WO2020057199A1 - Procédé et dispositif d'imagerie, et dispositif électronique - Google Patents

Procédé et dispositif d'imagerie, et dispositif électronique Download PDF

Info

Publication number
WO2020057199A1
WO2020057199A1 PCT/CN2019/091580 CN2019091580W WO2020057199A1 WO 2020057199 A1 WO2020057199 A1 WO 2020057199A1 CN 2019091580 W CN2019091580 W CN 2019091580W WO 2020057199 A1 WO2020057199 A1 WO 2020057199A1
Authority
WO
WIPO (PCT)
Prior art keywords
image
frame
exposure
original
original image
Prior art date
Application number
PCT/CN2019/091580
Other languages
English (en)
Chinese (zh)
Inventor
李小朋
Original Assignee
Oppo广东移动通信有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Oppo广东移动通信有限公司 filed Critical Oppo广东移动通信有限公司
Publication of WO2020057199A1 publication Critical patent/WO2020057199A1/fr

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/73—Circuitry for compensating brightness variation in the scene by influencing the exposure time
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/741—Circuitry for compensating brightness variation in the scene by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors

Definitions

  • the present application relates to the technical field of mobile terminals, and in particular, to an imaging method, device, and electronic device.
  • This application is intended to solve at least one of the technical problems in the related technology.
  • this application proposes an imaging method, which is implemented by an application program.
  • the dynamic range of the acquired original image is increased, and multiple frames of the original image obtained by the exposure are synthesized to improve The quality of the image in night scene mode.
  • the present application proposes an imaging device.
  • the present application proposes an electronic device.
  • the present application proposes a computer-readable storage medium.
  • An embodiment of one aspect of the present application proposes an imaging method, which is implemented by an application program and includes:
  • An embodiment of another aspect of the present application provides an imaging device, including:
  • a control module configured to control the image sensor to perform exposure using the exposure parameter through a hardware abstraction layer HAL to obtain multiple frames of original images
  • a synthesis module configured to synthesize the multi-frame images to obtain an imaging image
  • the display module displays the imaging image.
  • An embodiment of another aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor.
  • the processor executes the program, the implementation is implemented as described above. Aspect of the imaging method.
  • Another embodiment of the present application provides a computer-readable storage medium on which a computer program is stored.
  • the program is executed by a processor, the imaging method according to the foregoing aspect is implemented.
  • the hardware sensor layer HAL controls the image sensor to use the exposure parameters for exposure to obtain multiple frames of the original image.
  • the multiple frames of the original image are synthesized to obtain the imaged image and the imaged image is displayed.
  • FIG. 1 is a schematic flowchart of an imaging method according to an embodiment of the present application.
  • FIG. 2 is a schematic flowchart of another imaging method according to an embodiment of the present application.
  • FIG. 3 is a schematic flowchart of still another imaging method according to an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of an imaging device according to an embodiment of the present application.
  • FIG. 5 is a schematic structural diagram of another imaging device according to an embodiment of the present application.
  • FIG. 6 is a schematic diagram of the internal structure of the electronic device 200 in one embodiment.
  • FIG. 7 is a schematic diagram of an image processing circuit 90 in one embodiment.
  • FIG. 1 is a schematic flowchart of an imaging method according to an embodiment of the present application.
  • the method includes the following steps:
  • step 101 photometry is performed to determine exposure parameters corresponding to multiple frames of original images.
  • the execution subject of this embodiment of the present application is an application program.
  • the exposure parameter includes one or more combinations of exposure duration, sensitivity, and exposure compensation value.
  • a user shooting operation is detected, and when a user shooting operation is detected, a reference exposure amount is determined according to the brightness information of the current preview image, and the original of each frame is determined according to the reference exposure amount and an exposure compensation value preset for each frame of the original image.
  • the target exposure of the image is determined according to the target exposure of each frame of the original image and the preset sensitivity of each frame of the original image to determine the exposure time of each frame of the original image, thereby determining the exposure parameters of the multiple frames of the original image.
  • step 102 the image sensor is controlled by the hardware abstraction layer HAL to perform exposure using exposure parameters to obtain multiple frames of original images.
  • the original image refers to an almost unprocessed image obtained directly from the image sensor CCD or CMOS, such as an original image in RAW format.
  • the original image contains more image details. Processing and processing to obtain an imaging image can make the details of the brightness and dark parts in the imaging image clearer and improve the imaging quality.
  • the application program sends a control instruction to the hardware abstraction layer HAL, so that the hardware abstraction layer HAL calls an interface function according to the control instruction, and controls the image sensor to perform exposure using the determined exposure parameters to obtain multiple frames of original images corresponding to different exposure parameters.
  • step 103 a plurality of frames of original images are synthesized to obtain an imaging image.
  • the brightness information Y of the imaged image is determined based on the luminance component of the original image superimposed on each frame, and Color component synthesis is performed on the original images stored in the queue to obtain chroma information U and density information V of the imaged image, thereby obtaining an imaged image according to the determined brightness information Y, chroma information U, and density information V of the imaged image. .
  • Step 104 Display the imaged image.
  • the synthesized imaging image is displayed.
  • it can be displayed on the display screen of an electronic device, or it can be transmitted to a computer through a USB or wireless transmission device for display.
  • photometry is used to determine exposure parameters corresponding to multiple frames of original images
  • the image sensor is controlled by the hardware abstraction layer HAL to use exposure parameters to obtain multiple frames of original images.
  • the multiple frames of original images are synthesized to obtain Imaging image, displaying the imaging image, increasing the dynamic range of the acquired original image by setting different exposure parameters of the original image, and combining multiple frames of the original image obtained by the exposure, improving the image quality of the imaging image in night mode quality.
  • an embodiment of the present application further proposes an imaging method, which further clearly explains how to determine the exposure parameters of the original image to be acquired by each frame through metering.
  • FIG. 2 is another example provided by the embodiment of the present application. A schematic flowchart of an imaging method is shown in FIG. 2. Step 101 may further include the following sub-steps:
  • Step 1011 Detect a user shooting operation.
  • the application terminal detects a user's shooting operation, where the shooting operation may be a click shooting operation or a sliding shooting operation.
  • Step 1012 When a user shooting operation is detected, a reference exposure amount is determined according to the brightness information of the current preview image.
  • the reference exposure amount is determined according to the brightness information of the preview image.
  • the photometric module in the electronic device measures the preview image corresponding to the current shooting scene. Brightness information, and convert the measured brightness information with the set lower sensitivity to determine the reference exposure and set it to EVO.
  • the sensitivity measured by the photometry module is 500iso and the exposure time It is 50 milliseconds (ms) and the target sensitivity is 100iso. After conversion, the sensitivity is 100iso, the exposure time is 250ms, and the sensitivity is 100iso, and the exposure time is 250ms as the reference exposure amount EVO.
  • EVO is not a fixed value, but a value that changes according to the brightness information of the preview image.
  • the brightness information of the preview image changes, so the reference exposure EV0 is also Changed.
  • Step 1013 Determine the target exposure of the original image in each frame according to the reference exposure and the preset exposure compensation value of the original image in each frame.
  • the preset exposure compensation value of each frame of the original image ranges from EV (-24) to EV (+12). According to the scene, the number of frames of the captured original image is set, the interval of the exposure compensation value is set, or the exposure compensation value corresponding to each frame is set. Among them, “+” means increase the exposure based on the reference exposure set by metering, and “-” means decrease the exposure. The corresponding number is the number of steps to compensate the exposure. According to the preset exposure compensation value and The reference exposure amount determines the target exposure amount of the original image to be collected for each frame.
  • the exposure compensation value of an original image frame is EV (-6)
  • the number -6 is the number of steps to compensate the exposure
  • the reference exposure amount is EVO.
  • the determined target exposure of the original image of the frame is EVO * 2 -6 , that is, EVO / 64, which reduces the brightness of the original image acquisition of the frame; if the exposure compensation value of the original image of a frame is EV (+2), the benchmark If the exposure is EVO, the target exposure of the original image of the frame is determined as EVO * 4, which is 4 times the EVO, that is, the brightness of the original image acquisition of the frame is increased. Similarly, the target of the original image for each other frame is to be acquired The method of confirming the exposure amount is the same, and will not be listed here one by one.
  • Step 1014 Determine the exposure duration of each frame of the original image according to the target exposure of each frame of the original image and the preset sensitivity of each frame of the original image.
  • the preset sensitivity of each frame of the original image is the same, and the sensitivity value ranges from 100 ISO to 200 ISO.
  • the aperture value is fixed.
  • the target exposure amount is determined by the sensitivity and the exposure time.
  • the sensitivity is determined, it corresponds to The exposure time can be determined.
  • the sensitivity IOS value and exposure duration corresponding to the reference exposure are divided into: 100iso and 250ms, the preset sensitivity of a frame of the original image is 100iso, and the preset exposure compensation value is EV (-3).
  • the target exposure duration of the acquired image is That is 32ms, which means that the exposure time is reduced.
  • the exposure compensation value is EV (+1)
  • the obtained exposure time is 500ms, which means that the exposure time is increased.
  • the exposure time of each frame of the original image can be determined.
  • the dynamic range of the original image imaging is enlarged by determining the exposure parameters corresponding to the multiple frames of the original image.
  • the hardware abstraction layer HAL is used to control the image sensor to use the exposure parameters for exposure to obtain multiple frames of the original image. Multiple frames of original images are synthesized to obtain an imaged image, and the imaged image is displayed.
  • the dynamic range of the obtained original image is increased, and multiple frames of original image obtained by exposure are synthesized. Improved image quality in night scene mode.
  • FIG. 3 is a schematic flowchart of another imaging method provided by an embodiment of the present application. As shown in FIG. 3, the method includes the following steps:
  • Step 301 Metering to determine exposure parameters corresponding to multiple frames of original images.
  • steps 1011-1014 in the embodiment corresponding to FIG. 2.
  • the principles are the same, and details are not described herein again.
  • Step 302 Set the format and image size of each frame of the original image collected by the image sensor by calling the interface between the application and the HAL.
  • an interface function mCameraDevice.createReprocessableCaptureSession between the application and the HAL can be called to set the format and image size of each frame of the original image collected by the image sensor.
  • the original image can be set RAW format, image size is 12bit or 14bit, etc.
  • step 303 the image sensor is controlled by the hardware abstraction layer HAL to use the exposure parameters to obtain the original image. For each frame of the original image, a queue created in advance by the application program is used to store a frame of the original image.
  • the hardware sensor layer HAL is used to control the image sensor to use the corresponding exposure parameters to sequentially perform exposure. Whenever the image sensor is controlled to perform one exposure to obtain one frame of the original image, Store a frame of the original image using a queue created in advance by the application.
  • Step 304 Whenever a subsequent frame of the original image is stored in the queue, the luminance component of the subsequent frame of the original image and the original image stored in the queue are superimposed, and the image obtained by superimposing the luminance component is used as an echo image.
  • the brightness component of the subsequent frame of the original image and the stored one frame of the original image are superimposed, specifically: , Superimposing the brightness components of the pixels corresponding to the two frames of the original image, and using the image obtained by superimposing the brightness components as an echo image, and then performing step 305 to perform image processing on the echo image.
  • step 305 is executed to perform image processing on the obtained echoed image.
  • the luminance component is superimposed on the original image already stored in the queue, the luminance component obtained by the superposition is acquired, and the luminance component obtained by the superposition is used as the current one obtained
  • the brightness component of the original frame image is used as the echo image, that is, the brightness component of the echo image is the superimposed brightness component.
  • step 305 the interface between the application program and the HAL is called, image processing is performed on the obtained one-frame echo image, and the processed echo image is displayed.
  • the image processing includes one or more combinations of color space conversion, noise reduction, sharpness adjustment, and color correction.
  • an interface between the application program and the HAL is called, and a processing request is sent to the HAL by calling the interface, where the processing request is used to indicate a storage location of the echoed image before image processing, and corresponding image information, where the image The information includes the image size and / or shooting parameters.
  • the HAL reads the echo image before image processing according to the storage location, and sends the echo image and corresponding image information to the image processor for image processing. Specifically, the echo image is displayed.
  • the encoder encodes the echo image, so that the echo image after the image processing is converted from the YUV space to the RGB space, so that the echo image after the image processing can be displayed on the display interface of the application program.
  • Image processing and display so that users can see the display effect of the superimposed image obtained in time The user can be informed of the shooting process. Because multiple frames of original image acquisition and processing take a certain amount of time, the user is prevented from mistakenly thinking that the shooting is stuck or not responding, which improves the user experience.
  • step 307 the acquired multiple frames of original images are synthesized to obtain an imaging image.
  • each pixel point corresponding to multiple frames of the original image is weighted by the chrominance information U to obtain the chrominance information U of the imaged image.
  • the weight information V is obtained by weight calculation.
  • the brightness information Y of the imaged image is determined according to the brightness component of the original image superimposed in each frame. Furthermore, based on the determined brightness information Y, chroma information U, and density information V of the determined imaged image, an imaged image is obtained.
  • Step 308 Display the imaged image.
  • the obtained imaging image is subjected to image processing, noise reduction, sharpness adjustment, and color correction are performed on the imaging image, and the obtained imaging image is converted from YUV space to RGB space.
  • image processing noise reduction, sharpness adjustment, and color correction are performed on the imaging image
  • the obtained imaging image is converted from YUV space to RGB space.
  • a JPEG format Imaging an image so that a display device that supports RGB display can display the imaging image.
  • the exposure parameters of the original image to be acquired are determined, so that the dynamic range is large.
  • each frame is acquired
  • the original image is stored in a queue created in advance by the application, and the brightness component of the original image collected in the next frame and the stored original image or the obtained echo image is superimposed, so that the superimposed brightness component is
  • the original image of the next frame of the brightness information is displayed, so that the user can see the effect of the original image superimposed in time, understand the shooting process, and after obtaining all the multiple original images to be collected, combine the original images to obtain the imaging.
  • the image so that the brighter part is suppressed, and the darker part is also improved in brightness and detail, which improves the dynamic range in night scene mode and improves the imaging quality.
  • the present application also proposes an imaging device.
  • FIG. 4 is a schematic structural diagram of an imaging device according to an embodiment of the present application.
  • the device includes a determination module 41, a control module 42, a synthesis module 43, and a display module 44.
  • the determining module 41 is configured to perform photometry to determine exposure parameters corresponding to multiple frames of images.
  • the control module 42 is configured to control the image sensor to use an exposure parameter to perform exposure through a hardware abstraction layer HAL to obtain multiple frames of original images.
  • a synthesizing module 43 is configured to synthesize multiple frames of images to obtain an imaging image.
  • the display module 44 displays the imaged image.
  • photometry is used to determine exposure parameters corresponding to multiple frames of original images
  • the image sensor is controlled by the hardware abstraction layer HAL to use exposure parameters to obtain multiple frames of original images.
  • Imaging image displaying the imaging image, increasing the dynamic range of the acquired original image by setting different exposure parameters of the original image, and combining multiple frames of the original image obtained by the exposure, improving the image quality of the image in night scene quality.
  • FIG. 5 is a schematic structural diagram of another imaging device provided by the embodiment of the present application. Based on the previous embodiment, The device further includes a setting module 51, a storage module 52, and a processing module 53.
  • a setting module 51 is used to set the format and image size of each frame of the original image collected by the image sensor by calling the interface between the application and the HAL.
  • the storage module 52 is configured to store a frame of the original image by using a queue created in advance by the application program each time the image sensor is controlled to perform an exposure to obtain a frame of the original image.
  • a processing module 53 is configured to superimpose the brightness components on the original images stored in the queue to obtain an echoed image and display the echoed image; whenever a subsequent original image is stored in the queue, the subsequent original image is transmitted. Superimpose the luminance component on the echo image again, and display the image obtained by superimposing the luminance component again as an echo image.
  • the processing module 53 is further configured to perform image processing on the obtained one-frame echo image by invoking an interface between the application program and the HAL whenever an one-frame echo image is obtained; image processing Including: one or more combinations of color space conversion, noise reduction, sharpness adjustment, and color correction.
  • processing module 53 is further specifically configured to:
  • a processing request is sent to the HAL, and the processing request is used to indicate the storage location of the echoed image before image processing, and the corresponding image information; wherein the image information, including the image size and / or shooting parameters, is used by the HAL according to After reading the storage location to obtain the echoed image before image processing, image processing is performed.
  • the foregoing synthesis module 43 is specifically configured to:
  • Color component synthesis is performed on the original images stored in the queue to obtain the chrominance information U and the density information V of the imaged image; the brightness information Y of the imaged image is determined according to the luminance component superimposed on the original image of each frame.
  • the foregoing determining module 41 is specifically configured to:
  • Detect user shooting operation when user shooting operation is detected, determine the reference exposure based on the current brightness information of the preview image; determine the target of each frame of the original image based on the reference exposure and the exposure compensation value preset for each frame of the original image Exposure amount; according to the target exposure amount of each frame of the original image and the preset sensitivity of each frame of the original image, determine the exposure time of each frame of the original image.
  • the exposure parameter includes one or more combinations of exposure duration, sensitivity, and exposure compensation value.
  • the preset sensitivity of the original image of each frame is the same, and the sensitivity value ranges from 100ISO to 200ISO; the preset exposure compensation value of each frame of the original image ranges from EV (-24) to EV (+12).
  • the exposure parameter of the original image to be acquired is determined by detecting the light of the current shooting environment, so that the dynamic range is large.
  • each frame is acquired
  • the original image is stored in a queue created in advance by the application, and the luminance component of the original image collected in the next frame and the stored original image and the echo image obtained are superimposed, so that the superimposed luminance component is
  • the original image of the next frame of the brightness information is displayed, so that the user can see the effect of the original image superimposed in time, understand the shooting process, and after obtaining all the multiple original images to be collected, combine the original images to obtain the imaging.
  • Image and display the imaged image, in the night scene shooting mode, based on the large dynamic range, the original image is superimposed and synthesized, so that the brighter part is suppressed, and the darker part is also brighter and more detailed. Improved to improve the shooting quality in night scene mode.
  • an embodiment of the present application further provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor.
  • the processor executes the program, The imaging method described in the foregoing method embodiment is implemented.
  • FIG. 6 is a schematic diagram of the internal structure of the electronic device 200 in one embodiment.
  • the electronic device 200 includes a processor 60, a memory 50 (for example, a non-volatile storage medium), an internal memory 82, a display screen 83, and an input device 84 connected through a system bus 81.
  • the memory 50 of the electronic device 200 stores an operating system and computer-readable instructions.
  • the computer-readable instructions can be executed by the processor 60 to implement the control method in the embodiment of the present application.
  • the processor 60 is used to provide computing and control capabilities to support the operation of the entire electronic device 200.
  • the internal memory 50 of the electronic device 200 provides an environment for execution of computer-readable instructions in the memory 52.
  • the display screen 83 of the electronic device 200 may be a liquid crystal display or an electronic ink display, and the input device 84 may be a touch layer covered on the display screen 83, or may be a button, a trackball or a touch button provided on the housing of the electronic device 200 Board, which can also be an external keyboard, trackpad, or mouse.
  • the electronic device 200 may be a mobile phone, a tablet computer, a notebook computer, a personal digital assistant, or a wearable device (for example, a smart bracelet, a smart watch, a smart helmet, or smart glasses).
  • FIG. 6 is only a schematic diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the electronic device 200 to which the solution of the present application is applied.
  • the specific electronic device 200 may include more or fewer components than shown in the figure, or some components may be combined, or have different component arrangements.
  • the electronic device 200 includes an image processing circuit 90.
  • the image processing circuit 90 may be implemented by using hardware and / or software components, including various types of defining an ISP (Image Signal Processing) pipeline. Processing unit.
  • FIG. 7 is a schematic diagram of an image processing circuit 90 in one embodiment. As shown in FIG. 7, for ease of description, only aspects of the image processing technology related to the embodiments of the present application are shown.
  • the image processing circuit 90 includes an ISP processor 91 (the ISP processor 91 may be the processor 60) and a control logic 92.
  • the image data captured by the camera 93 is first processed by the ISP processor 91.
  • the ISP processor 91 analyzes the image data to capture image statistical information that can be used to determine one or more control parameters of the camera 93.
  • the camera 93 may include one or more lenses 932 and an image sensor 934.
  • the image sensor 934 may include a color filter array (such as a Bayer filter). The image sensor 934 may obtain light intensity and wavelength information captured by each imaging pixel, and provide a set of raw image data that can be processed by the ISP processor 91.
  • the sensor 94 (such as a gyroscope) may provide parameters (such as image stabilization parameters) of the acquired image processing to the ISP processor 91 based on the interface type of the sensor 94.
  • the sensor 94 interface may be a SMIA (Standard Mobile Imaging Architecture) interface, other serial or parallel camera interfaces, or a combination of the foregoing interfaces.
  • the image sensor 934 may also send the original image data to the sensor 94.
  • the sensor 94 may provide the original image data to the ISP processor 91 based on the interface type of the sensor 94, or the sensor 94 stores the original image data into the image memory 95.
  • the ISP processor 91 processes the original image data pixel by pixel in a variety of formats. For example, each image pixel may have a bit depth of 8, 10, 12, or 14 bits, and the ISP processor 91 may perform one or more image processing operations on the original image data and collect statistical information about the image data. The image processing operations may be performed with the same or different bit depth accuracy.
  • the ISP processor 91 may also receive image data from the image memory 95.
  • the sensor 94 interface sends the original image data to the image memory 95, and the original image data in the image memory 95 is then provided to the ISP processor 91 for processing.
  • the image memory 95 may be an independent dedicated memory in the memory 50, a part of the memory 50, a storage device, or an electronic device, and may include a DMA (Direct Memory Access) feature.
  • DMA Direct Memory Access
  • the ISP processor 91 may perform one or more image processing operations, such as time-domain filtering.
  • the processed image data may be sent to the image memory 95 for further processing before being displayed.
  • the ISP processor 91 receives processing data from the image memory 95, and performs processing on the image data in the original domain and in the RGB and YCbCr color spaces.
  • the image data processed by the ISP processor 91 may be output to a display 97 (the display 97 may include a display 83) for viewing by a user and / or further processing by a graphics engine or GPU (Graphics Processing Unit).
  • the output of the ISP processor 91 can also be sent to the image memory 95, and the display 97 can read image data from the image memory 95.
  • the image memory 95 may be configured to implement one or more frame buffers.
  • the output of the ISP processor 91 may be sent to an encoder / decoder 96 to encode / decode image data.
  • the encoded image data can be saved and decompressed before being displayed on the display 97 device.
  • the encoder / decoder 96 may be implemented by a CPU or a GPU or a coprocessor.
  • the statistical data determined by the ISP processor 91 may be sent to the control logic unit 92.
  • the statistical data may include image sensor 934 statistical information such as auto exposure, auto white balance, auto focus, flicker detection, black level compensation, and lens 932 shading correction.
  • the control logic 92 may include a processing element and / or a microcontroller that executes one or more routines (such as firmware). The one or more routines may determine the control parameters of the camera 93 and the ISP processor according to the received statistical data. 91 control parameters.
  • control parameters of the camera 93 may include sensor 94 control parameters (such as gain, integration time for exposure control, anti-shake parameters, etc.), camera flash control parameters, lens 932 control parameters (such as focus distance for focusing or zooming), or these parameters The combination.
  • the ISP control parameters may include gain levels and color correction matrices for automatic white balance and color adjustment (eg, during RGB processing), and lens 932 shading correction parameters.
  • the following are the steps for implementing the imaging method by using the processor 60 in FIG. 6 or the image processing circuit 90 (specifically, the ISP processor 91) in FIG. 7:
  • the image sensor is controlled by the hardware abstraction layer HAL to perform exposure using the exposure parameters to obtain multiple frames of original images;
  • an embodiment of the present application further provides a computer-readable storage medium on which a computer program is stored.
  • a computer program When instructions in the storage medium are executed by a processor, the implementation is implemented as in the foregoing method embodiment.
  • first and second are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as “first” and “second” may explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "a plurality” is at least two, for example, two, three, etc., unless it is specifically and specifically defined otherwise.
  • Any process or method description in a flowchart or otherwise described herein can be understood as representing a module, fragment, or portion of code that includes one or more executable instructions for implementing steps of a custom logic function or process
  • the scope of the preferred embodiments of this application includes additional implementations in which the functions may be performed out of the order shown or discussed, including performing the functions in a substantially simultaneous manner or in the reverse order according to the functions involved, which should It is understood by those skilled in the art to which the embodiments of the present application pertain.
  • Logic and / or steps represented in a flowchart or otherwise described herein, for example, a sequenced list of executable instructions that may be considered to implement a logical function, may be embodied in any computer-readable medium, For use by, or in combination with, an instruction execution system, device, or device (such as a computer-based system, a system that includes a processor, or another system that can fetch and execute instructions from an instruction execution system, device, or device) Or equipment.
  • a "computer-readable medium” may be any device that can contain, store, communicate, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device.
  • computer-readable media include the following: electrical connections (electronic devices) with one or more wirings, portable computer disk cartridges (magnetic devices), random access memory (RAM), Read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disk read-only memory (CDROM).
  • the computer-readable medium may even be paper or other suitable medium on which the program can be printed, because, for example, by optically scanning the paper or other medium, followed by editing, interpretation, or other suitable Processing to obtain the program electronically and then store it in computer memory.
  • each part of the application may be implemented by hardware, software, firmware, or a combination thereof.
  • multiple steps or methods may be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system.
  • Discrete logic circuits with logic gates for implementing logic functions on data signals Logic circuits, ASICs with suitable combinational logic gate circuits, programmable gate arrays (PGA), field programmable gate arrays (FPGA), etc.
  • a person of ordinary skill in the art can understand that all or part of the steps carried by the methods in the foregoing embodiments can be implemented by a program instructing related hardware.
  • the program can be stored in a computer-readable storage medium.
  • the program is When executed, one or a combination of the steps of the method embodiment is included.
  • each functional unit in each embodiment of the present application may be integrated into one processing module, or each unit may exist separately physically, or two or more units may be integrated into one module.
  • the above integrated modules may be implemented in the form of hardware or software functional modules. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.
  • the aforementioned storage medium may be a read-only memory, a magnetic disk, or an optical disk.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Studio Devices (AREA)
  • Image Processing (AREA)

Abstract

La présente invention concerne le domaine technique des terminaux mobiles, et concerne ainsi un procédé et un dispositif d'imagerie et un dispositif électronique. Le procédé est mis en œuvre par un programme d'application et comprend : la réalisation d'une photométrie, de façon à déterminer des paramètres d'exposition correspondant à une pluralité d'images originales ; la commande d'un capteur d'image au moyen d'une couche d'abstraction matérielle (HAL) pour effectuer une exposition à l'aide des paramètres d'exposition de façon à obtenir la pluralité d'images originales ; la synthèse de la pluralité d'images originales de façon à obtenir une image d'imagerie ; et l'affichage de l'image d'imagerie. Différents paramètres d'exposition des images originales sont ainsi définis, de sorte que la plage dynamique des images originales acquises est augmentée. La pluralité d'images originales qui sont obtenues par exposition sont synthétisées et, par conséquent, la qualité de l'image d'imagerie dans un mode de scène nocturne est améliorée et le problème technique de la mauvaise qualité d'imagerie dans un mode de photographie de scène nocturne dans la technologie existante est résolu.
PCT/CN2019/091580 2018-09-20 2019-06-17 Procédé et dispositif d'imagerie, et dispositif électronique WO2020057199A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201811117586.4A CN108833804A (zh) 2018-09-20 2018-09-20 成像方法、装置和电子设备
CN201811117586.4 2018-09-20

Publications (1)

Publication Number Publication Date
WO2020057199A1 true WO2020057199A1 (fr) 2020-03-26

Family

ID=64149914

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2019/091580 WO2020057199A1 (fr) 2018-09-20 2019-06-17 Procédé et dispositif d'imagerie, et dispositif électronique

Country Status (2)

Country Link
CN (1) CN108833804A (fr)
WO (1) WO2020057199A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113191994A (zh) * 2021-04-26 2021-07-30 北京小米移动软件有限公司 图像处理方法、装置及存储介质
CN116723409A (zh) * 2022-02-28 2023-09-08 荣耀终端有限公司 自动曝光方法与电子设备

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108833804A (zh) * 2018-09-20 2018-11-16 Oppo广东移动通信有限公司 成像方法、装置和电子设备
CN109348089B (zh) * 2018-11-22 2020-05-22 Oppo广东移动通信有限公司 夜景图像处理方法、装置、电子设备及存储介质
CN109660743B (zh) * 2018-12-21 2021-06-08 南京理工大学 一种制冷型红外热像仪高动态范围成像的实现方法
CN109963083B (zh) 2019-04-10 2021-09-24 Oppo广东移动通信有限公司 图像处理器、图像处理方法、拍摄装置和电子设备
CN110213484B (zh) * 2019-05-31 2021-03-12 维沃移动通信有限公司 一种拍照方法、终端设备及计算机可读存储介质
CN110677557B (zh) * 2019-10-28 2022-04-22 Oppo广东移动通信有限公司 图像处理方法、装置、存储介质及电子设备
CN110958399B (zh) * 2019-12-09 2021-06-29 Oppo广东移动通信有限公司 高动态范围图像hdr实现方法及相关产品
CN111193869B (zh) * 2020-01-09 2021-08-06 Oppo广东移动通信有限公司 一种图像数据处理方法、图像数据处理装置及移动终端
CN111225153B (zh) * 2020-01-21 2021-08-06 Oppo广东移动通信有限公司 一种图像数据处理方法、图像数据处理装置及移动终端
CN114125316B (zh) * 2021-11-27 2024-04-05 深圳市天启时代科技有限公司 一种远程图像处理方法以及系统
CN116389898B (zh) * 2023-02-27 2024-03-19 荣耀终端有限公司 图像处理方法、设备及存储介质
CN116260920B (zh) * 2023-05-09 2023-07-25 深圳市谨讯科技有限公司 多数据混合控制方法、装置、设备及存储介质

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102761695A (zh) * 2011-04-28 2012-10-31 佳能株式会社 摄像设备及其控制方法
CN107197169A (zh) * 2017-06-22 2017-09-22 维沃移动通信有限公司 一种高动态范围图像拍摄方法及移动终端
CN107241557A (zh) * 2017-06-16 2017-10-10 广东欧珀移动通信有限公司 图像曝光方法、装置、摄像设备及存储介质
US20170310903A1 (en) * 2015-05-22 2017-10-26 Samsung Electronics Co., Ltd. Image capturing apparatus and method of controlling the same
CN107358593A (zh) * 2017-06-16 2017-11-17 广东欧珀移动通信有限公司 成像方法和装置
CN108833804A (zh) * 2018-09-20 2018-11-16 Oppo广东移动通信有限公司 成像方法、装置和电子设备

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TWI536830B (zh) * 2014-03-10 2016-06-01 Nat Univ Chung Cheng Measuring an exposure parameter art high dynamic range image generating method
CN106775902A (zh) * 2017-01-25 2017-05-31 北京奇虎科技有限公司 一种图像处理的方法和装置、移动终端
CN109040609B (zh) * 2018-08-22 2021-04-09 Oppo广东移动通信有限公司 曝光控制方法、装置、电子设备和计算机可读存储介质

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102761695A (zh) * 2011-04-28 2012-10-31 佳能株式会社 摄像设备及其控制方法
US20170310903A1 (en) * 2015-05-22 2017-10-26 Samsung Electronics Co., Ltd. Image capturing apparatus and method of controlling the same
CN107241557A (zh) * 2017-06-16 2017-10-10 广东欧珀移动通信有限公司 图像曝光方法、装置、摄像设备及存储介质
CN107358593A (zh) * 2017-06-16 2017-11-17 广东欧珀移动通信有限公司 成像方法和装置
CN107197169A (zh) * 2017-06-22 2017-09-22 维沃移动通信有限公司 一种高动态范围图像拍摄方法及移动终端
CN108833804A (zh) * 2018-09-20 2018-11-16 Oppo广东移动通信有限公司 成像方法、装置和电子设备

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113191994A (zh) * 2021-04-26 2021-07-30 北京小米移动软件有限公司 图像处理方法、装置及存储介质
CN113191994B (zh) * 2021-04-26 2023-11-21 北京小米移动软件有限公司 图像处理方法、装置及存储介质
CN116723409A (zh) * 2022-02-28 2023-09-08 荣耀终端有限公司 自动曝光方法与电子设备
CN116723409B (zh) * 2022-02-28 2024-05-24 荣耀终端有限公司 自动曝光方法与电子设备

Also Published As

Publication number Publication date
CN108833804A (zh) 2018-11-16

Similar Documents

Publication Publication Date Title
WO2020057199A1 (fr) Procédé et dispositif d'imagerie, et dispositif électronique
WO2020038069A1 (fr) Procédé et dispositif de commande d'exposition, et appareil électronique
US11228720B2 (en) Method for imaging controlling, electronic device, and non-transitory computer-readable storage medium
US11582400B2 (en) Method of image processing based on plurality of frames of images, electronic device, and storage medium
CN108683862B (zh) 成像控制方法、装置、电子设备及计算机可读存储介质
WO2020038072A1 (fr) Procédé et dispositif de contrôle d'exposition, et dispositif électronique
CN109005364B (zh) 成像控制方法、装置、电子设备以及计算机可读存储介质
WO2020029732A1 (fr) Procédé et appareil de photographie panoramique, et dispositif d'imagerie
CN108322669B (zh) 图像获取方法及装置、成像装置和可读存储介质
CN109788207B (zh) 图像合成方法、装置、电子设备及可读存储介质
CN110072052B (zh) 基于多帧图像的图像处理方法、装置、电子设备
CN110248106B (zh) 图像降噪方法、装置、电子设备以及存储介质
WO2020038087A1 (fr) Procédé et appareil de commande photographique dans un mode de scène de super nuit et dispositif électronique
CN110213502B (zh) 图像处理方法、装置、存储介质及电子设备
WO2020207261A1 (fr) Procédé et appareil de traitement d'images basés sur de multiples trames d'images, et dispositif électronique
CN109672819B (zh) 图像处理方法、装置、电子设备及计算机可读存储介质
US11490024B2 (en) Method for imaging controlling, electronic device, and non-transitory computer-readable storage medium
CN108833802B (zh) 曝光控制方法、装置和电子设备
US11601600B2 (en) Control method and electronic device
WO2020034702A1 (fr) Procédé de commande, dispositif, équipement électronique et support d'informations lisible par ordinateur
CN109167930A (zh) 图像显示方法、装置、电子设备和计算机可读存储介质
WO2020029679A1 (fr) Procédé et appareil de commande, dispositif d'imagerie, dispositif électronique et support de stockage lisible
CN109194855A (zh) 成像方法、装置和电子设备
US11503223B2 (en) Method for image-processing and electronic device
CN109756680B (zh) 图像合成方法、装置、电子设备及可读存储介质

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19863814

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 19863814

Country of ref document: EP

Kind code of ref document: A1