CN114495816B - Display image adjustment method, terminal device and computer readable storage medium - Google Patents
Display image adjustment method, terminal device and computer readable storage medium Download PDFInfo
- Publication number
- CN114495816B CN114495816B CN202011155681.0A CN202011155681A CN114495816B CN 114495816 B CN114495816 B CN 114495816B CN 202011155681 A CN202011155681 A CN 202011155681A CN 114495816 B CN114495816 B CN 114495816B
- Authority
- CN
- China
- Prior art keywords
- brightness
- display image
- display
- gray
- target image
- Prior art date
- Legal status (The legal status 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 status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/22—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources
- G09G3/30—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels
- G09G3/32—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED]
- G09G3/3208—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED] organic, e.g. using organic light-emitting diodes [OLED]
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/02—Improving the quality of display appearance
- G09G2320/0233—Improving the luminance or brightness uniformity across the screen
Abstract
The invention provides a display image adjusting method, terminal equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring brightness data of a target image, wherein the target image is a brightness image obtained by shooting a display image of a display; determining gray-scale compensation data corresponding to the display image according to the brightness data; and adjusting the display image according to the gray level compensation data to obtain an adjusted display image. The gray level compensation data under each gray level is obtained by extracting the brightness data under each gray level of the display image, and the brightness of each primary color of the color cast area and the brightness uneven area of the display is compensated in a gray level compensation mode, so that the color Mura of the display is rapidly and accurately removed, and the display effect of the display is improved.
Description
Technical Field
The present invention relates to the field of graph processing technologies, and in particular, to a display image adjustment method, a terminal device, and a computer readable storage medium.
Background
The display has important application in actual life and production; the display effect of the display gives people the most direct sensory experience, is also an important part of the display equipment in the production and manufacturing process, and good display effect can bring better watching experience for people.
In the production process of the display, due to the influence of factors such as process, materials, operation methods and the like, the display presents uneven brightness or color cast phenomenon, namely color Mura phenomenon, in more than one pixel area, so that the color Mura is required to be removed, and a better display effect is achieved. At present, the Mura removal technology mainly aims at removing Mura with uneven brightness, and is relatively few for removing color Mura with color cast phenomenon. The conventional Mura removing technology can well remove the Mura with uneven brightness of the display panel, but has small effect on regional color cast phenomenon.
Accordingly, the prior art is still in need of improvement and development.
Disclosure of Invention
In view of the foregoing drawbacks of the prior art, an object of the present invention is to provide a display image adjustment method, a terminal device, and a computer readable storage medium, which implement fast and accurate removal of color Mura for a display to eliminate uneven brightness and color cast of the display.
The technical scheme of the invention is as follows:
in a first aspect, the present invention provides a display image adjustment method, including:
acquiring brightness data of a target image, wherein the target image is a brightness image obtained by shooting a display image on a display;
determining gray-scale compensation data corresponding to the display image according to the brightness data;
and adjusting the display image according to the gray level compensation data to obtain an adjusted display image.
In a second aspect, the present invention provides a terminal device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the display image adjustment method as described above when executing the computer program.
In a third aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of a display image adjustment method as described above.
The beneficial effects are that: the invention provides a display image adjusting method, which comprises the steps of obtaining brightness data of a target image, determining gray-scale compensation data corresponding to the display image according to the brightness data, and adjusting the display image according to the gray-scale compensation data to obtain an adjusted display image. The color cast area and the uneven brightness area of the display are compensated in a gray level compensation mode, so that the color Mura is rapidly and accurately removed, the display effect of the display is improved, and the display has good market application prospect.
Drawings
FIG. 1 is a flowchart showing an image adjustment method according to a preferred embodiment of the invention.
Fig. 2 is an image correction schematic diagram showing an image adjustment method according to the present invention.
FIG. 3 is a schematic diagram showing the gray scale level of an image adjustment method according to the present invention.
Fig. 4 is a schematic block diagram of the internal structure of a terminal device according to the present invention.
Detailed Description
The invention provides a display image adjusting method, a terminal device and a computer readable storage medium, which are used for making the purposes, technical schemes and effects of the invention clearer and more definite, and are further described in detail below. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Generally, in the process of manufacturing a display, due to various factors, the final display effect of the display may appear uneven brightness or area color shift, i.e. color Mura. The existing methods for removing the Mura of the display are mainly aimed at removing the Mura of the uneven brightness of the display panel, and the methods for removing the Mura can well remove the Mura of the uneven brightness of the display panel, but can not effectively remove the regional color cast phenomenon.
In order to effectively remove the regional color cast phenomenon of a 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 includes the following steps:
s1, the terminal equipment acquires brightness data of a target image.
Specifically, the target image is a luminance image obtained by photographing a display image on a display, and luminance data of the display image is first acquired in order to eliminate color Mura appearing in the display image. The brightness image of the display image can be obtained by photographing the display image of the display through a brightness data acquisition device such as an imaging type brightness meter, an industrial camera, a brightness sensor and the like, and the brightness image has the brightness data of the display image. The display includes, but is not limited to, an LCD display, an OLED display, a QLED display, or a micro_led display.
In one implementation, the display image in the target image is usually inclined or distorted due to the problems of shooting angle, and if the brightness data is directly extracted from the display image area in the target image, errors may occur, which affect the removal effect of the color Mura, so in order to improve the accuracy of brightness data acquisition, the display image area in the target image needs to be corrected first. The step S1 comprises the following steps:
s11, the terminal equipment acquires target images, and performs image correction processing on the display image area of each target image to obtain corrected display image areas.
Specifically, the display image area in the target image is a display image on the display. The brightness data of the display image is extracted from the display image area in the target image, and the inclination and distortion phenomenon of the display image area in the target image can cause errors in the subsequent processing of the brightness data, so that the display image area needs to be corrected. The step S11 includes:
s111, aiming at each target image, the terminal equipment detects the corner points of the display image area by adopting a corner point detection method.
Specifically, the terminal device performs the same correction processing for each target image. For each target image, four vertexes of a display image area in the target image are found first, and all corner points of the target image are detected by adopting a corner point detection method, wherein the corner points refer to inflection points of lines. And then finding out four corner points nearest to four sides of the display image area from all the corner points, wherein the four corner points are the four corner points of the display image area, and simultaneously acquiring the position information of the four corner points of the display image area. For example, referring to fig. 2, four vertices A1, A2, A3, and A4 of the display image area A1A2A3A are to be found. Detecting all the corners of the target image by using a corner detection method, finding four corners A1, A2, A3 and A4 closest to four sides (A1A 2, A2A4, A3A4 and A1A 3) of the display image area from all the corners, wherein the four corners are four vertexes of the display image area, and simultaneously acquiring coordinates of A1, A2, A3 and A4. The corner detection method can be Harris corner detection, sub-pixel level corner detection, pixel level corner detection or binarization edge point search. Furthermore, because more than one target image is photographed, the position of the display image area in the target image is fixed, and the corner detection can be carried out on only one target image to obtain four vertex coordinates of the display image area, the four vertex coordinates of the display image area of other target images are the four vertex coordinates, the corner detection is not needed to be carried out on all target images, the time of image processing is reduced, and the time-consuming problem is solved.
And S112, the terminal equipment corrects the display image area according to the coordinates of the corner points of the display image area and the preset corner point coordinates to obtain a corrected display image area.
Specifically, the preset corner coordinates are positions of four vertices of the corrected display image area, the corner coordinates of the display image area are moved to the preset corner coordinates, the display image area is correspondingly moved, and the inclination correction method such as geometric correction, perspective correction or homography correction can be adopted to complete the inclination correction. And then, carrying out barrel distortion correction on the display image area after the inclination correction, eliminating the barrel distortion phenomenon of the display image area after the inclination correction, and obtaining the corrected display image area. For example, referring to fig. 2, four target vertices B1, B2, B3, and B4 corresponding to A1, A2, A3, and A4, respectively, 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 subjected to inclination correction, namely, the vertex A1 is corrected to B1, the vertex A2 is corrected to B2, the vertex A3 is corrected to B3, the vertex A4 is corrected to B4, the display image area B1B2B3B4 after inclination correction is obtained, and then the display image area B1B2B3B4 after inclination correction is subjected to barrel distortion correction, so that the display image area C1C2C3C4 after inclination correction is obtained.
S12, the terminal equipment 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, namely the brightness data of the display image in the target image, is extracted, wherein the brightness data refers to the brightness value of each pixel of the display image, and corresponds to the brightness value of each pixel of the display image under different gray scales.
In one implementation, before step S11, the method further includes: the terminal device adjusts the initial state of the display. To accurately adjust the display image, the brightness data of the display image needs to be obtained in a good display state of the display, the initial state of the display image can be adjusted by adjusting parameters related to brightness and color such as Gamma value or white balance of the display image, and then the brightness data of the display image is obtained by photographing the display image.
S2, the terminal equipment determines gray-scale compensation data corresponding to the display image according to the brightness data.
Specifically, the target image comprises three primary color images under at least one gray scale, the brightness data of the target image refers to the brightness value of each pixel of the display image in the target image under each gray scale, the gray scale refers to the level of different brightness between the brightest and darkest in the image, the gray scale range in each image is 0-255, 256 gray scales are all used, and at least one gray scale is selected from the 255 gray scales to obtain the brightness data. Since each pixel of the display is typically composed of three sub-pixels of RGB, the primary colors in this embodiment refer to the three primary colors R, G, B, and the three primary color images are respectively a primary color R image, a primary color G image, and a primary color 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, in which three gray levels with different brightness are preset, the gray levels of the gray levels from dark blocks to light blocks are respectively 30, 110 and 230, and each gray level is divided into the gray levels of R, G, B primary colors. The brightness data acquisition device is used for photographing the display image, respectively acquiring target images of three primary colors of the display image under different gray scales to obtain brightness values of three sub-pixels under different gray scales, or the brightness data acquisition device containing the optical filters is used for firstly acquiring the target images of the display image under different gray scales, and then extracting the brightness values of the three sub-pixels of the target image under each gray scale under the gray scales through the white field. For example, referring to fig. 3, three gray levels of 30/110/230 are preset, and the Color Vision camera is used to photograph the display of the 55-inch tcl_r63 television to obtain target images of primary colors R, G and B at 30 gray levels, 110 gray levels and 230 gray levels, respectively, so that 9 target images are obtained in total, and the luminance values of the corresponding sub-pixels are extracted from the 9 target images. And determining gray-scale compensation data corresponding to the display image according to the brightness values of three sub-pixels in different gray scales of the display image in the target image.
Further, step S2 includes:
s21, the terminal equipment determines a gamma curve corresponding to each pixel partition according to the average brightness value of each pixel partition of the target image under each gray level.
Specifically, the pixel division of the target image refers to the pixel division of the display image in the target image, and the pixel division includes at least one pixel. For target images of different primary colors at the same gray level, a pixel refers to a corresponding primary color sub-pixel. When the pixel partition comprises a pixel, the average value of the brightness of each pixel partition in the target image under each gray level is the brightness value of the pixel under the gray level; alternatively, when the pixel partition includes at least two pixels, the average value of the luminance of each pixel partition in the target image at each gray level is the average value of the luminance values of all the pixels in the pixel partition at the gray level. The calculation amount and calculation time of the display chip are increased and the data storage space of the display chip is limited due to the fact that the gray-scale compensation data are obtained by processing each pixel respectively, therefore, the number of pixels in each pixel area needs to be determined according to the data storage space and the data calculation time of the display chip, pixel partitions are divided, for example, the resolution of a television display is higher and is generally 3840 multiplied by 2160, the number of pixel partitions corresponding to each gray scale is 3840 multiplied by 2160, the calculation amount is large and the calculation time is consumed, the number of pixel partitions of each gray scale is reduced to 270 multiplied by 480, and the calculation time is reduced. And calculating the gamma value corresponding to each pixel partition according to the gray scale value of each primary color, so as to obtain gamma curves corresponding to each pixel partition.
In one implementation, the gamma value of each pixel partition is calculated by calculating a brightness average value and a gray level value of each gray level of the pixel partition, and the calculation method is as follows:
wherein N is the number of gray scales, L i Is n i Average brightness of a pixel partition of gray scale, L i-1 Is n i-1 Average value of brightness of a pixel partition of gray scale, n i And n i-1 Respectively two gray scale values with different gray scales, and n i >n i-1 ，L i And L i-1 Respectively n i Gray scale sum n i-1 And (5) the average brightness of the gray scale. For example, taking three gray levels of the target image as n1=30, n2=110, n3=230, and taking average values of brightness of the first pixel partition of the target image at the three gray levels as LR1, LR2, and LR3 in sequence under the primary color R, the gamma value of the pixel partition under the primary color R is:
in another implementation manner, the gamma value of each pixel partition may be obtained by fitting a brightness average value and a gray level value of each gray level of each pixel partition, that is, fitting the brightness average value of each gray level with the change of the gray level value to obtain a fitting curve, where 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 equipment determines brightness threshold values of the target image under each gray level.
Specifically, the brightness threshold value of each primary color needs to be determined for the target image under each gray level, one brightness value can be preset for the target image corresponding to each primary color under each gray level to serve as the brightness threshold value, and the brightness threshold value 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 proportion of the brightness threshold values of the three primary colors under each gray level is consistent, so that the white mixed out of the three primary colors under each gray level can be consistent, that is, the proportion of the brightness of the three sub-pixels of each pixel of the display (the proportion of the brightness threshold value) is consistent, the white light emitted by each pixel can be consistent, and the phenomenon of uneven white light emitted by the pixel is avoided. When the brightness threshold is a preset brightness value, the brightness value with consistent brightness proportion of three primary colors under each gray level can be preset directly according to the preset brightness proportion; when the luminance threshold is determined according to the luminance value of the pixel of the target image under each gray level, since the luminance average value of the three primary colors under each gray level obtained by actual calculation is different, the luminance ratios of the three primary colors under each gray level obtained may be inconsistent, the luminance threshold obtained by calculation may be adjusted, so as to obtain an adjusted luminance threshold, and specifically, step S22 includes:
s221, calculating an average value of brightness values of all pixels in the target image under each gray level by the terminal equipment;
s222, the terminal equipment determines brightness proportions of three primary colors of a target image;
s223, the terminal equipment adjusts the average value of the brightness values under the gray scale according to the brightness proportion to obtain the adjusted average value of the brightness under the gray scale, wherein the adjusted average value of the brightness under the gray scale is the brightness threshold value of the target image under the gray scale.
Specifically, the pixels herein include an R sub-pixel, a G sub-pixel, and a B sub-pixel, and for each gray level, the average value of the luminance values of each sub-pixel is calculated separately, resulting in the average value of the luminance of the R sub-pixel, the average value of the luminance of the G sub-pixel, and the average value of the luminance of the B sub-pixel at that gray level. Since the ratio of the average luminance values of the three sub-pixels at each gray level obtained in step S221 may be inconsistent, a luminance ratio needs to be determined, and the luminance ratio may be a preset luminance ratio or a luminance ratio of three primary colors of the target image at any gray level. And according to the determined brightness proportion, adjusting the proportion of the average value of the brightness values of the three sub-pixels under each gray level to be the brightness proportion, and obtaining the adjusted average value of the brightness of the three primary colors under each gray level. And determining the brightness average value of the three primary colors under each adjusted gray level as the brightness threshold value of the target image under each gray level.
S23, the terminal equipment determines compensation values corresponding to the gray scales respectively according to the brightness threshold and the gamma curve.
Specifically, each pixel partition under each primary color corresponds to a gamma curve, and the gamma curve is a change relation curve between brightness values and gray scales of each pixel partition under each primary color. The average brightness values of the different pixel partitions of the same primary color in the same gray level may be different, and the average brightness values of all the pixel partitions of the same primary color in the gray level need to be adjusted to be consistent, that is, the average brightness values of all the pixel partitions of the same primary color in the gray level are adjusted to be the brightness threshold value of the corresponding primary color in the gray level, so that the brightness of the same primary color in the gray level is consistent. For each gamma curve of each primary color of each pixel partition under each gray level, taking a gray value corresponding to a brightness threshold value of the primary color under the gray level on the gamma curve as a gray value under the primary color of the pixel partition, wherein the gray value is a gray compensation value under the primary color of the pixel partition, or taking a difference between the gray value and the gray value of the gray level as the gray compensation value under the primary color of the pixel partition. And under the gray scale, the gray scale compensation value under all primary colors of all pixel partitions is the compensation value corresponding to the gray scale. For example, under a gray level with a gray level value of 30, the luminance threshold value of the corresponding primary color R is 100, the luminance of the pixel partition 1 is 95, the luminance of the pixel partition 2 is 105, the luminance of the two pixel partitions at the gray level of 30 needs to be calibrated to be identical (calibrated to be the luminance threshold value of 100), the gamma1 curves and the gamma1 curves of the two partitions are calculated, and the gray level value of the pixel partition 1 corresponding to the luminance of 100 is obtained according to the gamma1 curves; and obtaining the gray scale value of the pixel partition 2 corresponding to the brightness of 100 according to the gamma2 curve, wherein the gray scale value of the pixel partition 1 and the gray scale value of the pixel partition 2 are respectively the gray scale compensation values of the pixel partition 1 and the pixel partition 2. According to the mode, the same processing is carried out on each gray level, and the compensation value corresponding to each gray level is obtained.
And S24, the terminal equipment determines gray scale compensation data corresponding to the display image according to the compensation values respectively corresponding to all the gray scales.
And merging the compensation values corresponding to all the gray scales respectively to generate a compensation file, wherein the compensation file is the gray scale compensation data corresponding to the display image in the target image. The gray-scale compensation data reflects the brightness deviation of each pixel area of each sub-pixel under each gray-scale of the display image, and the brightness of the display image under the corresponding gray-scale is compensated by a gray-scale compensation mode, so that the brightness of each display area under the same gray-scale is consistent.
And S3, the terminal equipment adjusts the display image according to the gray level compensation data to obtain an adjusted display image.
Specifically, gray-scale compensation data is written into the display to perform brightness compensation on the display image. And compensating the color cast area and the brightness area of the display in a brightness compensation mode, and adjusting the display image to obtain an adjusted display image. The writing mode of the gray-scale compensation data can write the gray-scale compensation data into the display through a serial port, a network port, a local area network or HDMI, and can also directly write the gray-scale compensation data into a chip of the display.
In one implementation, after the gray-scale compensation data is written into the display, the situation that compensation is not effective or display is abnormal may occur, and verification needs to be performed on the adjusted display image to determine whether the gray-scale compensation data is effective on the display, so that the requirement of automatic production of the display production line can be met. Specifically, a uniformity value of a display image is preset, a target image after adjustment under a certain gray level is obtained, the uniformity value of the display image corresponding to the target image after adjustment under the gray level is calculated, and meanwhile, a target image before adjustment under the gray level is obtained, and the uniformity value of the display image corresponding to the target image before adjustment is calculated. And taking the preset uniformity value as a standard value, and judging the display effect of the display image with the adjusted Europe according to the uniformity value of the display image before adjustment.
In one embodiment, the invention provides a terminal device, and the internal structure principle is shown in fig. 4. The terminal device comprises a processor, a memory, a network interface, a display screen and an input device which are connected through a system bus. Wherein the processor of the terminal device is adapted to provide computing and control capabilities. The memory of the terminal device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the terminal device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement the display image adjustment method as described above. The display screen of the terminal equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the terminal equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the terminal equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the block diagram of fig. 4 is merely a partial structure related to the present invention and does not constitute a limitation of the terminal device to which the present invention is applied, and that a specific terminal device may include more or less components than those shown in the drawings, or may combine some components, or have a different arrangement of components. In one embodiment, the present invention provides a terminal device, where the terminal device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor implements the steps of the display image adjustment method as described above when executing the computer program.
In one embodiment, the present invention provides a computer-readable storage medium having a computer program stored thereon, which when executed by a processor, implements the steps of the display image adjustment method as described above.
It is to be understood that the invention is not limited in its application to the examples described above, but is capable of modification and variation in light of the above teachings by those skilled in the art, and that all such modifications and variations are intended to be included within the scope of the appended claims.
Claims (10)
1. A display image adjustment method, characterized by comprising:
acquiring brightness data of a target image, wherein the target image is a brightness image obtained by shooting a display image on a display;
acquiring target images, and carrying out image correction processing on a display image area of each target image to obtain corrected display image areas;
extracting brightness data of the corrected display image area as brightness data of the target image;
performing tilt correction on the display image area to obtain a display image area after tilt correction;
barrel distortion correction is carried out on the display image area after inclination correction, and a corrected display image area is obtained;
determining the brightness threshold value of each primary color of the target image under each gray level, and ensuring that the brightness proportion of three sub-pixels of each pixel of the display is consistent;
determining gray-scale compensation data corresponding to the display image according to the brightness data;
and adjusting the display image according to the gray level compensation data to obtain an adjusted display image.
2. The method of claim 1, wherein the target image comprises three primary color images at least one gray level, and wherein the determining gray level compensation data corresponding to the display image from the luminance data comprises:
determining a gamma curve corresponding to each pixel partition according to the average brightness value of each pixel partition of the target image under each gray level;
determining brightness threshold values of the target image under each gray level;
according to the brightness threshold value and the gamma curve, determining compensation values corresponding to the gray scales respectively;
and determining gray scale compensation data corresponding to the display image according to the compensation values respectively corresponding to all the gray scales.
3. The method of claim 2, wherein the pixel partition comprises a 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 alternatively, the process may be performed,
the pixel partition comprises at least two pixels, and the average value of the brightness of each pixel partition in the target image under each gray level is the average value of the brightness values of all the pixels in the pixel partition under the gray level.
4. The method of claim 2, wherein the brightness threshold of the target image at each gray level is a preset brightness value; or alternatively, the process may be performed,
the determining the brightness threshold of the target image under each gray level comprises the following steps:
calculating the average value of brightness values of all pixels in the target image under each gray level;
determining brightness proportions of three primary colors of the target image;
and adjusting the average value of the brightness values under the gray scale according to the brightness proportion to obtain the adjusted average value of the brightness under the gray scale, wherein the adjusted average value of the brightness under the gray scale is the brightness threshold value of the target image under the gray scale.
5. The method of claim 4, wherein the luminance ratio of the three primary colors of the target image is a preset luminance ratio, or wherein the luminance ratio of the three primary colors of the target image is a luminance ratio of the three primary colors of the target image at any gray level.
6. The method according to claim 1, wherein the performing image correction processing on the display image area of each target image to obtain a corrected display image area includes:
for each target image, detecting the corner points of the display image area by adopting a corner point detection method;
and correcting the display image area according to the coordinates of the corner points of the display image area and the preset corner point coordinates to obtain a corrected display image area.
7. The method of claim 1, wherein the acquiring the target image performs an image correction process on a display image area of each target image, and before obtaining the corrected display image area, the method further comprises:
and adjusting the initial state of the display.
8. The method of claim 1, wherein adjusting the display image according to the gray-scale compensation data results in an adjusted display image, comprising:
writing the gray-scale compensation data into the display, and adjusting the display image of the display to obtain an adjusted display image.
9. A terminal device, characterized in that it comprises a memory, a processor and a computer program stored on the memory and executable on the processor, which processor, when executing the computer program, implements the steps of the display image adjustment method according to any one of claims 1-8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the display image adjustment method of any of claims 1 to 8.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011155681.0A CN114495816B (en) | 2020-10-26 | 2020-10-26 | Display image adjustment method, terminal device and computer readable storage medium |
| PCT/CN2021/118775 WO2022089082A1 (en) | 2020-10-26 | 2021-09-16 | Method for adjusting display image, terminal device, and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011155681.0A CN114495816B (en) | 2020-10-26 | 2020-10-26 | Display image adjustment method, terminal device and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114495816A CN114495816A (en) | 2022-05-13 |
| CN114495816B true CN114495816B (en) | 2023-06-27 |
Family
ID=81381865
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011155681.0A Active CN114495816B (en) | 2020-10-26 | 2020-10-26 | Display image adjustment method, terminal device and computer readable storage medium |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN114495816B (en) |
| WO (1) | WO2022089082A1 (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114898706B (en) * | 2022-05-18 | 2023-10-31 | 昆山国显光电有限公司 | Display screen brightness compensation method and device and computer equipment |
| CN114967289B (en) * | 2022-06-16 | 2023-09-26 | 苏州华星光电技术有限公司 | Color wheel module, brightness correction device and method of display panel and storage medium |
| CN116381983A (en) * | 2022-12-29 | 2023-07-04 | Tcl华星光电技术有限公司 | Luminance compensation method and device for display panel and display panel |
| CN116823675B (en) * | 2023-08-28 | 2023-12-08 | 禹创半导体(深圳)有限公司 | OLED panel global voltage drop compensation method, device, equipment and storage medium |
| CN117079617B (en) * | 2023-10-12 | 2024-02-13 | 惠科股份有限公司 | Brightness adjusting method for display panel and display panel |
| CN117392937B (en) * | 2023-12-13 | 2024-03-19 | 武汉精测电子集团股份有限公司 | Color point separation and demura method, device and system for white picture of display panel |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102419947B (en) * | 2011-11-21 | 2013-12-18 | 四川长虹电器股份有限公司 | Color temperature debugging method of liquid crystal display screen |
| CN107689214B (en) * | 2016-08-05 | 2020-03-24 | 青岛海信电器股份有限公司 | Backlight adjusting method and device of intelligent display equipment |
| CN106713886B (en) * | 2016-12-20 | 2018-11-02 | 深圳Tcl数字技术有限公司 | White balance adjustment device and white balance adjustment method |
| CN107045863B (en) * | 2017-06-26 | 2018-02-16 | 惠科股份有限公司 | The GTG method of adjustment and device of a kind of display panel |
| CN107507571B (en) * | 2017-08-28 | 2019-09-27 | 哈尔滨工业大学深圳研究生院 | A kind of couple of AMOLED carries out the method and device of external optical compensation |
| CN108492776B (en) * | 2018-03-29 | 2019-12-31 | 苏州佳智彩光电科技有限公司 | Intelligent external optical compensation method for AMOLED screen brightness unevenness |
| CN108877652A (en) * | 2018-06-27 | 2018-11-23 | 武汉华星光电半导体显示技术有限公司 | Optical compensation method and OLED display |
| CN108877630B (en) * | 2018-07-25 | 2021-09-14 | 昆山国显光电有限公司 | Method and device for acquiring Mura compensation data, computer equipment and storage medium |
| CN108962179B (en) * | 2018-09-19 | 2020-10-09 | 合肥鑫晟光电科技有限公司 | Display panel brightness adjusting method and assembly and display device |
| CN110827745B (en) * | 2019-12-26 | 2022-06-14 | 武汉天马微电子有限公司 | Display panel and pixel compensation data generation method and device thereof |
-
2020
- 2020-10-26 CN CN202011155681.0A patent/CN114495816B/en active Active
-
2021
- 2021-09-16 WO PCT/CN2021/118775 patent/WO2022089082A1/en active Application Filing
Also Published As
| Publication number | Publication date |
|---|---|
| CN114495816A (en) | 2022-05-13 |
| WO2022089082A1 (en) | 2022-05-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114495816B (en) | Display image adjustment method, terminal device and computer readable storage medium | |
| CN109523955B (en) | Pixel compensation method and device, storage medium and display screen | |
| CN109036271B (en) | Method and device for correcting color cast of curved screen bending area, storage medium and terminal | |
| CN107507558B (en) | Correction method of LED display screen | |
| TWI422216B (en) | Method of calculating correction value and display device | |
| WO2019100443A1 (en) | Mura compensation method and device | |
| US20150187303A1 (en) | Display apparatus and method of driving the same | |
| WO2014128821A1 (en) | Pattern position detection method, pattern position detection system, and image quality adjustment technique using pattern position detection method and pattern position detection system | |
| JP7210168B2 (en) | Display driver setting device, method, program, storage medium and display driver | |
| TWI413101B (en) | Control method for improving the luminous uniformity and related luminosity calibrating controller and display device | |
| US9508281B2 (en) | Apparatus and method for image analysis and image display | |
| CN111757029A (en) | Shadow correction detection parameter determination method, shadow correction detection device, storage medium and fisheye camera | |
| CN110650334A (en) | Dead pixel detection and correction method and device, storage medium and terminal | |
| CN113724652B (en) | Compensation method and device for Mura of OLED display panel and readable medium | |
| CN111833794A (en) | Brightness compensation method and device, parameter determination method and device and display device | |
| CN109816734B (en) | Camera calibration method based on target spectrum | |
| CN110807731A (en) | Method, apparatus, system and storage medium for compensating image dead pixel | |
| TWI715178B (en) | Display and method of reducing mura | |
| CN112788322B (en) | Adaptive white balance processing method, device, medium, and electronic apparatus | |
| CN109685794B (en) | Camera self-adaptive step length DPC algorithm and device for mobile phone screen defect detection | |
| US20080111912A1 (en) | Methods and apparatuses for generating information regarding spatial relationship between a lens and an image sensor of a digital imaging apparatus and related assembling methods | |
| CN114495812B (en) | Display panel brightness compensation method and device, electronic equipment and readable storage medium | |
| CN110650329A (en) | Method, apparatus and system for reducing crosstalk for autostereoscopic displays | |
| US20220139291A1 (en) | Method, system to compensate for mura effects in display panel, and electronic device | |
| CN112951170A (en) | Display control method and preparation method of display panel and display device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |