WO2022089082A1

WO2022089082A1 - Method for adjusting display image, terminal device, and computer readable storage medium

Info

Publication number: WO2022089082A1
Application number: PCT/CN2021/118775
Authority: WO
Inventors: 陈林; 夏大学; 杨剑锋
Original assignee: 深圳Tcl数字技术有限公司
Priority date: 2020-10-26
Filing date: 2021-09-16
Publication date: 2022-05-05
Also published as: CN114495816B; CN114495816A

Abstract

Provided in the present invention are a method for adjusting a display image, a terminal device, and a computer readable storage medium, the method comprising: acquiring brightness data of a target image, the target image being a brightness image obtained by photographing a display image of a display device; on the basis of the brightness data, determining greyscale compensation data corresponding to the display image; and, on the basis of the greyscale compensation data, adjusting the display image to obtain an adjusted display image. The display effects of the display device are thereby improved.

Description

Display image adjustment method, terminal device, and computer-readable storage medium

This application claims the priority of the Chinese patent application with the application number 202011155681.0 and the invention title "Display Image Adjustment Method, Terminal Device and Computer-readable Storage Medium" filed with the China Patent Office on October 26, 2020, the entire contents of which are obtained through Reference is incorporated in this application.

technical field

The present invention relates to the technical field of graph processing, and in particular, to a display image adjustment method, a terminal device and a computer-readable storage medium.

Background technique

Displays have more important applications in real life and production; the display effect of the display gives people the most direct sensory experience, and is also an important part of the production process of display equipment. A good display effect can bring people better viewing experience. During the production process of the display, due to factors such as technology, materials, and operation methods, the display shows uneven brightness or color cast in more than one pixel area, that is, the color Mura phenomenon. Therefore, the color Mura needs to be removed to achieve better performance. display effect. At present, the Mura removal technology is mainly aimed at the removal of Mura with uneven brightness and darkness, and there are relatively few technologies for the removal of color Mura with color cast. The traditional Mura removal technology can remove the uneven Mura of the display panel very well, but it has little effect on the regional color cast phenomenon.

Therefore, the existing technology still needs to be improved and developed.

technical problem

During the production process of the display, due to factors such as technology, materials, and operation methods, the display shows uneven brightness or color cast in more than one pixel area, that is, the color Mura phenomenon. Therefore, the color Mura needs to be removed to achieve better performance. display effect. At present, the Mura removal technology is mainly aimed at the removal of Mura with uneven brightness and darkness, and there are relatively few technologies for the removal of color Mura with color cast. The traditional Mura removal technology can remove the uneven Mura of the display panel very well, but it has little effect on the regional color cast phenomenon.

Therefore, the existing technology still needs to be improved and developed.

technical solutions

In view of the above-mentioned deficiencies of the prior art, the purpose of the present invention is to provide a display image adjustment method, terminal device and computer-readable storage medium, which can quickly and accurately remove color Mura from the display, so as to eliminate the uneven brightness and darkness of the display. color cast.

The technical scheme of the present invention is as follows:

In a first aspect, the present invention provides a display image adjustment method, including:

Obtain the brightness data of the target image, and the target image is the brightness image obtained by shooting the display image on the display;

Determine the grayscale compensation data corresponding to the displayed image according to the brightness data;

Adjust the display image according to the grayscale compensation data to obtain the adjusted display image.

In a second aspect, the present invention provides a terminal device, the terminal device includes a memory, a processor, and a computer program stored on the memory and run on the processor, and the processor implements when the computer program is executed:

In a third aspect, the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and the computer program is implemented by a processor when executed:

beneficial effect

The invention provides a display image adjustment method. The adjusted display image is obtained by acquiring brightness data of a target image, determining grayscale compensation data corresponding to the display image according to the brightness data, and adjusting the display image according to the grayscale compensation data. The color shift area and the uneven light-dark area of the display are compensated by means of grayscale compensation, so as to realize the rapid and accurate removal of color Mura, improve the display effect of the display, and have a good market application prospect.

Description of drawings

FIG. 1 is a flowchart of a preferred embodiment of a display image adjustment method according to the present invention.

FIG. 2 is a schematic diagram of image correction of a display image adjustment method according to the present invention.

FIG. 3 is a schematic diagram of a gray level of a display image adjustment method according to the present invention.

FIG. 4 is a schematic block diagram of the internal structure of a terminal device of the present invention.

Embodiments of the present invention

The present invention provides a display image adjustment method, a terminal device and a computer-readable storage medium. In order to make the purpose, technical solutions and effects of the present invention clearer and clearer, the present invention is further described below in detail. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

Generally speaking, in the production process of the display, due to the influence of various factors, the final display effect of the display will appear uneven in brightness and darkness or regional color cast, that is, color Mura. The existing methods for removing Mura from the display are mainly aimed at removing the Mura with uneven brightness and darkness of the display panel. These methods for removing Mura can remove the uneven Mura of the display panel well, but they cannot effectively remove the Mura. Regional color casts.

In order to effectively remove the regional color shift of the display, the present invention provides a display image adjustment method. Please refer to FIG. 1 . FIG. 1 is a flowchart of a display image adjustment method in an embodiment of the present invention. The display image adjustment method Include the following steps:

S1. The terminal device acquires brightness data of the target image.

Specifically, the target image is a brightness image obtained by photographing the display image on the display. In order to eliminate the color Mura appearing in the display image, first, the brightness data of the display image should be acquired. The display image of the display can be photographed by a brightness data acquisition device such as an imaging brightness meter, an industrial camera, a brightness sensor, etc., to obtain a brightness image of the display image, and the brightness image has brightness data of the display image. Displays include, but are not limited to, LCD displays, OLED displays, QLED displays, or micro_LED displays.

In one implementation, usually due to the shooting angle and other issues, the displayed image in the target image will have problems such as tilt or distortion. If the brightness data is directly extracted from the displayed image area in the target image, errors may occur and affect the color Mura. Therefore, in order to improve the accuracy of luminance data acquisition, it is necessary to correct the displayed image area in the target image first. Step S1 includes:

S11. The terminal device acquires the target image, and performs image correction processing on the displayed image area of each target image to obtain the corrected displayed image area.

Specifically, the displayed image area in the target image is the displayed image on the display. The brightness data of the display image is extracted from the display image area in the target image, and the tilt and distortion of the display image area in the target image will bring errors to the processing of the subsequent brightness data, so it is necessary to use the display image area in the display image area. Make corrections. Step S11 includes:

S111. For each target image, the terminal device detects the corners of the displayed image area by using a corner detection method.

Specifically, the terminal device performs the same correction processing on each target image. For each target image, the four vertices of the display image area in the target image should be found first, and all the corner points of the target image should be detected by the corner detection method, and the corner points refer to the inflection points of the line. Then find out the four corner points closest to the four sides of the display image area from all the corner points, the four corner points are the four corner points of the display image area, and obtain the four corner points of the display image area at the same time. location information. For example, referring to FIG. 2, four vertices A1, A2, A3 and A4 of the display image area A1A2A3A are to be found. Use the corner detection method to detect all the corners of the target image, find the four corners A1, A2, A3 and A4 that are closest to the four sides (A1A2, A2A4, A3A4, A1A3) of the displayed image area from all the corners, The four corner points are the four vertices of the display image area, and the coordinates of A1, A2, A3 and A4 are obtained at the same time. The corner detection method may be Harris corner detection, sub-pixel-level corner detection, pixel-level corner detection, or binarization edge search. Further, since there is more than one target image, and the location of the photograph is fixed, the position of the displayed image area in the target image is fixed, and corner detection can be performed on only one target image to obtain the coordinates of the four vertices of the displayed image area. , the coordinates of the four vertices of the displayed image area of other target images are the coordinates of the four vertices, and it is not necessary to perform corner detection on all target images, which reduces the time of image processing and solves the problem of time-consuming.

S112. The terminal device corrects the displayed image area according to the coordinates of the corner points of the displayed image area and the preset corner point coordinates to obtain a corrected displayed image area.

Specifically, the preset corner coordinates are the positions of the four vertices of the corrected display image area. To move the corner coordinates of the display image area to the preset corner coordinates, the display image area will be moved accordingly. Tilt correction is accomplished by tilt correction methods such as geometric correction, perspective correction, or homography correction. Then, barrel distortion correction is performed on the display image area after the tilt correction, to eliminate the barrel distortion phenomenon of the display image area after the tilt correction, and a corrected display image area is obtained. For example, referring to FIG. 2 , four target vertices B1 , B2 , B3 and B4 respectively corresponding to A1 , A2 , A3 and A4 are preset in the target image. According to the spatial relationship between A1, A2, A3, A4 and B1, B2, B3, and B4, the display image area is corrected for inclination, that is, the vertex A1 is corrected to B1, the vertex A2 is corrected to B2, and the vertex A3 is corrected Go to B3, correct the vertex A4 to B4 to obtain the display image area B1B2B3B4 after the skew correction, and then perform barrel distortion correction on the display image area B1B2B3B4 after the skew correction to obtain the corrected display image area C1C2C3C4.

S12. The terminal device extracts the brightness data of the corrected display image area as the brightness data of the target image.

After the corrected display image area is obtained, the brightness data of the display image area is extracted, that is, the brightness data of the display image in the target image. The brightness data refers to the brightness value of each pixel of the display image. The image corresponds to the brightness value of each pixel under different grayscales.

In an implementation manner, before step S11, the method further includes: adjusting the initial state of the display by the terminal device. To accurately adjust the displayed image, it is necessary to obtain the brightness data of the displayed image in a better display state of the monitor. You can adjust the brightness and color-related parameters such as the Gamma value or white balance of the displayed image to adjust the initial state of the displayed image. Then, by taking pictures of the displayed image, the brightness data of the displayed image is obtained.

S2. The terminal device determines the grayscale compensation data corresponding to the displayed image according to the luminance data.

Specifically, the target image includes three primary color images in at least one grayscale, the brightness data of the target image refers to the brightness value of each pixel of the displayed image in the target image at each grayscale, and the grayscale refers to the image The level of different brightness between the brightest and the darkest in each image, the gray level in each image ranges from 0 to 255, a total of 256 gray levels, and at least one gray level is selected from the 255 gray levels to obtain brightness data. . Since each pixel of the display is usually composed of three sub-pixels of RGB, the primary color in this embodiment refers to the three primary colors of R, G, and B, and the three primary color images are the primary color R image, the primary color G image and the primary color respectively. The B image, that is, each gray level includes a primary color R gray level, a primary color G gray level, and a primary color B gray level. As shown in FIG. 3, FIG. 3 is a schematic diagram of gray levels. Three gray levels with different brightness are preset in the figure. The gray level values of the gray levels from dark blocks to light blocks are 30, 110, 230, each gray layer is further divided into gray layers of three primary colors: R, G, and B. The display image can be photographed by the brightness data acquisition device, the target images of the three primary colors of the display image under different grayscales can be obtained respectively, and the brightness values of the three sub-pixels under different grayscales can be obtained. The data acquisition device first acquires the target images of the display image in different grayscales, and then extracts the brightness values of three sub-pixels of the target image in each grayscale through the white point. For example, please refer to Figure 3, three gray levels of 30/110/230 are preset. By using the Color Vision camera to take a picture of the display of a 55-inch TCL_R63 TV, the 30 gray level, 110 gray level and 230 gray level are obtained respectively. The target images of primary color R, primary color G, and primary color B are obtained, a total of 9 target images are obtained, and the brightness values of the corresponding sub-pixels are respectively extracted from the 9 target images. According to the luminance values of the three sub-pixels at different gray scales of the displayed image in the target image, the gray scale compensation data corresponding to the displayed image is determined.

Further, step S2 includes:

S21. The terminal device determines the gamma curve corresponding to each pixel subregion according to the average luminance of each pixel subregion of the target image under each gray scale.

Specifically, the pixel subregion of the target image refers to the pixel subregion of the display image in the target image, and the pixel subregion includes at least one pixel. For target images of different primary colors under the same gray scale, the pixels refer to the corresponding primary color sub-pixels. When the pixel partition includes one pixel, the average brightness of each pixel partition in the target image at each gray level is the brightness value of the pixel at the gray level; or, when the pixel partition includes at least two pixels, the target image The average brightness of each pixel partition in the image at each gray level is the average value of the brightness values of all pixels in the pixel partition at the gray level. Since the gray-scale compensation data obtained by processing each pixel separately increases the calculation amount and calculation time of the display chip, and the data storage space of the display chip is limited, it is necessary to determine each pixel according to the data storage space and data operation time of the display chip. The number of pixels in the pixel area is divided into pixel partitions. For example, the resolution of a TV monitor is generally 3840 × 2160, which is equivalent to 3840 × 2160 pixel partitions for each gray scale. The calculation amount is large and the calculation is time-consuming, so The pixel partition of each gray level is reduced to 270×480, which reduces the calculation time. According to the grayscale value of each primary color, the gamma value corresponding to each pixel partition is calculated, so as to obtain the gamma curve corresponding to each pixel partition.

In an implementation manner, the gamma value of each pixel partition is calculated from the average brightness and the gray level value of each gray level of the pixel partition, and the calculation method is as follows:

Among them, N is the number of gray levels, L _i is the average brightness of a certain pixel partition of the n _i gray level, L _i-1 is the average brightness of a certain pixel partition of the n _i-1 gray level, n _i and n _i-1 is the gray level value of two different gray levels, and n _i >n _i-1 , and Li and L _i _-1 are the luminance average values of the n _i gray level and the n _i-1 gray level, respectively. For example, take the three grayscales of the target image as n1=30, n2=110, and n3=230 respectively. Under the primary color R, the average luminance of the first pixel partition of the target image under the three grayscales is respectively Corresponding to LR1, LR2 and LR3 in turn, the gamma value of the pixel partition under the base color R is:

In another implementation manner, the gamma value of each pixel partition may be obtained by fitting the brightness average value and the gray level value of each gray level of each pixel partition, that is, the brightness average value of each gray level The fitting curve is obtained by fitting with the change of the gray scale value, and the fitting curve is the gamma curve of the corresponding pixel partition, and the obtained curve fitting value is the gamma value.

S22. The terminal device determines the brightness threshold of the target image at each gray level.

Specifically, it is necessary to determine the brightness threshold of each primary color for the target image at each gray level, and a brightness value can be preset for the target image corresponding to each primary color at each gray level as the brightness threshold, and also The brightness thresholds of the target image under different gray levels can be determined according to the brightness values of the pixels of the target image under different gray levels. The ratio of the brightness thresholds of the three primary colors in each grayscale must be consistent, so that the white color mixed from the three primary colors in each grayscale can be consistent, that is, to ensure the brightness of the three sub-pixels of each pixel of the display. If the ratio (the ratio of the brightness threshold) is consistent, the white light emitted by each pixel can be consistent, and the phenomenon of uneven white light emitted by the pixel can be avoided. When the brightness threshold is the preset brightness value, the brightness value with the same brightness ratio of the three primary colors in each grayscale can be preset directly according to the preset brightness ratio; and when the brightness threshold is based on the target image in each grayscale The brightness threshold determined by the brightness value of the pixel, because the actual calculated brightness average values of the three primary colors under each gray level are different, so the obtained brightness ratios of the three primary colors under each gray level will appear inconsistent. The calculated brightness threshold is adjusted to obtain the adjusted brightness threshold. Specifically, step S22 includes:

S221, for each grayscale, the terminal device calculates the average value of the luminance values of all pixels in the target image under the grayscale;

S222, the terminal device determines the luminance ratio of the three primary colors of the target image;

S223. The terminal device adjusts the average value of the brightness values in the grayscale according to the brightness ratio, and obtains the adjusted average brightness value in the grayscale. The adjusted average brightness value in the grayscale is the average value of the target image in the grayscale. Brightness threshold.

Specifically, the pixels here include R sub-pixels, G sub-pixels, and B sub-pixels. For each grayscale, calculate the average value of the luminance values of each subpixel to obtain the average luminance of the R subpixels under the grayscale. , the luminance average value of the G sub-pixel and the luminance average value of the B sub-pixel. Since the ratios of the average brightness values of the three sub-pixels under each grayscale obtained in step S221 may be inconsistent, a brightness ratio needs to be determined. The brightness ratio can be a preset brightness ratio or a target in any grayscale. The luminance ratio of the three primary colors of the image. According to the determined luminance ratio, the ratio of the average value of the luminance values of the three sub-pixels in each gray scale is adjusted to the luminance ratio, and the adjusted luminance average value of the three primary colors in each gray scale is obtained. The adjusted brightness average value of the three primary colors in each grayscale is determined as the brightness threshold of the target image in each grayscale.

S23. The terminal device determines the compensation value corresponding to each gray scale according to the brightness threshold and the gamma curve.

Specifically, each pixel subregion under each primary color corresponds to a gamma curve, and the gamma curve is a relationship curve between the luminance value and the gray scale of each pixel subregion under each primary color. The average brightness of different pixel partitions of the same primary color under the same grayscale may be different. It is necessary to adjust the brightness averages of all pixel partitions of the same primary color under the grayscale to be consistent, that is, the same grayscale. The average brightness of all pixel partitions of the primary color is adjusted to the brightness threshold of the corresponding primary color in the grayscale, so that the brightness of the same primary color in the grayscale is consistent. For the gamma curve of each primary color of each pixel partition under each grayscale, the grayscale value corresponding to the luminance threshold of the primary color at the grayscale on the gamma curve is taken as the grayscale value of the primary color of the pixel partition. Grayscale value, the grayscale value is the grayscale compensation value under the primary color of the pixel partition, or the difference between the grayscale value and the grayscale value of the grayscale can be used as the grayscale value of the pixel partition under the primary color compensation value. Under this grayscale, the grayscale compensation values under all primary colors of all pixel partitions are the compensation values corresponding to the grayscale. For example, under the grayscale value of 30, the brightness threshold of the corresponding primary color R is 100, the brightness of pixel partition 1 is 95, and the brightness of pixel partition 2 is 105. It is necessary to set the two pixel partitions at 30 grayscale. When the brightness is calibrated to the same level (calibrated to the brightness threshold of 100), the gamma1 curve and the gamma1 curve of the two partitions are calculated. According to the gamma1 curve, the grayscale value of the pixel partition 1 corresponding to the brightness of 100 is obtained; according to the gamma2 curve, The grayscale value of pixel partition 2 corresponding to the brightness of 100 is obtained. The grayscale value of pixel partition 1 and the grayscale value of pixel partition 2 are the grayscale compensation values of pixel partition 1 and pixel partition 2, respectively. In the above manner, the same processing is performed on each grayscale to obtain the compensation value corresponding to each grayscale.

S24. The terminal device determines the grayscale compensation data corresponding to the displayed image according to the compensation values corresponding to all the grayscales respectively.

Compensation values corresponding to all grayscales are combined to generate a compensation file, and the compensation file is the grayscale compensation data corresponding to the display image in the target image. The grayscale compensation data reflects the brightness deviation of each pixel area of each sub-pixel under each grayscale of the displayed image. By compensating the grayscale, the brightness of the displayed image under the corresponding grayscale is compensated, so that each display in the same grayscale can be displayed. The brightness of the area is the same.

S3. The terminal device adjusts the display image according to the grayscale compensation data to obtain the adjusted display image.

Specifically, the grayscale compensation data is written into the display to perform brightness compensation on the displayed image. The color shift area and the luminance area of the display are compensated by means of luminance compensation, and the display image is adjusted to obtain the adjusted display image. The grayscale compensation data can be written into the display through serial port, network port, local area network or HDMI, or the grayscale compensation data can be directly written into the display chip.

In an implementation manner, after the grayscale compensation data is written into the display, the compensation may not take effect or the display is abnormal, and the adjusted display image needs to be verified to determine whether the grayscale compensation data is effective for the display. It can meet the needs of automatic production of display production lines. Specifically, the uniformity value of the displayed image is preset, the adjusted target image in a certain grayscale is obtained, the uniformity value of the displayed image corresponding to the adjusted target image in the grayscale is calculated, and the uniformity value of the displayed image in the grayscale is obtained at the same time. The target image before adjustment is calculated and the uniformity value of the displayed image corresponding to the target image before adjustment is calculated. Using the preset uniformity value as a standard value, and according to the uniformity value of the displayed image before adjustment, it is judged that the display effect of the adjusted display image is well-adjusted.

In an embodiment, the present invention provides a terminal device, and the internal structure principle is shown in FIG. 4 . The terminal equipment includes a processor, a memory, a network interface, a display screen and an input device connected through a system bus. The processor of the terminal device is used to provide computing and control capabilities. The memory of the terminal device includes a non-volatile storage medium and an internal memory. The nonvolatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the execution of the operating system and computer programs in the non-volatile storage medium. The network interface of the terminal device is used to communicate with an external terminal through a network connection. The computer program, when executed by the processor, implements the display image adjustment method as described above. The display screen of the terminal equipment may be a liquid crystal display screen or an electronic ink display screen, and the input device of the terminal equipment may be a touch layer covered on the display screen, or a button, a trackball or a touchpad set on the shell of the terminal equipment , or an external keyboard, trackpad, or mouse.

Those skilled in the art can understand that the block diagram shown in FIG. 4 is only a partial structure related to the solution of the present invention, and does not constitute a limitation on the terminal equipment to which the solution of the present invention is applied. shown in more or less components, or in combination with certain components, or with different arrangements of components. In one embodiment, the present invention provides a terminal device, the terminal device includes a memory, a processor, and a computer program stored in the memory and executed on the processor, and the processor implements the above when executing the computer program. Shows the steps of the image adjustment method.

In one embodiment, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, implements the steps of the above-mentioned display image adjustment method.

It should be understood that the application of the present invention is not limited to the above examples. For those of ordinary skill in the art, improvements or transformations can be made according to the above descriptions, and all these improvements and transformations should belong to the protection scope of the appended claims of the present invention.

Claims

A display image adjustment method, comprising:

acquiring brightness data of a target image, where the target image is a brightness image obtained from a display image captured on a display;

Determine the grayscale compensation data corresponding to the display image according to the luminance data;

The display image is adjusted according to the grayscale compensation data to obtain an adjusted display image.
The method according to claim 1, wherein the target image includes three primary color images in at least one gray scale, and the determining the gray scale compensation data corresponding to the display image according to the luminance data comprises:

Determine the gamma curve corresponding to each pixel subregion according to the luminance average value of each pixel subregion of the target image under each gray scale;

determining the brightness threshold of the target image under each gray level;

According to the brightness threshold and the gamma curve, determine the compensation values corresponding to each gray scale respectively;

The gray-scale compensation data corresponding to the display image is determined according to the respective compensation values corresponding to all the gray-scales.
The method according to claim 2, wherein the pixel partition comprises one pixel, and the average value of the brightness of each pixel partition in the target image at each gray level is the brightness value of the pixel at the gray level; or,

The pixel partition includes at least two pixels, and the average brightness of each pixel partition in the target image under each gray level is the average of the brightness values of all pixels in the pixel partition under the gray level.
The method according to claim 2, wherein the brightness threshold of the target image under each gray scale is a preset brightness value; or,

The determining the brightness threshold of the target image at each gray level includes:

For each grayscale, calculate the average value of the luminance values of all pixels in the target image under the grayscale;

Determine the brightness ratio of the three primary colors of the target image;

Adjust the average value of the brightness values in the gray level according to the brightness ratio to obtain the adjusted average brightness value in the gray level, and the adjusted average brightness value in the gray level is the target image in the gray level lower brightness threshold.
The method according to claim 4, wherein the luminance ratio of the three primary colors of the target image is a preset luminance ratio, or the luminance ratio of the three primary colors of the target image is the target image in any gray scale The luminance ratio of the three primary colors.
The method according to claim 1, wherein the acquiring the brightness data of the target image comprises:

Acquiring a target image, and performing image correction processing on the displayed image area of each of the target images to obtain a corrected displayed image area;

Extracting the brightness data of the corrected display image area as the brightness data of the target image.
The method according to claim 6, wherein, performing image correction processing on the displayed image area of each of the target images to obtain a corrected displayed image area, comprising:

For each of the target images, a corner detection method is used to detect the corners of the displayed image area;

According to the coordinates of the corner points of the display image area and the preset corner point coordinates, the display image area is corrected to obtain a corrected display image area.
The method according to claim 7, wherein correcting the display image area to obtain a corrected display image area, comprising:

Perform tilt correction on the display image area to obtain a display image area after tilt correction;

The barrel distortion correction is performed on the displayed image area after tilt correction to obtain the corrected displayed image area.
method according to claim 6, wherein, described acquisition target image, carries out image correction processing to the display image area of each described target image, before obtaining the display image area after correction, described method also comprises:

Adjust the initial state of the display.
The method according to claim 1, wherein the adjusting the display image according to the grayscale compensation data to obtain the adjusted display image comprises:

The grayscale compensation data is written into the display, and the display image of the display is adjusted to obtain an adjusted display image.
A terminal device, wherein the terminal device includes a memory, a processor, and a computer program stored on the memory and executed by the processor, and when the processor executes the computer program, the processor implements:

Obtain the brightness data of the target image, and the target image is the brightness image obtained by shooting the display image on the display;

Determine the grayscale compensation data corresponding to the displayed image according to the brightness data;

Adjust the display image according to the grayscale compensation data to obtain the adjusted display image.
The terminal device according to claim 11, wherein the target image comprises three primary color images in at least one gray scale, and the processor is further configured to:

Determine the gamma curve corresponding to each pixel subregion according to the luminance average value of each pixel subregion of the target image under each gray scale;

determining the brightness threshold of the target image under each gray level;

According to the brightness threshold and the gamma curve, determine the compensation values corresponding to each gray scale respectively;

The gray-scale compensation data corresponding to the display image is determined according to the respective compensation values corresponding to all the gray-scales.
The terminal device according to claim 12, wherein the pixel partition comprises one pixel, and the average value of the brightness of each pixel partition in the target image at each gray level is the brightness value of the pixel at the gray level ;or,

The pixel partition includes at least two pixels, and the average brightness of each pixel partition in the target image under each gray level is the average of the brightness values of all pixels in the pixel partition under the gray level.
The terminal device of claim 12, wherein the processor is further configured to:

For each grayscale, calculate the average value of the luminance values of all pixels in the target image under the grayscale;

Determine the brightness ratio of the three primary colors of the target image;

Adjust the average value of the brightness values in the gray level according to the brightness ratio to obtain the adjusted average brightness value in the gray level, and the adjusted average brightness value in the gray level is the target image in the gray level lower brightness threshold.
The terminal device according to claim 14, wherein the luminance ratio of the three primary colors of the target image is a preset luminance ratio, or the luminance ratio of the three primary colors of the target image is the target in any gray scale The luminance ratio of the three primary colors of the image.
The terminal device of claim 11, wherein the processor is further configured to:

Acquiring a target image, and performing image correction processing on the displayed image area of each of the target images to obtain a corrected displayed image area;

Extracting the brightness data of the corrected display image area as the brightness data of the target image.
The terminal device of claim 16, wherein the processor is further configured to:

For each of the target images, a corner detection method is used to detect the corners of the displayed image area;

According to the coordinates of the corner points of the display image area and the preset corner point coordinates, the display image area is corrected to obtain a corrected display image area.
The terminal device of claim 17, wherein the processor is further configured to:

Perform tilt correction on the display image area to obtain a display image area after tilt correction;

The barrel distortion correction is performed on the displayed image area after tilt correction to obtain the corrected displayed image area.
The terminal device of claim 16, wherein the processor is further configured to:

Adjust the initial state of the display.
A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and the computer program is implemented when executed by a processor:

Obtain the brightness data of the target image, and the target image is the brightness image obtained by shooting the display image on the display;

Determine the grayscale compensation data corresponding to the displayed image according to the brightness data;

Adjust the display image according to the grayscale compensation data to obtain the adjusted display image.