Search

CN-121994458-A - Display screen color gamut evaluation method and system

CN121994458ACN 121994458 ACN121994458 ACN 121994458ACN-121994458-A

Abstract

The application provides a display screen color gamut evaluation method and a system, which relate to the technical field of screen display, wherein the display screen color gamut evaluation method comprises the steps of obtaining M sampling tristimulus values which are in one-to-one correspondence with M display pictures, wherein the M display pictures are in one-to-one correspondence with M RGB values, at least one RGB value in the M RGB values is not 255, and M is an integer which is more than or equal to 3; obtaining M first color appearance data and M second color appearance data based on the M sampling tristimulus values and the M standard tristimulus values, obtaining M color difference values based on the M first color appearance data and the M second color appearance data, wherein the M color difference values are used for indicating color differences between the M first color appearance data and the M second color appearance data, and constructing a histogram based on the M color difference values, wherein the histogram is used for representing color difference distribution between a display screen color gamut and a standard color gamut. The application can improve the accuracy of the color gamut evaluation of the display screen.

Inventors

  • MEN XUEMIN

Assignees

  • 北京京东方显示技术有限公司
  • 京东方科技集团股份有限公司

Dates

Publication Date
20260508
Application Date
20260225

Claims (14)

  1. 1. A display screen color gamut evaluation method, the method comprising: Obtaining M sampling tristimulus values corresponding to M display pictures one by one, wherein the M display pictures correspond to M RGB values one by one, at least one RGB value in the M RGB values is not 255, and M is an integer greater than or equal to 3; Obtaining M first color appearance data and M second color appearance data based on the M sampling tristimulus values and the M standard tristimulus values, wherein the M standard tristimulus values are tristimulus values in a standard color gamut, the M first color appearance data are in one-to-one correspondence with the M sampling tristimulus values, and the M second color appearance data are in one-to-one correspondence with the M standard tristimulus values; Obtaining M color difference values based on the M first color feature data and the M second color feature data, wherein the M color difference values are used for indicating color differences between the M first color feature data and the M second color feature data; A histogram is constructed based on the M color difference values, the histogram being used to represent a color difference distribution between the display screen color gamut and the standard color gamut.
  2. 2. The method of claim 1, wherein the obtaining M first color profile data and M second color profile data based on the M sampled tristimulus values and M standard tristimulus values comprises: Selecting a color appearance model; And performing color appearance attribute analysis on the M sampling tristimulus values and the M standard tristimulus values based on the color appearance model to obtain M first color appearance data and M second color appearance data.
  3. 3. The method according to claim 1 or 2, wherein the obtaining M tristimulus values corresponding to M display screens one to one includes: k gray scale values are selected, wherein K is an integer greater than or equal to 2; determining the M RGB values based on the K gray scale values, wherein the M RGB values are in one-to-one correspondence with the M tristimulus values, and M=K 3 ; and constructing M display pictures based on the M RGB, and collecting the M display pictures to obtain the M sampling tristimulus values.
  4. 4. A method according to any one of claims 1 to 3, further comprising: constructing a first dot diagram of the M first color data in color gamut coordinates based on the M first color data; Constructing a second dot map of the M second color appearance data in the color gamut coordinates based on the M second color appearance data; and determining a first value based on the first dot diagram and the second dot diagram, wherein the first value is used for indicating the proportion of the color gamut of the display screen in the standard color gamut.
  5. 5. The method of claim 4, wherein determining the first value based on the first point plot and the second point plot comprises: determining a first volume of an intersection portion of the first and second point maps based on the first and second point maps; The first value is determined based on the first volume and a second volume, the second volume being the volume of the second dot plot.
  6. 6. The method according to any one of claims 1 to 5, further comprising: Constructing a first color gamut ring map of the M first color profile data in color gamut coordinates based on the M first color profile data; Constructing a second color gamut ring map of the M second color profile data in the color gamut coordinates based on the M second color profile data; And determining coverage of the color gamut of the display screen in the standard color gamut based on the first color gamut ring diagram and the second color gamut ring diagram.
  7. 7. The method of claim 6, wherein constructing a first color gamut loop map of the M first color profile data in color gamut coordinates based on the M first color profile data comprises: Constructing a first color gamut map of the M first color profile data in the color gamut coordinates based on the M first color profile data; converting the first gamut map to the first gamut ring map; the constructing a second color gamut ring map of the M second color appearance data in color gamut coordinates based on the M second color appearance data includes: constructing a second gamut map of the M second color appearance data in the gamut coordinates based on the M second color appearance data; and converting the second color gamut graph into the second color gamut ring graph.
  8. 8. The method according to any one of claims 1 to 7, further comprising: And constructing a grid graph of the M sampling tristimulus values in the color gamut coordinates based on the M RGB values.
  9. 9. The method of claim 8, wherein constructing a grid graph of the M sampled tristimulus values in color gamut coordinates based on the M RGB values comprises: constructing a first matrix and a second matrix based on the M RGB values, wherein the elements of the first matrix and the second matrix comprise the M RGB values, and the dimension of the first matrix and the dimension of the second matrix are M 2 multiplied by 1; constructing a third matrix based on the first matrix, the second matrix, the all 0 matrix and the all 1 matrix; Obtaining a reference triangle included by each face of the grid graph based on the third matrix and a fourth matrix, wherein row elements of the fourth matrix are used for indicating vertexes of the reference triangle, the dimension of the fourth matrix is T multiplied by 3, and the value of T is 6 multiplied by M; The mesh map is constructed based on the reference triangles comprised by each face of the mesh map.
  10. 10. The method according to any one of claims 3 to 9, further comprising: based on the M sampling tristimulus values, constructing a color gamut triangle graph corresponding to the K gray scale values in color gamut coordinates; and constructing a standard color gamut triangle graph in the color gamut coordinates based on the M standard tristimulus values.
  11. 11. The method according to any one of claims 1 to 10, wherein said constructing a histogram based on said M color difference values comprises: Counting the M color difference values to obtain a counting result, wherein the counting result comprises at least one of the following: The maximum color difference value of the M color difference values, the minimum color difference value of the M color difference values, the number of the color difference values of the M color difference values in a range [ n, j ] or the number of the color difference values of the M color difference values being larger than or equal to a preset threshold value, wherein 0< n < j; And constructing the histogram based on the statistical result.
  12. 12. A display screen color gamut evaluation system, the system comprising: the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring M sampling tristimulus values which are in one-to-one correspondence with M display pictures, the M display pictures are in one-to-one correspondence with M RGB values, at least one RGB value in the M RGB values is not 255, and M is an integer greater than or equal to 3; the processing module is used for obtaining M pieces of first color appearance data and M pieces of second color appearance data based on the M pieces of sampling tristimulus values and the M pieces of standard tristimulus values, wherein the M pieces of standard tristimulus values are tristimulus values in a standard color gamut, the M pieces of first color appearance data are in one-to-one correspondence with the M pieces of sampling tristimulus values, and the M pieces of second color appearance data are in one-to-one correspondence with the M pieces of standard tristimulus values; The processing module is used for obtaining M color difference values based on the M first color appearance data and the M second color appearance data, wherein the M color difference values are used for indicating the color difference between the M first color appearance data and the M second color appearance data, and A histogram is constructed based on the M color difference values, the histogram being used to represent a color difference distribution between the display screen color gamut and the standard color gamut.
  13. 13. A display screen color gamut evaluation device, comprising: processor, and A memory storing computer-executable instructions that, when executed, cause the processor to perform the method of any of claims 1 to 11.
  14. 14. A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, implements the method of any one of claims 1 to 11.

Description

Display screen color gamut evaluation method and system Technical Field The application relates to the technical field of screen display, in particular to a display screen color gamut evaluation method and a display screen color gamut evaluation system. Background With the development of display technology, the application of displays is also becoming more and more widespread, for example, from daily computer displays, television screens to display screens of various mobile devices. Therefore, the higher the requirements for the display screen color gamut, the more natural colors the display screen color gamut accommodates, and the richer the pictures of the display. By evaluating the color gamut of the display screen, the color displayed by the display screen can be analyzed to evaluate the display quality of the display. At present, a method for evaluating the color gamut of a display screen through an artificial color card excessively depends on perception of operators, and has strong subjectivity, low efficiency and inaccurate evaluation results. The chromaticity can be well evaluated by the method for evaluating the display screen color gamut through the two-dimensional color gamut, but as the coverage of the display screen color gamut is wider and wider, the two-dimensional color gamut evaluation mode cannot distinguish the real color difference of the display screen, and cannot evaluate the color performance of the display under different brightness. Therefore, how to improve the accuracy of the display screen color gamut evaluation is a problem to be solved. Disclosure of Invention The application provides a display screen color gamut evaluation method and a system, which are used for performing color difference analysis between sampling tristimulus values corresponding to any RGB and tristimulus values in a standard color gamut and visually representing color differences between the display screen color gamut and the standard color gamut by combining a histogram, so that the color gamut under any gray scale can be evaluated, and the accuracy of the display screen color gamut evaluation is improved. The first aspect provides a display screen color gamut evaluation method, which comprises the steps of obtaining M sampling tristimulus values corresponding to M display pictures one by one, wherein the M display pictures are corresponding to M RGB values one by one, at least one RGB value in the M RGB values is not 255, M is an integer greater than or equal to 3, obtaining M first color appearance data and M second color appearance data based on the M sampling tristimulus values and the M standard tristimulus values, the M standard tristimulus values are tristimulus values in a standard color gamut, the M first color appearance data are corresponding to the M sampling tristimulus values one by one, the M second color appearance data are corresponding to the M standard tristimulus values one by one, obtaining M color difference values based on the M first color appearance data and the M second color appearance data, and the M color difference values are used for indicating color differences between the M first color appearance data and the M second color appearance data, and constructing a histogram based on the M color difference values, wherein the histogram is used for representing color difference distribution between a display screen and a standard color gamut. In the embodiment of the application, the color difference analysis is carried out between the sampling tristimulus values corresponding to any RGB and the tristimulus values in the standard color gamut, and the color difference between the display screen color gamut and the standard color gamut is intuitively represented by combining the histogram, so that the color gamut under any gray scale can be evaluated, and the accuracy of evaluating the display screen color gamut is improved. With reference to the first aspect, in some implementations of the first aspect, obtaining M first color data and M second color data based on the M sampled tristimulus values and the M standard tristimulus values includes selecting a color appearance model, and performing color appearance attribute analysis on the M sampled tristimulus values and the M standard tristimulus values based on the color appearance model to obtain M first color appearance data and M second color appearance data. With reference to the first aspect, in some implementations of the first aspect, obtaining M tristimulus values corresponding to M display frames one by one includes selecting K gray-scale values, where K is an integer greater than or equal to 2, determining M RGB values based on the K gray-scale values, where the M RGB values correspond to the M tristimulus values one by one, and m=k 3, constructing M display frames based on the M RGB values, and collecting the M display frames to obtain M sampled tristimulus values. With reference to the first aspect, in some implementation