WO2022067489A1 - Procédé et appareil de traitement d'images et dispositif de collecte d'images - Google Patents

Procédé et appareil de traitement d'images et dispositif de collecte d'images Download PDF

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Publication number
WO2022067489A1
WO2022067489A1 PCT/CN2020/118784 CN2020118784W WO2022067489A1 WO 2022067489 A1 WO2022067489 A1 WO 2022067489A1 CN 2020118784 W CN2020118784 W CN 2020118784W WO 2022067489 A1 WO2022067489 A1 WO 2022067489A1
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Prior art keywords
image
processing
local enhancement
mapping matrix
local
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PCT/CN2020/118784
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English (en)
Chinese (zh)
Inventor
何健
曾志豪
邵明
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深圳市大疆创新科技有限公司
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Priority to PCT/CN2020/118784 priority Critical patent/WO2022067489A1/fr
Publication of WO2022067489A1 publication Critical patent/WO2022067489A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20021—Dividing image into blocks, subimages or windows

Definitions

  • the present application relates to the technical field of image processing, and in particular, to an image processing method, an apparatus, and an image acquisition device.
  • an image processing chip will be used to perform a series of processing on the image, such as noise reduction, lens shadow correction, white balance adjustment, sharpening, and local enhancement.
  • the resolution of the collected image is getting higher and higher, and there may be a scene where the resolution of the image exceeds the upper limit of the processing bandwidth of the image processing chip. Therefore, it is necessary to first divide the image into multiple After framing the sub-images, the image processing chip is used to process the multiple sub-images respectively, and then the processed sub-images are synthesized to obtain the target image processed by the image processing chip.
  • the image is locally enhanced, resulting in obvious stitching defects in the final synthesized image, which seriously affects the display effect of the image.
  • the present application provides an image processing method, device and image acquisition device.
  • an image processing method comprising:
  • the local enhancement mapping matrix being used to describe the difference between the downsampled image that has undergone local enhancement processing and the downsampled image that has not undergone local enhancement processing;
  • a target image is obtained by performing local enhancement processing on the second image based on the local enhancement mapping matrix.
  • an image processing apparatus includes a processor, a memory, and a computer program stored in the memory for execution by the processor, when the processor executes the computer program , implement the following steps:
  • the local enhancement mapping matrix being used to describe the difference between the downsampled image that has undergone local enhancement processing and the downsampled image that has not undergone local enhancement processing;
  • a target image is obtained by performing local enhancement processing on the second image based on the local enhancement mapping matrix.
  • an image acquisition device includes an image sensor and the image processing apparatus described in the second aspect above.
  • a computer-readable storage medium on which computer program instructions are stored.
  • the instructions are executed by a processor, the image processing method mentioned in the first aspect can be implemented.
  • the first image to be processed can be down-sampled, so that the down-sampled image obtained by the down-sampling process meets the processing bandwidth requirements of the image processing chip, and then the down-sampled image is used to determine the image used to describe the local enhancement processing.
  • the multiple sub-images obtained by dividing the first image can be processed separately except for local enhancement processing, and a second image can be synthesized by using the processed multiple sub-images, and then the second image can be processed by using the local enhancement mapping matrix. Local enhancement processing to obtain the target image.
  • FIG. 1 is a schematic diagram of dividing an image into multi-frame sub-images and then processing them by an image processing chip according to an embodiment of the present application.
  • FIG. 2 is an image effect diagram obtained by dividing an image into multi-frame sub-images and then processing them by an image processing chip when the local enhancement processing function is enabled in an embodiment of the present application.
  • FIG. 3( a ) is a flowchart of an image processing method according to an embodiment of the present application.
  • FIG. 3(b) is a schematic diagram of an image processing method according to an embodiment of the present application.
  • FIG. 4(a) and FIG. 4(b) are schematic diagrams of determining a local enhancement mapping matrix according to an embodiment of the present application.
  • 5 and 6 are schematic diagrams of obtaining a target image according to a local enhancement mapping matrix and a second image according to an embodiment of the present application.
  • FIG. 7 is a schematic diagram of an image processing method according to an embodiment of the present application.
  • FIG. 8 is a schematic diagram of a logical structure of an image processing apparatus according to an embodiment of the present application
  • FIG. 9 is a schematic diagram of a logical structure of an image acquisition device according to an embodiment of the present application.
  • a series of processes such as noise reduction, lens shadow correction, white balance adjustment, sharpening, and local enhancement are usually performed on the image to improve the display effect of the image.
  • the above series of image processing can be implemented by using an image processing chip (such as an ISP chip) that integrates the above functions.
  • each functional module can perform one kind of processing on the image.
  • the local enhancement processing module can perform local enhancement processing on the image to increase the contrast of the image.
  • the function of each functional module can be set to be turned on or off. For example, if the local enhancement processing function is turned on, the image processing The chip will perform local enhancement processing on the image, and if the local enhancement processing function is turned off, the image processing chip will not perform the local enhancement processing function, but only perform the processing functions of other enabled functional modules.
  • the present application provides an image processing method, which can divide an image into multiple sub-images and then use an image processing chip to process the image, so that the image processing chip can process a resolution higher than its processing bandwidth.
  • an image processing method which can divide an image into multiple sub-images and then use an image processing chip to process the image, so that the image processing chip can process a resolution higher than its processing bandwidth.
  • it can also avoid the problem that the image cannot be locally enhanced because the image needs to be divided into multiple sub-frames and then processed by the image processing chip, or the image has obvious defects after the local enhancement processing.
  • the image processing methods in the embodiments of the present application are applicable to various devices that can perform local enhancement processing and other image processing on images, and other image processing includes one or more of noise reduction, white balance adjustment, shadow correction, and sharpening.
  • the device can be a camera, a mobile phone, or other device with an image acquisition function, and the above-mentioned processing can be performed on the image after the image is acquired.
  • the device may also be a device that only has an image processing function, and the device obtains the captured image from the image capturing device and then performs the above-mentioned processing.
  • the device may include an image processing chip configured with the above image processing functions.
  • the image processing chip may be an ISP chip, and the image processing chip can perform local enhancement, noise reduction, and white balance on the image.
  • One or more processing such as adjustment, shadow correction, sharpening, etc.
  • the image processing methods in the embodiments of the present application may be used to process various images, for example, visible light images, infrared images, or other images, which are not limited in this application.
  • FIG. 3(a) The flow of the method is shown in FIG. 3(a), including the following steps:
  • S304 Determine a local enhancement mapping matrix based on the downsampled image, where the local enhancement mapping matrix is used to describe the difference between the downsampled image that has undergone local enhancement processing and the downsampled image that has not undergone local enhancement processing;
  • the first image after acquiring the image to be processed (hereinafter, the images to be processed are collectively referred to as the first image), the first image can be processed.
  • Down-sampling processing to obtain down-sampled images.
  • the purpose of the downsampling is to reduce the resolution of the first image so that it meets the upper limit of the processing bandwidth of the image processing chip (the resolution of the downsampled image is lower than the upper limit of the resolution of the image that the image processing chip can process). ), so that the image processing chip can be directly used to perform local enhancement processing on the down-sampled image.
  • a local enhancement mapping matrix can be determined using the downsampled image, wherein the local enhancement mapping matrix can be used to describe the difference between the downsampled image that has undergone local enhancement processing and the downsampled image that has not undergone local enhancement processing.
  • the number of rows and columns of the local enhancement mapping matrix can be consistent with the number of rows and columns of the downsampled image, and the value of each element of the local enhancement mapping matrix can be used to describe the downsampled image that has undergone local enhancement processing and the image that has not undergone local enhancement.
  • the first image can be divided to obtain multiple sub-images.
  • the purpose of dividing the first image to obtain multiple sub-images is to reduce the resolution of the image so as to meet the processing bandwidth requirement of the image processing chip.
  • it can be divided into multiple sub-images with the same size, or can be divided into multiple sub-images with different sizes, and the multiple sub-images obtained by division may have a partial overlapping area or may not The overlapping area is not limited in this embodiment of the present application.
  • the sub-images obtained by division may include partially overlapping regions.
  • image processing other than local enhancement processing can be performed on the image.
  • the image processing can be any of noise reduction, camera shadow correction, white balance adjustment, sharpening, and global enhancement processing one or more treatments.
  • the second image is obtained by synthesis, and the second image obtained by synthesis in this way can realize image effects other than local enhancement processing.
  • the local enhancement mapping matrix may be used to perform local enhancement processing on the second image to obtain the target image.
  • the image resolution Since the image resolution has a great influence on the processing effects of other image processing such as noise reduction and white balance, it can be divided into multiple sub-images and processed by the image processing chip, and then synthesized to obtain a second image, while the image resolution
  • the effect of the local enhancement processing is small, so the image processing chip can be used to perform local enhancement processing on the down-sampled image to determine the local enhancement mapping matrix, and then use the local enhancement mapping matrix to guide the local enhancement processing of the second image.
  • the target image processed in the above manner can not only have the effect of being processed by all functional modules of the image processing chip, but also will not have the problem of splicing defects.
  • Step S302 may be executed before step S306, or after step S306, or step S302 and step S306 may be executed simultaneously.
  • the resolution of the first image is lower than the upper limit of the resolution of the image that can be processed by the image processing chip, it is not necessary to divide the image into multiple sub-images, and then use the image processing chip to process, so the whole image can be processed by the image processing chip.
  • the image is input to the image processing chip to complete all image processing such as local enhancement, noise reduction, camera shadow correction, white balance adjustment, sharpening, etc., and there is no problem of stitching defects.
  • the image processing chip Before using the above image processing method to process the first image, it may be determined whether the resolution of the first image is higher than the specified resolution, and if it is higher, the above-mentioned down-sampling of the first image is performed. processing steps. If not higher, the first image can be directly input to the image processing chip to complete all image processing.
  • the specified resolution may be determined according to the processing bandwidth of the image processing chip. For example, the specified resolution may be the maximum resolution of an image that the image processing chip can process, or a resolution obtained by subtracting a certain buffer threshold from the maximum resolution.
  • the down-sampled image when the local enhancement mapping matrix is determined by the down-sampled image, the down-sampled image may be subjected to local enhancement processing and other image processing except the local enhancement processing to obtain the first Four images, and then other image processing except local enhancement processing is performed on only the down-sampled image to obtain a fifth image.
  • the local enhancement mapping matrix can then be determined from the difference between the fourth image and the fifth image.
  • the local enhancement mapping matrix when the local enhancement mapping matrix is determined according to the difference between the fourth image and the fifth image, the local enhancement mapping matrix may be obtained by dividing the fourth image and the fifth image. For example, the pixel value of the first row and first column of the fourth image can be divided by the pixel value of the first row and first column of the fifth image, and the obtained value is the element corresponding to the first row and first column of the local enhancement mapping matrix. The value of , and so on, can determine the local enhancement mapping matrix.
  • the local enhancement mapping matrix when the local enhancement mapping matrix is determined according to the difference between the fourth image and the fifth image, the local enhancement mapping matrix may be obtained by performing a subtraction operation on the fourth image and the fifth image. For example, the pixel value of the first row and first column of the fourth image can be subtracted from the pixel value of the first row and first column of the fifth image, and the obtained value is the element corresponding to the first row and first column of the local enhancement mapping matrix. The value of , and so on, can determine the local enhancement mapping matrix.
  • the local enhancement mapping matrix is determined according to the downsampled image
  • the downsampled image is subjected to local enhancement processing and other image processing except the local enhancement processing
  • a fourth image is obtained, and then the downsampled image is divided into
  • the downsampled image is divided into
  • the down-sampled image can also be subjected to local enhancement processing to obtain a sixth image, and then the local enhancement mapping matrix can be directly determined according to the difference between the sixth image and the down-sampled image .
  • the processing process of one frame of image can be saved, the overhead of image processing can be saved, and the efficiency of image processing can be improved.
  • the local enhancement mapping matrix when the local enhancement mapping matrix is determined according to the sixth image and the down-sampled image, the local enhancement mapping matrix may also be obtained by performing division, subtraction, or other operations on the two images. The description in the five-image determination of the local enhancement mapping matrix will not be repeated here.
  • the above-mentioned down-sampled image may not be used.
  • an image that is similar to the first image scene and whose resolution meets the processing bandwidth requirement of the image processing chip can be determined from a database containing a large number of various images, and then a description can be determined according to the image to describe the image that has undergone local enhancement processing and has not been processed.
  • the local enhancement mapping matrix of the difference after the local enhancement processing is used to guide the local enhancement processing on the second image.
  • local enhancement mapping matrices corresponding to images in different scenarios can also be simulated according to a large number of images, and before the first image to be processed is processed, a local enhancement matching the first image can be determined. mapping matrix, and then use the local enhancement mapping matrix to guide the local enhancement processing of the second image.
  • the local enhancement mapping matrix when the target image is obtained by performing local enhancement processing on the second image according to the local enhancement mapping matrix, the local enhancement mapping matrix may be upsampled first, so that the rows of the local enhancement mapping matrix The number and the number of columns are consistent with the number of rows and columns of the second image, and then the up-sampled local enhancement mapping matrix is used to perform local enhancement processing on the second image to obtain the target image.
  • the up-sampled local enhancement mapping matrix and the second image may be used to perform some specific operations to obtain the target image.
  • the size of the local enhancement mapping matrix is half of the size of the second image, assuming that the local enhancement mapping matrix is a matrix of size 2*2, the size of the second image is 4*4 pixels, for the first row in the second image
  • the parameters of the first row and the first column and the parameters of the first row and the second column in the local enhancement mapping matrix can be obtained, and then multiplied by the corresponding weights 3/4 respectively. , 1/4, calculate the weighted parameters, and then use the weighted parameters to calculate the new pixel value of the pixel point as the pixel value of the pixel point at the corresponding pixel position of the target image.
  • the up-sampling local enhancement mapping matrix may be multiplied with the second image to obtain the target image.
  • the value of the first row, first column of the up-sampling local enhancement mapping matrix can be multiplied by the pixel value of the first row and first column of the second image, and the obtained value is the first row of the target image.
  • the pixel value of the pixel point in the first column of the row, and so on, can determine the target image.
  • the up-sampling local enhancement mapping matrix may be added to the second image to obtain the target image.
  • the value of the first row and first column of the up-sampling local enhancement mapping matrix can be added to the pixel value of the first row and first column of the second image, and the obtained value is the first row of the target image.
  • the pixel value of the pixel point in the first column of the row, and so on, can determine the target image.
  • the above is just an example of determining the target image by operating the local enhancement mapping matrix and the second image through a relatively simple algorithm.
  • the local enhancement mapping matrix and the second image can be adjusted according to the algorithm for determining the local mapping matrix to obtain the target image.
  • the algorithm of the image is not limited here.
  • the high-frequency components and the low-frequency components of the second image can be determined first, wherein the high-frequency components and the low-frequency components can be pre-designed
  • the high-frequency component refers to the part of the image where the pixel value changes drastically, that is, the detail part in the image, such as the contour edge of the object in the image
  • the low-frequency component refers to the pixel value in the image.
  • a local enhancement mapping matrix may be used to perform local enhancement processing on the low-frequency components of the second image to obtain a third image.
  • the specific implementation details of using the local enhancement mapping matrix to perform the local enhancement processing on the low-frequency components can refer to the above description of the local enhancement processing on the second image using the local enhancement mapping matrix, which will not be repeated here.
  • the third image and the high-frequency components may be fused, for example, by superimposing the third image and the high-frequency components to obtain the target image. In this way, while the local enhancement is performed on the second image, the details of the second image can also be well preserved.
  • the reason for using the image processing chip for processing may be because the resolution of the first image exceeds the processing bandwidth of the image processing chip, or because the resolution of the first image exceeds The processing bandwidth of a function module in the image processing chip, for example, the upper limit of the image resolution that can be processed by a function module in the image processing chip located before the local enhancement processing function module is lower than the resolution of the first image. Therefore, in some embodiments, before the first image is input to the image processing chip, the first image may be divided into multiple sub-images, and then the multiple sub-images are sequentially input into the image processing chip to perform various deal with.
  • the first image before the first image is input to the designated function module, the first image may be divided into multiple sub-images, and then the multiple sub-images are sequentially input to the designated function module.
  • the upper limit of the resolution of the image that the functional module can process is lower than the resolution of the first image.
  • the first image to be processed may be an image in any one of the following formats: a Raw image, an image in RGB format, an image in YUV format, and an image in RGBA format.
  • image acquisition devices such as cameras include an image sensor (sensor) and an ISP chip.
  • the image sensor After the image sensor collects the image, it will be sent to the ISP chip for local enhancement, noise reduction, white balance adjustment, shadow correction, sharpening and a series of processing before output.
  • the resolution of the image collected by the image sensor becomes higher and higher, it may exceed the maximum processing bandwidth of the ISP chip. Therefore, it is necessary to divide the image into multiple sub-images, and then input them into the ISP chip for processing.
  • the resulting multi-frame sub-images are synthesized to obtain the final target image. Since the image is divided into multiple sub-images and then the ISP chip is used for local enhancement processing, the synthesized image will have obvious stitching defects.
  • the function of local enhancement processing needs to be turned off, so that the image cannot be locally enhanced.
  • this embodiment provides a method, and the specific process is shown in FIG. 7 :
  • the image sensor After the image sensor captures a frame of image A, it can be determined whether the resolution of the image A exceeds the upper limit of the image resolution that the ISP chip can process. Then, perform down-sampling processing on the image A to obtain an image B. The resolution of the image B after the down-sampling processing is lower than the upper limit of the image resolution that can be processed by the ISP chip. Then, under the condition that the local enhancement processing function of the ISP chip is turned on, the image B is input into the ISP chip for image processing to obtain the image C, and the image B is input to the ISP chip under the condition that the local enhancement processing function of the ISP chip is turned off Perform image processing to obtain image D. Then the image C and the image D are divided to obtain the local enhancement mapping matrix M. Among them, the values of the elements in the i-th row and the j-th column of the matrix are as follows:
  • the image A can be divided into multiple sub-images, and the multiple-frame sub-images are sequentially input into the ISP chip for processing, and then the processed multiple-frame sub-images are synthesized to obtain image E.
  • the high-frequency component of the image E is extracted by a pre-designed filter to obtain the image F
  • the low-frequency component image G of the image E is obtained by subtracting the image F from the image E.
  • the image H is obtained by multiplying the local enhancement mapping matrix M and the low-frequency component image G, and then the image H and the high-frequency component image F are superimposed to obtain the final target image.
  • the ISP chip can also be used to perform local enhancement processing and other processing on the image to ensure the processing effect of the image.
  • the present application also provides an image processing apparatus.
  • the apparatus includes a processor 81 , a memory 82 , and a computer program stored in the memory 82 for execution by the processor 81 .
  • the computer 81 executes the computer program, the following steps are implemented:
  • the local enhancement mapping matrix being used to describe the difference between the downsampled image that has undergone local enhancement processing and the downsampled image that has not undergone local enhancement processing;
  • a target image is obtained by performing local enhancement processing on the second image based on the local enhancement mapping matrix.
  • the processor before the processor is configured to perform downsampling processing on the first image to be processed, the processor is further configured to:
  • the image processing chip is used for performing the local enhancement processing and the other image processing on the first image.
  • the processor when the processor is configured to perform local enhancement processing on the second image based on the local enhancement mapping matrix to obtain the target image, the processor is specifically configured to:
  • the target image is obtained by performing local enhancement processing on the second image by using the local enhancement mapping matrix after the upsampling processing.
  • the processor when the processor is configured to perform local enhancement processing on the second image based on the local enhancement mapping matrix to obtain the target image, the processor is specifically configured to:
  • the target image is obtained by fusing the third image and the high frequency component.
  • the processor when the processor is configured to determine a local enhancement mapping matrix based on the down-sampled image, it is specifically configured to:
  • the local enhancement mapping matrix is determined according to the difference between the fourth image and the fifth image.
  • the processor when the processor is configured to determine the local enhancement mapping matrix according to the difference between the fourth image and the fifth image, the processor is specifically configured to:
  • the local enhancement mapping matrix is obtained by dividing the fourth image and the fifth image.
  • the local enhancement mapping matrix is obtained by subtracting the fourth image and the fifth image.
  • the processor when the processor is configured to perform local enhancement processing on the second image by using the local enhancement mapping matrix after upsampling processing to obtain the target image, the processor is specifically configured to:
  • the local enhancement mapping matrix is obtained by dividing the fourth image and the fifth image, then multiplying the up-sampled local enhancement mapping matrix and the second image to obtain the the target image;
  • the local enhancement mapping matrix is obtained by subtracting the fourth image and the fifth image, performing an addition operation on the up-sampling processed local enhancement mapping matrix and the second image to obtain the target image.
  • the processor when the processor is configured to determine a local enhancement mapping matrix based on the down-sampled image, it is specifically configured to:
  • the local enhancement mapping matrix is determined according to the difference between the sixth image and the down-sampled image.
  • the timing of performing the step of dividing the first image into a plurality of sub-images includes:
  • the image processing chip Before the first image is input to the image processing chip, the image processing chip is configured to perform the local enhancement processing and the other image processing on the first image; or
  • the upper limit of the resolution of the image that can be processed by the designated function module is lower than the resolution of the first image.
  • the image processing chip is an ISP chip.
  • the first image includes any of the following: a Raw image, an image in RGB format, an image in YUV format, and an image in RGBA format.
  • the present application also provides an image acquisition device, as shown in FIG. 9 , the image acquisition device includes an image sensor 91 and an image processing device 92, and the image processing device includes a processor 921, a memory 922, a The memory 922 can be a computer program executable by the processor 921.
  • the processor 921 executes the computer program, the following steps are implemented:
  • the local enhancement mapping matrix is used to describe the difference between the downsampled image that has undergone local enhancement processing and the downsampled image that has not undergone local enhancement processing;
  • a target image is obtained by performing local enhancement processing on the second image based on the local enhancement mapping matrix.
  • an embodiment of the present specification further provides a computer storage medium, where a program is stored in the storage medium, and when the program is executed by a processor, the image processing method in any of the foregoing embodiments is implemented.
  • Embodiments of the present specification may take the form of a computer program product embodied on one or more storage media having program code embodied therein, including but not limited to disk storage, CD-ROM, optical storage, and the like.
  • Computer-usable storage media includes permanent and non-permanent, removable and non-removable media, and storage of information can be accomplished by any method or technology.
  • Information may be computer readable instructions, data structures, modules of programs, or other data.
  • Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), Flash Memory or other memory technology, Compact Disc Read Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
  • PRAM phase-change memory
  • SRAM static random access memory
  • DRAM dynamic random access memory
  • RAM random access memory
  • ROM read only memory
  • EEPROM Electrically Erasable Programmable Read Only Memory
  • Flash Memory or other memory technology
  • CD-ROM Compact Disc Read Only Memory
  • CD-ROM Compact Disc Read Only Memory
  • DVD Digital Versatile Disc
  • Magnetic tape cartridges magnetic tape magnetic disk storage or other magnetic storage devices or any other non-
  • the apparatus embodiments since they basically correspond to the method embodiments, reference may be made to the partial descriptions of the method embodiments for related parts.
  • the device embodiments described above are only illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in One place, or it can be distributed over multiple network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.

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Abstract

L'invention concerne un procédé et un appareil de traitement d'images et un dispositif de collecte d'images. Le procédé comprend les étapes consistant à : effectuer un traitement de sous-échantillonnage sur une première image à traiter, afin d'obtenir une image sous-échantillonnée ; déterminer une matrice de mappage d'amélioration locale selon l'image sous-échantillonnée, la matrice de mappage d'amélioration locale servant à décrire la différence entre l'image sous-échantillonnée soumise à un traitement d'amélioration locale et l'image sous-échantillonnée non soumise au traitement d'amélioration locale ; effectuer respectivement un traitement d'images, autre que le traitement d'amélioration locale, sur une pluralité de sous-images obtenues par division de la première image et combiner une pluralité de sous-images traitées pour obtenir une seconde image ; et effectuer le traitement d'amélioration locale sur la seconde image selon la matrice de mappage d'amélioration locale, afin d'obtenir une image cible. Grâce au procédé, on peut prévenir le problème de défaut évident de maillage apparaissant dans une image après sa division en de multiples trames de sous-images puis sa soumission au traitement d'amélioration locale à l'aide d'une puce de traitement d'images.
PCT/CN2020/118784 2020-09-29 2020-09-29 Procédé et appareil de traitement d'images et dispositif de collecte d'images WO2022067489A1 (fr)

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