devices that have received the request may execute at least part 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 part of a response to the request. For this purpose, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology can be used. The electronic device 101 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device 104 may include an Internet of Things (IoT) device. Server 108 may be an intelligent server using machine learning and/or neural networks. According to one embodiment, the external electronic device 104 or server 108 may be included in the second network 199. The electronic device 101 may be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

Figure 2 is a block diagram 200 illustrating a camera module 180 according to various embodiments of the present invention.

Referring to FIG. 2, the camera module 180 includes a lens assembly 210, a flash 220, an image sensor 230, an image stabilizer 240, a memory 250 (e.g., buffer memory), or an image signal processor. It may include (260).

The lens assembly 210 may collect light emitted from a subject that is the target of image capture. Lens assembly 210 may include one or more lenses. According to one embodiment, the camera module 180 may include a plurality of lens assemblies 210. In this case, the camera module 180 may form, for example, a dual camera, a 360-degree camera, or a spherical camera. Some of the plurality of lens assemblies 210 have the same lens properties (e.g., angle of view, focal length, autofocus, f number, or optical zoom), or at least one lens assembly is different from another lens assembly. It may have one or more lens properties that are different from the lens properties of . The lens assembly 210 may include, for example, a wide-angle lens or a telephoto lens.

The flash 220 may emit light used to enhance light emitted or reflected from a subject. According to one embodiment, the flash 220 may include one or more light emitting diodes (eg, red-green-blue (RGB) LED, white LED, infrared LED, or ultraviolet LED), or a xenon lamp.

The image sensor 230 may acquire an image corresponding to the subject by converting light emitted or reflected from the subject and transmitted through the lens assembly 210 into an electrical signal. According to one embodiment, the image sensor 230 is one image sensor selected from among image sensors with different properties, such as an RGB sensor, a BW (black and white) sensor, an IR sensor, or a UV sensor, and the same It may include a plurality of image sensors having different properties, or a plurality of image sensors having different properties. Each image sensor included in the image sensor 230 may be implemented using, for example, a charged coupled device (CCD) sensor or a complementary metal oxide semiconductor (CMOS) sensor.

The image stabilizer 240 moves at least one lens or image sensor 230 included in the lens assembly 210 in a specific direction in response to the movement of the camera module 180 or the electronic device 101 including the same. The operating characteristics of the image sensor 230 can be controlled (e.g., adjusting read-out timing, etc.). This allows to compensate for at least some of the negative effects of said movement on the image being captured. According to one embodiment, the image stabilizer 240 uses a gyro sensor (not shown) or an acceleration sensor (not shown) disposed inside or outside the camera module 180 to stabilize the camera module 180 or an electronic device ( 101), such movements can be detected. According to one embodiment, the image stabilizer 240 may be implemented as, for example, an optical image stabilizer.

The memory 250 may at least temporarily store at least a portion of the image acquired through the image sensor 230 for the next image processing task. For example, when image acquisition is delayed due to the shutter or when multiple images are acquired at high speed, the acquired original image (e.g., Bayer-patterned image or high-resolution image) is stored in the memory 250. , the corresponding copy image (e.g., low resolution image) may be previewed through the display module 160. Thereafter, when a specified condition is satisfied (eg, user input or system command), at least a portion of the original image stored in the memory 250 may be obtained and processed, for example, by the image signal processor 260. According to one embodiment, the memory 250 may be configured as at least part of the memory 130 or as a separate memory that operates independently.

The image signal processor 260 may perform one or more image processes on an image acquired through the image sensor 230 or an image stored in the memory 250. The one or more image processes may include, for example, depth map creation, three-dimensional modeling, panorama creation, feature point extraction, image compositing, or image compensation (e.g., noise reduction, resolution adjustment, brightness adjustment, blurring). may include blurring, sharpening, or softening. Additionally or alternatively, the image signal processor 260 may include at least one of the components included in the camera module 180 (e.g., an image sensor). (230)) may perform control (e.g., exposure time control, read-out timing control, etc.). The image processed by the image signal processor 260 is stored back in the memory 250 for further processing. or may be provided as an external component of the camera module 180 (e.g., memory 130, display module 160, electronic device 102, electronic device 104, or server 108). According to an example, the image signal processor 260 may be configured as at least a part of the processor 120, or may be configured as a separate processor that operates independently of the processor 120. The image signal processor 260 may be configured as the processor 120. When configured as a separate processor, at least one image processed by the image signal processor 260 may be displayed through the display module 160 as is or after additional image processing by the processor 120.

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

Electronic devices according to various embodiments disclosed in this document may be of various types. Electronic devices may include, for example, portable communication devices (e.g., smartphones), computer devices, portable multimedia devices, portable medical devices, cameras, wearable devices, or home appliances. Electronic devices according to embodiments of this document are not limited to the above-described devices.

The various embodiments of this document and the terms used herein are not intended to limit the technical features described in this document to specific embodiments, and should be understood to include various changes, equivalents, or replacements of the embodiments. In connection with the description of the drawings, similar reference numbers 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 above items, unless the relevant context clearly indicates otherwise. As used herein, “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 “A Each of phrases such as “at least one of , B, or C” may include any one of the items listed together in the corresponding phrase, or any possible combination thereof. Terms such as "first", "second", or "first" or "second" may be used simply to distinguish one component from another, and to refer to that component in other respects (e.g., importance or order) is not limited. One (e.g., first) component is said to be “coupled” or “connected” to another (e.g., second) component, with or without the terms “functionally” or “communicatively.” When mentioned, it means that any of the components can be connected to the other components directly (e.g. wired), wirelessly, or through a third component.

The term “module” used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and is interchangeable with terms such as logic, logic block, component, or circuit, for example. It can be used as A module may be an integrated part or a minimum unit of the parts or a part thereof that performs one or more functions. For example, according to one embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of the present document are one or more instructions stored in a storage medium (e.g., built-in memory 136 or external memory 138) that can be read by a machine (e.g., electronic device 101). It may be implemented as software (e.g., program 140) including these. For example, a processor (e.g., processor 120) of a device (e.g., electronic device 101) may call at least one command among one or more commands stored from a storage medium and execute it. This allows the device to be operated to perform at least one function according to the at least one instruction called. The one or more instructions may include code generated by a compiler or code that can be executed by an interpreter. A storage medium that can be read by a device may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' only means that the storage medium is a tangible device and does not contain signals (e.g. electromagnetic waves), and this term refers to cases where data is semi-permanently stored in the storage medium. There is no distinction between temporary storage cases.

According to one embodiment, methods according to various embodiments disclosed in this document may be provided and included in a computer program product. Computer program products are commodities and can be traded between sellers and buyers. The computer program product may be distributed in the form of a machine-readable storage medium (e.g. compact disc read only memory (CD-ROM)) or via an application store (e.g. Play Store ^TM ) or on two user devices (e.g. It can be distributed (e.g. downloaded or uploaded) directly between smart phones) or online. 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 a relay server.

According to various embodiments, each component (e.g., module or program) of the above-described components may include a single or plural entity, and some of the plurality of entities may be separately placed in other components. there is. According to various embodiments, one or more of the components or operations described above may be omitted, or one or more other components or operations may be added. Alternatively or additionally, multiple components (eg, modules or programs) may be integrated into a single component. In this case, the integrated component may perform one or more functions of each component of the plurality of components in the same or similar manner as those performed by the corresponding component of the plurality of components prior to the integration. . According to various embodiments, 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, or omitted. Alternatively, one or more other operations may be added.

Figure 3 is a block diagram schematically showing the configuration of an electronic device according to various embodiments of the present invention.

According to various embodiments, the electronic device 300 disclosed below may include components and embodiments described in the electronic device 101 of FIG. 1 . The electronic device 300 may include components and embodiments described with respect to the camera module 180 of FIG. 2 . In the description of the electronic device 300 disclosed below, components that are substantially the same as those in the embodiments disclosed in FIGS. 1 and 2 are assigned the same reference numerals and duplicate descriptions may be omitted.

According to various embodiments, the electronic device 300 disclosed below may be a bar-type electronic device, a rollable-type electronic device, a slideable-type electronic device, a foldable-type electronic device, a wearable-type electronic device, or a tablet PC. may include.

Referring to FIG. 3, the electronic device 300 according to various embodiments of the present invention includes an image sensor 230, a first buffer 301, a second buffer 302, a first detector 311, and a second It may include a detector 312, memory 130, display module 160, and processor 120.

According to one embodiment, the image sensor 230 may acquire at least one image (eg, frame) corresponding to an object (eg, subject). The image sensor 230 may acquire at least one image having a plurality of exposure values (eg, a first exposure value and a second exposure value) in real time. The image sensor 230 may include a sensor that supports auto exposure bracketing (AEB). Auto Exposure Bracketing (AEB) sets a first exposure value (e.g. over exposure value) one level higher and a second exposure value one level lower (e.g. under exposure value) based on the appropriate exposure value (e.g. critical exposure value) in order to produce good shooting results. At least one image for an object can be obtained using exposure value. For example, the exposure value may be brightness information of an image acquired through the image sensor 230. The exposure value may include brightness information in the range of 0 to 255, which can be expressed in 8 bits.

According to various embodiments, the image sensor 230 may detect a first object (e.g., the first image 410 of FIG. 5) for at least one first image (e.g., the first image 410 of FIG. 4) having a first exposure value. Brightness information of the object 511 (the main object) and brightness information of the second object (e.g., the second object 512 of FIG. 5, the background object) can be obtained. The image sensor 230 detects a third object (e.g., the third object 523 in FIG. 5, the main object) for at least one second image (e.g., the second image 420 in FIG. 4) with a second exposure value. ) and brightness information of a fourth object (e.g., fourth object 524 in FIG. 5, background object) can be obtained. The brightness information of the first object and the brightness information of the second object for at least one first image having the first exposure value acquired through the image sensor 230 may be stored in the memory 130. The brightness information of the third object and the brightness information of the fourth object for at least one second image with the second exposure value acquired through the image sensor 230 may be stored in the memory 130.

According to one embodiment, the first buffer 301 stores at least one first image (e.g., the first image 410 in FIG. 4) having a first exposure value acquired through the image sensor 230. You can. For example, the first exposure value may include a middle exposure value (0 EV) or a long exposure value (+ EV).

According to one embodiment, the second buffer 302 stores at least one second image (e.g., the second image 420 in FIG. 4) having a second exposure value acquired through the image sensor 230. You can. For example, the second exposure value may include a short exposure value (-EV).

According to various embodiments, the first exposure value (eg, over exposure value) may be a different exposure value from the second exposure value (eg, under exposure value). For example, the first exposure value may be brighter than the second exposure value based on the threshold. The second exposure value may be darker than the first exposure value based on the threshold. According to one embodiment, at least one first image having a first exposure value (e.g., the first image 410 in FIG. 4) includes at least one second image having a second exposure value (e.g., the second image 410 in FIG. 4). It may include an image brighter than the image 420). According to another embodiment, at least one second image having a second exposure value (e.g., the second image 420 in FIG. 4) is similar to at least one first image having a first exposure value (e.g., the first image 420 in FIG. 4). It may include an image darker than the image 410).

According to various embodiments, the first buffer 301 and the second buffer 302 may perform the embodiments described through the memory 250 shown in FIG. 2.

According to one embodiment, the first detector 311 inputs at least one first image (e.g., the first image 410 in FIG. 4) having a first exposure value temporarily stored in the first buffer 301. You can receive it.

According to one embodiment, the second detector 312 inputs at least one second image (e.g., the second image 420 in FIG. 4) having a second exposure value temporarily stored in the second buffer 302. You can receive it.

According to various embodiments, the first detector 311 and the second detector 312 may perform the embodiments described through the image signal processor 260 shown in FIG. 2.

According to one embodiment, the memory 130 may store an auto exposure algorithm for the camera module 180 including the image sensor 230. The auto exposure algorithm generates at least one first image with a first exposure value (e.g., the first image 410 in FIG. 4) and at least one second image with a second exposure value (e.g., the second image in FIG. 4 (e.g., 420)), the gain and exposure time can be stored. The memory 130 stores brightness information of a first object (e.g., the first object 511 in FIG. 5) and a second object (e.g., the second object in FIG. 5) for at least one first image having a first exposure value. A look up table related to the brightness information (512)) can be stored. The memory 130 stores brightness information of a third object (e.g., the third object 523 in FIG. 5) and a fourth object (e.g., the fourth object in FIG. 5) for at least one second image having a second exposure value. A lookup table related to brightness information (524)) can be stored.

According to various embodiments, the memory 130 stores the brightness and A histogram, which is reference data related to the brightness of a second object (eg, a background object), may be stored. The memory 130 stores the brightness of a third object (e.g., a main object) and a fourth object (e.g., a background) for at least one second image (e.g., the second image 420 of FIG. 4) with a second exposure value. A histogram, which is reference data related to the brightness of an object, can be stored. The memory 130 may store at least one instruction for processing an image of an object (eg, a subject) using a plurality of exposure values (eg, a first exposure value and a second exposure value).

According to various embodiments, the memory 130 functions to store a program for processing and control of the processor 120 of the electronic device 300 (e.g., program 140 in FIG. 1) and various input/output data. can be performed. The memory 130 may store a program that controls the overall operation of the electronic device 300. The memory 130 may store a user interface (UI) provided by the electronic device 300 and various setting information required when processing functions in the electronic device 300.

According to one embodiment, the display module 160 may display a preview image of an object acquired through the image sensor 230. The display module 160 displays a first object (e.g., the first object 511 in FIG. 5, the main object) for at least one first image (e.g., the first image 410 in FIG. 4) with a first exposure value. ), a second object (e.g., the second object 512 in FIG. 5, a background object) and/or at least one second image with a second exposure value (e.g., the second image 420 in FIG. 4) A third object (e.g., the third object 523 in FIG. 5, the main object) and a fourth object (e.g., the fourth object 524 in FIG. 5, a background object) can be displayed.

According to various embodiments, the display module 160 may perform input functions and display functions. The display module 160 may include a touch panel and a screen display unit to perform input and display functions. The touch panel may include a touch sensor such as a capacitive overlay, resistive overlay, or infrared beam, or a pressure sensor. In addition to the above sensors, the touch panel 632 may be configured with various types of sensing means capable of detecting the contact or pressure of an object (finger or stylus pen). The touch panel may detect a touch (eg, a finger or a stylus pen) of the user of the electronic device 300 and transmit the detected signal to the processor 120 . The detection signal may include at least one of coordinate information, direction information, or touch angle information at which the user of the electronic device 300 inputs a touch. The screen display unit may visually provide menus, input data, function setting information, and various information (eg, user interface, icons, and/or applications) of the electronic device 300 to the user. The screen display unit may include at least one of a liquid crystal display (LCD), an organic light emitting diode (OLED), and an active matrix organic light emitting diode (AMOLED).

According to one embodiment, the processor 120 outputs at least one first image (e.g., the first image 410 of FIG. 4) and a second image having a first exposure value output through the first detector 311. An expanded dynamic range can be implemented using at least one second image with a second exposure value output through the detector 312.

According to various embodiments, the processor 120 may determine a gain for at least one first image having a first exposure value and at least one second image having a second exposure value (e.g., the second image 420 of FIG. 4). and exposure times may be applied differently. For example, the processor 120 may adjust the gain and exposure time so that the at least one second image 420 with the second exposure value has a darker image than the at least one first image 410 with the first exposure value. there is. For example, the processor 120 may adjust the gain and exposure time so that at least one first image 410 with a first exposure value has a brighter image than at least one second image 420 with a second exposure value. there is.

According to various embodiments, the processor 120 provides brightness information of the first object 511 and the second object for at least one first image 410 having a first exposure value acquired through the image sensor 230. It can be determined whether the difference in brightness information at 512 is greater than or equal to a threshold. The processor 120 stores the brightness information of the third object 523 and the brightness information of the fourth object 524 for at least one second image 420 having a second exposure value acquired through the image sensor 230. It can be determined whether the difference is greater than or equal to a threshold value. The processor 120 includes brightness information of at least one first image 410 having a first exposure value and brightness information of at least one second image 420 having a second exposure value acquired through the image sensor 230. It can be determined whether it is above the threshold.

According to various embodiments, the processor 120 may include brightness information of at least one first image 410 having a first exposure value acquired through the image sensor 230 and at least one second image having a second exposure value ( 420) brightness information can be compared. The processor 120 may compare brightness information of the first object 511 and brightness information of the second object 512 with respect to at least one first image 410 having a first exposure value. The processor 120 may compare the brightness information of the third object 523 and the brightness information of the fourth object 524 with respect to at least one second image 420 having a second exposure value.

According to various embodiments, the processor 120 may detect and classify the first object 511 and the second object 512 for at least one first image 410 having a first exposure value. The processor 120 may detect and classify the third object 523 and the fourth object 524 for at least one second image 420 having a second exposure value.

According to various embodiments, the processor 120 includes a first object 511 and a second object 512 for at least one first image 410 having a first exposure value, and at least one object 512 having a second exposure value. The third object 523 and the fourth object 524 for the second image 420 may be blended or synthesized.

According to various embodiments, the processor 120 may control the overall operation of the electronic device 300 and signal flow between internal components, and may perform functions of processing data. The processor 120 may include, for example, a central processing unit (CPU), an application processor, and/or a communication processor. The processor 120 may be configured as a single core processor or a multi-core processor. Processor 120 may be comprised of at least one processor.

FIG. 4 is a diagram illustrating an embodiment in which detectors of an electronic device receive a plurality of exposure values according to various embodiments of the present invention.

Referring to FIG. 4, the electronic device 300 according to various embodiments of the present invention uses the image sensor 230 to display at least one first image 410 having a first exposure value for an object (e.g., a subject). and at least one second image 420 having a second exposure value. In one embodiment, the at least one first image 410 with the first exposure value is the first frame 411, the second frame 412, the third frame 413, the fourth frame 414, and the fifth frame. It may include at least one of the frame 415 or the sixth frame 416. In various embodiments, the at least one second image 420 with the second exposure value is the 7th frame 421, the 8th frame 422, the 9th frame 423, the 10th frame 424, and the 11th frame. It may include at least one of the frame 425 or the twelfth frame 426.

According to one embodiment, at least one first image 410 having a first exposure value acquired through the image sensor 230 may be temporarily stored in the first buffer 301. At least one first image 410 having a first exposure value stored in the first buffer 301 may be transmitted to the first detector 311 as input data. For example, the first exposure value may include a middle exposure value (0 EV) or a long exposure value (+ EV).

According to one embodiment, at least one second image 420 having a second exposure value acquired through the image sensor 230 may be temporarily stored in the second buffer 302. At least one second image 420 having a second exposure value stored in the second buffer 302 may be transmitted to the second detector 312 as input data. For example, the second exposure value may include a short exposure value (-EV).

According to various embodiments, the processor 120 uses an auto exposure algorithm stored in the memory 130 to display at least one first image 410 with a first exposure value and at least one second image with a second exposure value. (420) Different gains and exposure times can be applied. For example, the processor 120 may adjust the gain and exposure time so that at least one second image 420 with a second exposure value has a lower brightness than the at least one first image 410 with a first exposure value. You can. The processor 120 may adjust the second exposure value and the first exposure value to have different exposure values. For example, the brightness of the first exposure value may be brighter than the brightness of the second exposure value. The first exposure value may have a high exposure value (e.g., over exposure value) based on an appropriate exposure value (e.g., threshold exposure value), and the second exposure value may have a low exposure value (e.g., under exposure value) based on the appropriate exposure value.

According to various embodiments, the electronic device 300 according to various embodiments of the present invention may display at least one first image having a first exposure value (e.g., middle exposure value (0 EV) or long exposure value (+ EV)). By inputting and processing at least one second image 420 having 410 and a second exposure value (e.g., short exposure value (-EV)) to the first detector 311 and the second detector 312, respectively. , an expanded dynamic range can be implemented for object (e.g., subject) images.

FIG. 5 is a diagram illustrating an embodiment in which an electronic device synthesizes at least one first image with a first exposure value and at least one second image with a second exposure value according to various embodiments of the present invention.

Referring to FIG. 5, the electronic device 300 according to various embodiments of the present invention uses the image sensor 230 to display at least one first image 410 having a first exposure value and at least one image 410 having a second exposure value. One second image 420 can be acquired.

According to one embodiment, at least one first image 410 having a first exposure value acquired through the image sensor 230 is temporarily stored in the first buffer 301 and then transmitted to the first detector 311. It can be.

According to one embodiment, at least one second image 420 having a second exposure value acquired through the image sensor 230 is temporarily stored in the second buffer 302 and then transmitted to the second detector 312. It can be.

According to one embodiment, the processor 120 uses brightness information about the at least one first image 410 with the first exposure value output through the first detector 311 to detect the first object 511 (example : FACE) and the second object 512 (e.g. HUMAN BODY) can be classified. The processor 120 uses brightness information about the at least one second image 420 with the second exposure value output through the second detector 312 to detect the third object 523 (e.g., BULDING #1, BULDING #2) and the fourth object 524 (eg, SKY) can be classified.

According to one embodiment, the processor 120 includes a first object 511 and a second object 512 for at least one first image 410 having a first exposure value, and at least one object 512 having a second exposure value. The third object 523 and the fourth object 524 for the second image 420 may be blended and a composite image 530 may be generated. A composite image 530 of at least one first image 410 having a first exposure value and at least one second image 420 having a second exposure value may be displayed through the display module 160 .

FIG. 6 is a diagram illustrating an example of at least one first image having a first exposure value and at least one second image having a second exposure value output from an electronic device according to various embodiments of the present disclosure.

According to one embodiment, (a) of FIG. 6 may be a diagram illustrating an example of at least one first image 410 having a first exposure value acquired using the image sensor 230. FIG. 6 (b) may be a diagram illustrating an example of at least one second image 420 having a second exposure value acquired using the image sensor 230.

Referring to FIG. 6 , the image sensor 230 may acquire a plurality of images with different exposure values for the same object. Referring to (a) of FIG. 6, the image sensor 230 may acquire at least one first image 410 having a first exposure value. Referring to (b) of FIG. , the image sensor 230 may acquire at least one second image 420 having a second exposure value.

FIG. 7 illustrates one embodiment of classification of objects in each of at least one first image with a first exposure value and at least one second image with a second exposure value output from an electronic device according to various embodiments of the present invention. This is a drawing that represents.

According to one embodiment, (a) of FIG. 7 shows the first image 410 in at least one first image 410 having the first exposure value shown in (a) of FIG. 6, acquired using the image sensor 230. This may be a diagram illustrating an embodiment in which the object 511 (eg, main object) and the second object 512 (eg, peripheral object) are classified. FIG. 7(b) shows a third object 523 (example) in at least one second image 420 having the second exposure value shown in FIG. 6(b), obtained using the image sensor 230. : Main object) and the fourth object 524 (e.g., peripheral object) may be classified.

Referring to (a) of FIG. 7, the processor 230 uses the brightness difference for at least one first image 410 having a first exposure value acquired through the image sensor 230 to detect the first object 511. ) (e.g. FACE) and the second object 512 (e.g. HUMAN BODY) can be classified.

Referring to (b) of FIG. 7, the processor 230 uses the brightness difference for at least one second image 420 having a second exposure value acquired through the image sensor 230 to create a third object 523. ) (e.g. BULDING #1, BULDING #2) and the fourth object 524 (e.g. SKY) can be classified.

Figure 8 is a flowchart schematically showing a method in which an electronic device processes an image using a plurality of exposure values according to various embodiments of the present invention.

According to various embodiments, the embodiments disclosed in FIGS. 1 to 7 may be applied to the method of FIG. 8.

In operation 810, the processor 120 may acquire at least one first image 410 having a first exposure value and at least one second image 420 having a second exposure value using the image sensor 230. there is.

In operation 820, the processor 120 determines a first exposure value for at least one first image 410 and a second exposure value for at least one second image 420 acquired using the image sensor 230. You can.

In operation 830, the processor 120 may compare the first exposure value and the second exposure value with the threshold value stored in the memory 120 and determine whether the first exposure value and the second exposure value exceed the threshold. .

In one embodiment, the threshold may be a reference value for brightness information of at least one image acquired through the image sensor 230.

In operation 840, if the first exposure value exceeds the threshold and the second exposure value does not exceed the threshold through operation 830, the processor 120 selects at least one second image 420 having a second exposure value. Information about may be input into the second detector 312, and at least one second image 420 having the second exposure value may be processed.

In operation 850, if the first exposure value is less than the threshold through operation 830, the processor 120 sends information about the at least one first image 410 having the first exposure value to the first detector 312. At least one first image 410 that is input and has a first exposure value can be processed. In this case, information about at least one second image 420 having a second exposure value may not be input to the second detector 312.

Figure 9 is a flowchart schematically showing a method by which an electronic device uses a plurality of exposure values according to various embodiments of the present invention.

According to various embodiments, the embodiments disclosed in FIGS. 1 to 7 may be applied to the method of FIG. 9. In various embodiments, the method disclosed in FIG. 8 and the method disclosed in FIG. 9 may be applied integrated with each other.

In operation 910, the processor 120 may acquire at least one first image 410 having a first exposure value and at least one second image 420 having a second exposure value using the image sensor 230. there is.

In operation 920, the processor 120 uses brightness information for at least one first image 410 having a first exposure value obtained using the image sensor 230 to determine the first object 511 and the second object 511. (512) can be confirmed.

In operation 930, the processor 120 may determine whether the brightness difference between the first object 511 and the second object 512 exceeds a threshold.

In operation 940, if the brightness difference between the first object 511 and the second object 512 exceeds the threshold, the processor 120 generates information about at least one second image 420 having a second exposure value. It can be input to the second detector 312. In this case, information about at least one first image 410 having a first exposure value may not be input to the first detector 311. In one embodiment, at least one second image 420 having a second exposure value may include an image in which a brightness difference between the third object 523 and the fourth object 524 is less than a threshold value.

In operation 950, if the brightness difference between the first object 511 and the second object 512 is less than the threshold, the processor 120 provides information about at least one first image 410 having a first exposure value. 1 can be input to the detector 311.

FIG. 10 is a flowchart schematically illustrating a method in which an electronic device processes an image using a plurality of exposure values according to various embodiments of the present invention.

According to various embodiments, the embodiments disclosed in FIGS. 1 to 7 may be applied to the method of FIG. 10. In various embodiments, the method disclosed in FIG. 8 and the method disclosed in FIG. 9 may be applied integrated with the method disclosed in FIG. 10.

In operation 1010, the processor 120 may acquire at least one first image 410 having a first exposure value and at least one second image 420 having a second exposure value using the image sensor 230. there is.

In operation 1020, the processor 120 temporarily stores at least one first image 410 having a first exposure value acquired through the image sensor 230 in the first buffer 301, and then detects the first image 410 using the first detector 311. ) can be passed on.

In operation 1030, the processor 120 temporarily stores at least one second image 420 having a second exposure value acquired through the image sensor 230 in the second buffer 302 and then detects the second image 420 using the second detector 312. ) can be passed on.

In operation 1040, the processor 120 uses brightness information for at least one first image 410 having a first exposure value output through the first detector 311 to detect the first object 511 and the second object. (512) can be classified.

In operation 1050, the processor 120 uses brightness information about the at least one second image 420 with the second exposure value output through the second detector 312 to detect the third object 523 and the fourth object. (524) can be classified.

At operation 1060, the processor 120 generates a first object 511 and a second object 512 for at least one first image 410 having a first exposure value and at least one second object 512 having a second exposure value. The third object 523 and the fourth object 524 for the image 420 may be blended and a composite image 530 may be generated.

In various embodiments, a composite image 530 of at least one first image 410 with a first exposure value and at least one second image 420 with a second exposure value may be displayed through the display module 160. You can.

The electronic device 101, 300 according to an embodiment of the present invention includes an image sensor 230, a first detector 311 and a second detector 312, memories 130, 250, and the image sensor, the and a processor 120 operatively connected to a first detector, the second detector, and the memory, wherein the processor detects at least one first image 410 having a first exposure value using the image sensor 230. ) and acquire at least one second image 420 having a second exposure value, and confirm the first exposure value for the at least one first image and the second exposure value for the at least one second image, , Based on the threshold value stored in the memory 130, 250, determine whether the first exposure value and the second exposure value exceed the threshold value, and if the first exposure value exceeds the threshold value, If the second exposure value does not exceed the threshold, information about at least one second image 420 having the second exposure value may be input to the second detector 312.

According to one embodiment, the processor 120, when the first exposure value is less than the threshold, sends information about at least one first image 410 having the first exposure value to the first detector 311. It can be configured to enter .

According to one embodiment, the processor 120, when the first exposure value is less than the threshold, information about at least one second image 420 having the second exposure value is transmitted to the second detector 312. It can be configured not to be entered.

According to one embodiment, the image sensor 230 may include a sensor that supports auto exposure bracketing.

According to one embodiment, the electronic devices 101 and 300 include a first buffer 301 that stores at least one first image 410 having the first exposure value acquired through the image sensor 230, and It may further include a second buffer 302 that stores at least one second image 420 having the second exposure value acquired through the image sensor 230.

According to one embodiment, the first exposure value may include a middle exposure value (0 EV) or a long exposure value (+ EV), and the second exposure value may include a short exposure value (-EV).

According to one embodiment, the first exposure value may have a brighter exposure value than the second exposure value, and the second exposure value may have a darker exposure value than the first exposure value.

According to one embodiment, the processor 120 selects the first object 511 and the second object 512 based on the brightness information of at least one first image 410 having the first exposure value. It may be configured to classify the third object 523 and the fourth object 524 based on brightness information of at least one second image 420 having the second exposure value.

According to one embodiment, the processor 120 may be configured to synthesize the first object 511, the second object 512, the third object 523, and the fourth object 524. there is.

According to one embodiment, the processor 120 generates a first object 511 and a second object 512 based on brightness information about at least one first image 410 having the first exposure value. Check and determine whether the brightness difference between the first object and the second object exceeds the threshold, and if the brightness difference between the first object and the second object exceeds the threshold, It may be configured to input information about at least one second image 420 having the second exposure value into the second detector 312.

A method of processing an image according to an embodiment of the present invention includes the processor 120 using the image sensor 230 to display at least one first image 410 having a first exposure value and at least one image having a second exposure value. An operation of acquiring one second image 420, an operation of checking the first exposure value for the at least one first image and the second exposure value for the at least one second image, memories 130 and 250 Based on the threshold value stored in ), determining whether the first exposure value and the second exposure value exceed the threshold value, and the first exposure value exceeds the threshold value and the second exposure value exceeds the threshold value. If the threshold value is not exceeded, the operation of inputting information about at least one second image 420 having the second exposure value into the second detector 312 may be included.

According to one embodiment, the method includes, when the first exposure value is less than the threshold, inputting information about at least one first image 410 having the first exposure value into the first detector 311. may include.

According to one embodiment, the method is such that, when the first exposure value is less than the threshold, information about at least one second image 420 having the second exposure value is not input to the second detector 312. It may include actions that prevent it from happening.

According to one embodiment, the method includes storing at least one first image 410 having the first exposure value acquired through the image sensor 230 in a first buffer 301 and the image sensor 230. It may include storing at least one second image 420 having the second exposure value obtained through 230 in a second buffer.

According to one embodiment, the method includes classifying the first object 511 and the second object 512 based on brightness information of at least one first image 410 having the first exposure value. and classifying the third object 523 and the fourth object 524 based on brightness information of at least one second image 420 having the second exposure value.

According to one embodiment, the method may include compositing the first object, the second object, the third object, and the fourth object.

According to one embodiment, the method identifies the first object 511 and the second object 512 based on brightness information about at least one first image 410 having the first exposure value. An operation to determine whether a brightness difference between the first object and the second object exceeds the threshold, and when the brightness difference between the first object and the second object exceeds the threshold, It may include inputting information about at least one second image 420 having the second exposure value into the second detector 312.

In the above, the present invention has been described according to various embodiments of the present invention, but changes and modifications made by those skilled in the art without departing from the technical spirit of the present invention do not fall within the scope of the present invention. Of course.

300: Electronic device 120: Processor
130; Memory 160: Display module
180: Camera module 230: Image sensor
301: first buffer 302: second buffer
311: first detector 312: second detector
410: At least one first image with a first exposure value
420: At least one second image with a second exposure value

Claims (20)

In electronic devices,
image sensor;
a first detector and a second detector;
Memory; and
comprising a processor operatively coupled to the image sensor, the first detector, the second detector, and the memory,
The processor,
Obtaining at least one first image with a first exposure value and at least one second image with a second exposure value using the image sensor,
Confirming the first exposure value for the at least one first image and the second exposure value for the at least one second image,
Based on the threshold value stored in the memory, determine whether the first exposure value and the second exposure value exceed the threshold value,
If the first exposure value exceeds the threshold and the second exposure value does not exceed the threshold, input information about at least one second image with the second exposure value into the second detector. Device. According to clause 1,
The processor,
When the first exposure value is less than the threshold, the electronic device is configured to input information about at least one first image having the first exposure value into the first detector. According to clause 2,
The processor,
When the first exposure value is less than the threshold, information about at least one second image having the second exposure value is not input to the second detector. According to clause 1,
The image sensor is an electronic device including a sensor that supports auto exposure bracketing. According to clause 1,
a first buffer storing at least one first image having the first exposure value acquired through the image sensor; and
The electronic device further includes a second buffer storing at least one second image having the second exposure value obtained through the image sensor. According to clause 1,
The first exposure value includes a middle exposure value (0 EV) or a long exposure value (+ EV),
An electronic device wherein the second exposure value includes a short exposure value (-EV). According to clause 1,
The first exposure value has a brighter exposure value than the second exposure value,
The second exposure value is an electronic device having a darker exposure value than the first exposure value. According to clause 1,
The processor,
Classifying a first object and a second object based on brightness information of at least one first image having the first exposure value,
An electronic device configured to classify a third object and a fourth object based on brightness information of at least one second image having the second exposure value. According to clause 8,
The processor,
An electronic device configured to synthesize the first object, the second object, the third object, and the fourth object. According to clause 1,
The processor,
Identifying a first object and a second object based on brightness information about at least one first image having the first exposure value,
Determine whether a brightness difference between the first object and the second object exceeds the threshold,
An electronic device configured to input information about at least one second image having the second exposure value to the second detector when a difference in brightness between the first object and the second object exceeds the threshold. In the method of processing images,
Acquiring, by a processor, at least one first image having a first exposure value and at least one second image having a second exposure value using an image sensor;
confirming the first exposure value for the at least one first image and the second exposure value for the at least one second image;
Based on a threshold value stored in memory, determining whether the first exposure value and the second exposure value exceed the threshold value; and
When the first exposure value exceeds the threshold and the second exposure value does not exceed the threshold, inputting information about at least one second image having the second exposure value into a second detector. How to. According to clause 11,
When the first exposure value is less than the threshold, inputting information about at least one first image having the first exposure value into a first detector. According to clause 12,
When the first exposure value is less than the threshold, preventing information about at least one second image having the second exposure value from being input to the second detector. According to clause 11,
A method wherein the image sensor includes a sensor that supports auto exposure bracketing. According to clause 11,
storing at least one first image having the first exposure value acquired through the image sensor in a first buffer; and
A method comprising storing at least one second image having the second exposure value acquired through the image sensor in a second buffer. According to clause 11,
The first exposure value includes a middle exposure value (0 EV) or a long exposure value (+ EV),
A method wherein the second exposure value includes a short exposure value (-EV). According to clause 11,
The first exposure value has a brighter exposure value than the second exposure value,
The second exposure value has a darker exposure value than the first exposure value. According to clause 11,
Classifying a first object and a second object based on brightness information of at least one first image having the first exposure value;
A method comprising classifying a third object and a fourth object based on brightness information of at least one second image having the second exposure value. According to clause 18,
A method comprising compositing the first object, the second object, the third object, and the fourth object. According to clause 11,
identifying a first object and a second object based on brightness information about at least one first image having the first exposure value;
determining whether a brightness difference between the first object and the second object exceeds the threshold; and
When a brightness difference between the first object and the second object exceeds the threshold, inputting information about at least one second image having the second exposure value to the second detector.

Images