Backlight module color gamut contrast optimization method and system of biprism and medium

Abstract

The invention provides a biprism backlight module color gamut comparison optimization method and system and a medium. The method comprises the following steps: acquiring color gamut characteristic data and display characteristic data of a target screen before optimization, respectively processing to obtain a corresponding color gamut accuracy index and a display accuracy index, further performing screen performance evaluation to obtain a screen performance index, judging a screen performance effect, and if the screen performance effect does not reach the standard, executing the step of executing the step of executing the step of executing the step of executing the step of executing the step of executing the step of executing the step of executing the step of executing the step of executing the step. The method comprises the following steps: optimizing a target screen, carrying out performance test on the optimized target screen, extracting optimized color gamut feature data and optimized display feature data, carrying out comparison processing in combination with pre-optimization color gamut feature data and pre-optimization display feature data to obtain a color gamut optimization effect index and a display optimization effect index, and carrying out further processing. And a screen performance optimization effect index is obtained, and adjustment measures are taken correspondingly, so that the color gamut contrast optimization technology of the biprism backlight module is realized.

Description

Technical Field

[0001] The present application relates to the technical field of backlight module color gamut, and in particular to a method, system and medium for optimizing color gamut contrast of a dual-prism backlight module. Background Art

[0002] With the continuous development of display technology, MiniLED backlight modules have gradually become the mainstream of the market due to their advantages such as high brightness and high contrast. However, the current MiniLED backlight modules still have room for improvement in color gamut performance, especially in color and display accuracy and contrast, which makes it difficult to meet users' demand for high-quality visual experience. The traditional dual-prism backlight module color gamut comparison optimization method is relatively simple and cannot comprehensively analyze the color gamut performance, and cannot accurately and efficiently optimize the color gamut of the MiniLED backlight module.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of the present application is to provide a method, system and medium for optimizing the color gamut contrast of a backlight module of a dual prism. The method can obtain the color gamut feature data of a target screen before optimization and the display feature data before optimization, respectively process and obtain the corresponding color gamut accuracy index and display accuracy index, further perform screen performance evaluation, obtain the screen performance index, and judge the screen performance effect. If the screen performance effect does not meet the standard, optimize the target screen, perform performance testing on the optimized target screen, extract the optimized color gamut feature data and the optimized display feature data, compare and process the color gamut feature data before optimization and the display feature data before optimization, obtain the color gamut optimization effect index and the display optimization effect index, further process and obtain the screen performance optimization effect index, and take corresponding adjustment measures to realize the technology of color gamut contrast optimization of a backlight module of a dual prism.

[0005] The present application also provides a method for optimizing color gamut contrast of a dual-prism backlight module, comprising the following steps: Obtaining the color gamut characteristic data and the display characteristic data of the target screen before optimization, and processing them to obtain the corresponding color gamut accuracy index and display accuracy index respectively; Performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index, and determining a screen performance effect; If the screen performance effect does not meet the standard, optimize the target screen; Performing a performance test on the optimized target screen, and extracting optimized color gamut feature data and optimized display feature data according to the test results; Performing comparison processing based on the post-optimization color gamut feature data and the pre-optimization color gamut feature data to obtain a color gamut optimization effect index; Comparing the display characteristic data after optimization with the display characteristic data before optimization, to obtain a display optimization effect index; Processing is performed according to the color gamut optimization effect index and the display optimization effect index to obtain a screen performance optimization effect index, and corresponding adjustment measures are taken.

[0006] Optionally, in the dual-prism backlight module color gamut contrast optimization method described in the present application, the step of obtaining the color gamut feature data before optimization and the display feature data before optimization of the target screen, and processing them to obtain the corresponding color gamut accuracy index and display accuracy index, respectively, includes: Collect parameter information of the target screen, and extract color gamut feature data before optimization and display feature data before optimization; The color gamut characteristic data before optimization includes color gamut coverage data before optimization, color accuracy data before optimization, and color uniformity data before optimization; The display characteristic data before optimization includes brightness uniformity data before optimization, contrast data before optimization, and spectral distribution uniformity data before optimization; Processing the color gamut coverage data before optimization, the color accuracy data before optimization, and the color uniformity data before optimization to obtain a color gamut accuracy index; The display accuracy index is obtained by processing the brightness uniformity data before optimization, the contrast data before optimization, and the spectral distribution uniformity data before optimization.

[0007] Optionally, in the dual-prism backlight module color gamut contrast optimization method described in the present application, the screen performance evaluation is performed according to the color gamut accuracy index and the display accuracy index to obtain the screen performance index, and the screen performance effect is judged, including: Performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index; Comparing the screen performance index with a preset screen performance threshold to obtain a corresponding first threshold comparison result; Determining whether the screen performance effect meets the standard according to the first threshold comparison result; If the first threshold comparison result is greater than or equal to a preset threshold, the screen performance effect meets the standard; If the first threshold comparison result is less than a preset threshold, the screen performance effect does not meet the standard.

[0008] Optionally, in the dual-prism backlight module color gamut contrast optimization method described in the present application, the performance test of the optimized target screen is performed, and the optimized color gamut feature data and optimized display feature data are extracted according to the test results, including: Performing performance tests on the optimized target screen, including color gamut coverage test, color accuracy test, color uniformity test, brightness uniformity test, contrast test, and spectral distribution uniformity test, and recording the test results; Extracting optimized color gamut feature data and optimized display feature data according to the test results; The optimized color gamut characteristic data includes optimized color gamut coverage data, optimized color accuracy data, and optimized color uniformity data; The optimized display characteristic data includes optimized brightness uniformity data, optimized contrast data and optimized spectral distribution uniformity data.

[0009] Optionally, in the dual-prism backlight module color gamut contrast optimization method described in the present application, performing contrast processing based on the optimized color gamut feature data combined with the pre-optimization color gamut feature data to obtain a color gamut optimization effect index includes: According to the optimized color gamut coverage data, optimized color accuracy data, and optimized color uniformity data, a comparative process is performed in combination with the color gamut coverage data, the color accuracy data, and the color uniformity data before optimization, to obtain color gamut coverage improvement value data, color accuracy improvement value data, and color uniformity improvement value data accordingly; The color gamut coverage improvement value data, the color accuracy improvement value data, and the color uniformity improvement value data are processed to obtain a color gamut optimization effect index.

[0010] Optionally, in the dual-prism backlight module color gamut contrast optimization method described in the present application, the color gamut optimization effect index and the display optimization effect index are processed to obtain the screen performance optimization effect index, and corresponding adjustment measures are taken, including: Processing the color gamut optimization effect index and the display optimization effect index through a preset screen color gamut optimization evaluation model to obtain a screen performance optimization effect index; Comparing the screen performance optimization effect index with a preset screen performance optimization effect threshold to obtain a corresponding second threshold comparison result; Determining whether the color gamut optimization of the target screen meets the requirements according to the comparison result of the second threshold value; If the second threshold comparison result is less than the preset threshold, the color gamut optimization of the target screen cannot meet the requirements and corresponding adjustment measures need to be taken.

[0011] In a second aspect, the present application provides a dual-prism backlight module color gamut contrast optimization system, the system comprising: a memory and a processor, the memory comprising a program of a dual-prism backlight module color gamut contrast optimization method, and the program of the dual-prism backlight module color gamut contrast optimization method is executed by the processor to implement the following steps: Obtaining the color gamut characteristic data and the display characteristic data of the target screen before optimization, and processing them to obtain the corresponding color gamut accuracy index and display accuracy index respectively; Performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index, and determining a screen performance effect; If the screen performance effect does not meet the standard, optimize the target screen; Performing a performance test on the optimized target screen, and extracting optimized color gamut feature data and optimized display feature data according to the test results; Performing comparison processing based on the post-optimization color gamut feature data and the pre-optimization color gamut feature data to obtain a color gamut optimization effect index; Comparing the display characteristic data after optimization with the display characteristic data before optimization, to obtain a display optimization effect index; Processing is performed according to the color gamut optimization effect index and the display optimization effect index to obtain a screen performance optimization effect index, and corresponding adjustment measures are taken.

[0012] Optionally, in the dual-prism backlight module color gamut contrast optimization system described in the present application, the step of obtaining the color gamut feature data before optimization and the display feature data before optimization of the target screen, and processing them to obtain the corresponding color gamut accuracy index and display accuracy index, respectively, includes: Collect parameter information of the target screen, and extract color gamut feature data before optimization and display feature data before optimization; The color gamut characteristic data before optimization includes color gamut coverage data before optimization, color accuracy data before optimization, and color uniformity data before optimization; The display characteristic data before optimization includes brightness uniformity data before optimization, contrast data before optimization, and spectral distribution uniformity data before optimization; Processing the color gamut coverage data before optimization, the color accuracy data before optimization, and the color uniformity data before optimization to obtain a color gamut accuracy index; The display accuracy index is obtained by processing the brightness uniformity data before optimization, the contrast data before optimization, and the spectral distribution uniformity data before optimization.

[0013] Optionally, in the dual-prism backlight module color gamut contrast optimization system described in the present application, the screen performance evaluation is performed according to the color gamut accuracy index and the display accuracy index to obtain the screen performance index, and the screen performance effect is judged, including: Performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index; Comparing the screen performance index with a preset screen performance threshold to obtain a corresponding first threshold comparison result; Determining whether the screen performance effect meets the standard according to the first threshold comparison result; If the first threshold comparison result is greater than or equal to a preset threshold, the screen performance effect meets the standard; If the first threshold comparison result is less than a preset threshold, the screen performance effect does not meet the standard.

[0014] In the third aspect, the present application also provides a computer-readable storage medium, which stores a program for a method for optimizing the color gamut contrast of a dual-prism backlight module. When the program for optimizing the color gamut contrast of a dual-prism backlight module is executed by a processor, the steps of the method for optimizing the color gamut contrast of a dual-prism backlight module as described in any one of the above items are implemented.

[0015] As can be seen from the above, the dual-prism backlight module color gamut contrast optimization method, system and medium disclosed in the present invention obtain the color gamut feature data before optimization and the display feature data before optimization of the target screen, respectively process and obtain the corresponding color gamut accuracy index and display accuracy index, perform screen performance evaluation based on the color gamut accuracy index and the display accuracy index, obtain the screen performance index, and judge the screen performance effect. If the screen performance effect does not meet the standard, optimize the target screen, perform performance testing on the optimized target screen, extract the optimized color gamut feature data and the optimized display feature data based on the test results, perform comparative processing based on the optimized color gamut feature data combined with the color gamut feature data before optimization, obtain the color gamut optimization effect index, perform comparative processing based on the optimized display feature data combined with the display feature data before optimization, obtain the display optimization effect index, perform processing based on the color gamut optimization effect index and the display optimization effect index, obtain the screen performance optimization effect index, and take corresponding adjustment measures, thereby realizing the technology of color gamut contrast optimization of the dual-prism backlight module.

[0016] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flow chart of a method for optimizing color gamut contrast of a backlight module of a dual prism provided in an embodiment of the present application; Figure 2 A flow chart of judging the screen performance effect of the dual-prism backlight module color gamut comparison optimization method provided in an embodiment of the present application; Figure 3 A flow chart of extracting optimized color gamut feature data and optimized display feature data of a dual-prism backlight module color gamut contrast optimization method provided in an embodiment of the present application; Figure 4 A flow chart of obtaining a color gamut optimization effect index for a color gamut contrast optimization method for a dual-prism backlight module provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0020] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0021] Please refer to Figure 1 , Figure 1 The flowchart of the method for optimizing the color gamut contrast of the backlight module of the dual prism in some embodiments of the present application. The method for optimizing the color gamut contrast of the backlight module of the dual prism is used in terminal devices, such as computers, mobile phone terminals, etc. The method for optimizing the color gamut contrast of the backlight module of the dual prism comprises the following steps: S11, obtaining color gamut characteristic data and display characteristic data of the target screen before optimization, and processing them to obtain corresponding color gamut accuracy index and display accuracy index respectively; S12, performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index, obtaining a screen performance index, and determining a screen performance effect; S13, if the screen performance effect does not meet the standard, optimizing the target screen; S14, performing a performance test on the optimized target screen, and extracting optimized color gamut feature data and optimized display feature data according to the test results; S15, performing comparison processing based on the color gamut feature data after optimization and the color gamut feature data before optimization to obtain a color gamut optimization effect index; S16, performing comparison processing based on the display characteristic data after optimization and the display characteristic data before optimization to obtain a display optimization effect index; S17. Processing is performed according to the color gamut optimization effect index and the display optimization effect index to obtain a screen performance optimization effect index, and corresponding adjustment measures are taken.

[0022] It should be noted that with the continuous development of display technology, MiniLED backlight modules have gradually become the mainstream of the market due to their advantages such as high brightness and high contrast. However, the current MiniLED backlight modules still have room for improvement in color gamut performance, especially in terms of color and display accuracy and contrast, which makes it difficult to meet users' demand for high-quality visual experience. The traditional dual-prism backlight module color gamut contrast optimization method is relatively simple and cannot comprehensively analyze the color gamut performance, and cannot accurately and efficiently optimize the color gamut of the MiniLED backlight module. Therefore, a more intelligent and efficient backlight module color gamut contrast optimization method is needed. In this embodiment, the color gamut feature data before optimization and the display feature data before optimization of the target screen are first obtained, and the corresponding color gamut accuracy index and Display accuracy index, evaluate screen performance based on the color gamut accuracy index and the display accuracy index, obtain the screen performance index, and judge the screen performance effect. If the screen performance effect does not meet the standard, optimize the target screen, perform performance test on the optimized target screen, extract the optimized color gamut feature data and the optimized display feature data based on the test results, compare and process the optimized color gamut feature data with the color gamut feature data before optimization, and obtain the color gamut optimization effect index, compare and process the optimized display feature data with the display feature data before optimization, and obtain the display optimization effect index, process according to the color gamut optimization effect index and the display optimization effect index, and obtain the screen performance optimization effect index, and take corresponding adjustment measures, thereby realizing the technology of color gamut contrast optimization of the dual prism backlight module.

[0023] According to an embodiment of the present invention, the step of acquiring the color gamut feature data and the display feature data of the target screen before optimization, and processing them to obtain the corresponding color gamut accuracy index and display accuracy index, respectively, includes: Collect parameter information of the target screen, and extract color gamut feature data before optimization and display feature data before optimization; The color gamut characteristic data before optimization includes color gamut coverage data before optimization, color accuracy data before optimization, and color uniformity data before optimization; The display characteristic data before optimization includes brightness uniformity data before optimization, contrast data before optimization, and spectral distribution uniformity data before optimization; Processing the color gamut coverage data before optimization, the color accuracy data before optimization, and the color uniformity data before optimization to obtain a color gamut accuracy index; The display accuracy index is obtained by processing the brightness uniformity data before optimization, the contrast data before optimization, and the spectral distribution uniformity data before optimization.

[0024] It should be noted that before optimizing the target screen, in order to better understand the color gamut performance status of the MiniLED backlight module of the screen, it is necessary to collect parameter information of the target screen and extract the color gamut feature data before optimization and the display feature data before optimization. The color gamut feature data before optimization includes the color gamut coverage data before optimization, the color accuracy data before optimization and the color uniformity data before optimization. Common color gamut standards include sRGB, Adobe RGB, DCI-P3, etc. For example, if the DCI-P3 color gamut coverage of a display reaches 95%, it means that it can display 95% of the colors in the DCI-P3 standard color gamut. The higher the coverage, the wider the color range that the backlight module can present and the richer the colors. Color accuracy (ΔE) refers to the degree of difference between the display color and the standard color. The smaller the ΔE value, the higher the color accuracy and the better the color accuracy. The color accuracy ΔE value of general professional displays is less than 2. For the dual-prism MiniLED backlight module, the smaller the ΔE, the more accurate the color presentation within the color gamut can be guaranteed. Color uniformity refers to whether the color performance of different areas of the screen is consistent. The uniformity index can be calculated by measuring the color parameters of each position of the screen, such as brightness, chromaticity, etc. The display feature data before optimization includes the brightness uniformity data before optimization, the contrast data before optimization, and the spectral distribution uniformity data before optimization. Among them, spectral distribution uniformity means that under ideal conditions, the spectrum of the MiniLED backlight module should have good uniformity in the entire visible spectrum range, so as to ensure the balanced display effect of various colors. Among them, the color gamut feature data before optimization is processed to obtain the color gamut accuracy index, and the display feature data before optimization is processed to obtain the display accuracy index; The calculation formula of the color gamut accuracy index is: ; in, is the color gamut accuracy index, , , They are the color gamut coverage data before optimization, the color accuracy data before optimization, and the color uniformity data before optimization. , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database); wherein, various parameters and characteristic coefficients in the calculation formula of this technology can be obtained by querying the data source or data mapping table of the third-party preset backlight module color gamut comparison optimization database. The third-party preset backlight module color gamut comparison optimization database is the information data source for information data acquisition, interaction and processing during the implementation of this solution. This calculation method and formula are obtained by the technical solution of this application through code call and translation based on system software and tools; The calculation formula of the display accuracy index is: ; in, To show the accuracy index, , , They are brightness uniformity data before optimization, contrast data before optimization, and spectral distribution uniformity before optimization. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database).

[0025] Please refer to Figure 2 , Figure 2 The present invention is a flowchart of a method for optimizing the color gamut contrast of a dual prism backlight module in some embodiments of the present invention for determining screen performance effects. According to an embodiment of the present invention, the screen performance evaluation is performed based on the color gamut accuracy index and the display accuracy index to obtain a screen performance index, and the screen performance effect is determined, including: S21, performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index; S22, comparing the screen performance index with a preset screen performance threshold to obtain a corresponding first threshold comparison result; S23, judging whether the screen performance effect meets the standard according to the first threshold comparison result; S24. If the first threshold comparison result is greater than or equal to a preset threshold, the screen performance effect meets the standard; S25. If the first threshold comparison result is less than a preset threshold, the screen performance effect does not meet the standard.

[0026] It should be noted that in order to more accurately judge the performance status of the target screen before optimization, the screen performance is evaluated by a calculation formula according to the color gamut accuracy index and the display accuracy index that have been obtained, and the screen performance index is obtained, and then compared with the preset screen performance threshold, and the corresponding first threshold comparison result is obtained, and it is judged whether the screen performance effect meets the standard. If the first threshold comparison result is greater than or equal to the preset threshold, the screen performance effect meets the standard. Otherwise, if the first threshold comparison result is less than the preset threshold, the screen performance effect does not meet the standard and needs to be optimized. The calculation formula of the screen performance index is: ; in, is the screen performance index, , They are the color gamut accuracy index and the display accuracy index. It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database).

[0027] Please refer to Figure 3 , Figure 3 The present invention is a flowchart of extracting optimized color gamut feature data and optimized display feature data of a dual prism backlight module color gamut contrast optimization method in some embodiments of the present application. According to an embodiment of the present invention, the performance test of the optimized target screen is performed, and the optimized color gamut feature data and optimized display feature data are extracted according to the test results, including: S31, performing performance tests on the optimized target screen, including color gamut coverage test, color accuracy test, color uniformity test, brightness uniformity test, contrast test, and spectral distribution uniformity test, and recording the test results; S32, extracting optimized color gamut feature data and optimized display feature data according to the test results; S33, the optimized color gamut feature data includes optimized color gamut coverage data, optimized color accuracy data and optimized color uniformity data; S34, the optimized display characteristic data includes optimized brightness uniformity data, optimized contrast data and optimized spectral distribution uniformity data.

[0028] It should be noted that the target screen that does not meet the performance standards is subjected to dual-prism-based backlight module color gamut comparison optimization, and the optimized screen is subjected to performance testing, including color gamut coverage test, color accuracy test, color uniformity test, brightness uniformity test, contrast test, and spectral distribution uniformity test. The test results are recorded, and performance data is extracted from the result recorded data, including optimized color gamut coverage data, optimized color accuracy data, optimized color uniformity data, optimized brightness uniformity data, optimized contrast data, and optimized spectral distribution uniformity data.

[0029] Please refer to Figure 4 , Figure 4 The present invention is a flowchart of obtaining a color gamut optimization effect index of a dual prism backlight module color gamut contrast optimization method in some embodiments of the present invention. According to an embodiment of the present invention, the color gamut optimization effect index is obtained by performing contrast processing based on the optimized color gamut feature data combined with the pre-optimized color gamut feature data, including: S41, performing comparison processing based on the optimized color gamut coverage data, the optimized color accuracy data, and the optimized color uniformity data in combination with the color gamut coverage data, the color accuracy data, and the color uniformity data before optimization, and correspondingly obtaining color gamut coverage improvement value data, color accuracy improvement value data, and color uniformity improvement value data; S42: Process the color gamut coverage improvement value data, the color accuracy improvement value data, and the color uniformity improvement value data to obtain a color gamut optimization effect index.

[0030] It should be noted that by comparing the changes in the screen color gamut characteristics before and after optimization, including color gamut coverage, color accuracy and color uniformity, and by one-to-one comparison, the corresponding improvement values ​​are obtained, including the color gamut coverage improvement value, color accuracy improvement value and color uniformity improvement value data. Further, by processing through the calculation formula, the color gamut optimization effect index can be obtained; The calculation formula of the color gamut optimization effect index is: ; in, For the color gamut optimization effect index, , , They are the color gamut coverage improvement value data, color accuracy improvement value data, and color uniformity improvement value data. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database).

[0031] According to an embodiment of the present invention, the processing according to the color gamut optimization effect index and the display optimization effect index to obtain the screen performance optimization effect index, and taking adjustment measures accordingly, includes: Processing the color gamut optimization effect index and the display optimization effect index through a preset screen color gamut optimization evaluation model to obtain a screen performance optimization effect index; Comparing the screen performance optimization effect index with a preset screen performance optimization effect threshold to obtain a corresponding second threshold comparison result; Determining whether the color gamut optimization of the target screen meets the requirements according to the comparison result of the second threshold value; If the second threshold comparison result is less than the preset threshold, the color gamut optimization of the target screen cannot meet the requirements and corresponding adjustment measures need to be taken.

[0032] It should be noted that the optimization effect of the screen needs to be further judged. Therefore, the color gamut optimization effect index and the display optimization effect index are processed by the calculation formula of the preset screen color gamut optimization evaluation model to obtain the screen performance optimization effect index, and then compared with the preset screen performance optimization effect threshold to obtain the corresponding second threshold comparison result. According to the second threshold comparison result, it is judged whether the color gamut optimization of the target screen meets the requirements. If the second threshold comparison result is less than the preset threshold, the color gamut optimization of the target screen cannot meet the requirements, and corresponding adjustment measures need to be taken; The calculation formula of the screen performance optimization effect index is: ; in, Optimize the screen performance index. , They are color gamut optimization effect index and display optimization effect index respectively. It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database).

[0033] According to an embodiment of the present invention, it also includes: The performing comparison processing based on the display characteristic data after optimization and the display characteristic data before optimization to obtain the display optimization effect index specifically includes: According to the optimized brightness uniformity data, optimized contrast data and optimized spectral distribution uniformity data, combined with the brightness uniformity data before optimization, the contrast data before optimization and the spectral distribution uniformity data before optimization, comparative processing is performed to obtain brightness uniformity improvement value data, contrast improvement value data and spectral distribution uniformity improvement value data accordingly; Processing the brightness uniformity improvement value data, the contrast improvement value data, and the spectral distribution uniformity improvement value data to obtain a display optimization effect index; The calculation formula of the display optimization effect index is: ; in, To display the optimization effect index, , , They are brightness uniformity improvement value data, contrast improvement value data, and spectral distribution uniformity improvement value data. , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database).

[0034] It should be noted that by comparing the changes in screen display characteristics before and after optimization, including brightness uniformity, contrast, and spectral distribution uniformity after optimization, and through one-to-one comparison, the corresponding improvement values ​​are obtained, including the brightness uniformity improvement value, contrast improvement value, and spectral distribution uniformity improvement value data. Further, through processing through the calculation formula, the display optimization effect index can be obtained.

[0035] According to an embodiment of the present invention, it also includes: If the second threshold comparison result is greater than or equal to the preset threshold, the color gamut optimization of the target screen meets the requirements; Further obtaining the response time data, power consumption data and reflectivity data corresponding to the target screen before and after optimization; Comparing the response time data, power consumption data and reflectivity data before and after the optimization, corresponding response time improvement value data, power consumption improvement value data and reflectivity improvement value data are obtained; Processing is performed according to the response time improvement value data, the power consumption improvement value data, and the reflectivity improvement value data to obtain a function optimization effect index; Comparing the function optimization effect index with a preset function optimization effect threshold to obtain a corresponding third threshold comparison result; Determining whether the screen function optimization effect meets the standard according to the comparison result of the third threshold value; If the third threshold comparison result is greater than or equal to the preset threshold, the screen function optimization effect meets the standard; If the threshold comparison result is less than the preset threshold, the screen function optimization effect does not meet the standard; The calculation formula of the function optimization effect index is: ; in, To optimize the effect index of the function, , , They are response time improvement value data, power consumption improvement value data, and reflectivity improvement value data. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database).

[0036] It should be noted that if the color gamut optimization of the target screen meets the requirements, it is possible to further determine whether other indicators of the screen also meet the standards. Specifically, obtain the corresponding response time data, power consumption data, and reflectivity data of the target screen before and after optimization, and then compare them one by one to obtain the corresponding improvement values, including the response time improvement value, power consumption improvement value, and reflectivity improvement value data. Then, through the calculation formula, the functional optimization effect index is obtained, and compared with the preset threshold. The comparison results are used to determine whether the functional optimization effect of the screen also meets the standards.

[0037] In a second aspect, the present invention further discloses a dual-prism backlight module color gamut contrast optimization system, comprising a memory and a processor, wherein the memory comprises a dual-prism backlight module color gamut contrast optimization method program, and when the dual-prism backlight module color gamut contrast optimization method program is executed by the processor, the following steps are implemented: Obtaining the color gamut characteristic data and the display characteristic data of the target screen before optimization, and processing them to obtain the corresponding color gamut accuracy index and display accuracy index respectively; Performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index, and determining a screen performance effect; If the screen performance effect does not meet the standard, optimize the target screen; Performing a performance test on the optimized target screen, and extracting optimized color gamut feature data and optimized display feature data according to the test results; Performing comparison processing based on the post-optimization color gamut feature data and the pre-optimization color gamut feature data to obtain a color gamut optimization effect index; Comparing the display characteristic data after optimization with the display characteristic data before optimization, to obtain a display optimization effect index; Processing is performed according to the color gamut optimization effect index and the display optimization effect index to obtain a screen performance optimization effect index, and corresponding adjustment measures are taken.

[0038] It should be noted that with the continuous development of display technology, MiniLED backlight modules have gradually become the mainstream of the market due to their advantages such as high brightness and high contrast. However, the current MiniLED backlight modules still have room for improvement in color gamut performance, especially in terms of color and display accuracy and contrast, which makes it difficult to meet users' demand for high-quality visual experience. The traditional dual-prism backlight module color gamut contrast optimization method is relatively simple and cannot comprehensively analyze the color gamut performance, and cannot accurately and efficiently optimize the color gamut of the MiniLED backlight module. Therefore, a more intelligent and efficient backlight module color gamut contrast optimization method is needed. In this embodiment, the color gamut feature data before optimization and the display feature data before optimization of the target screen are first obtained, and the corresponding color gamut accuracy index and Display accuracy index, evaluate screen performance based on the color gamut accuracy index and the display accuracy index, obtain the screen performance index, and judge the screen performance effect. If the screen performance effect does not meet the standard, optimize the target screen, perform performance test on the optimized target screen, extract the optimized color gamut feature data and the optimized display feature data based on the test results, compare and process the optimized color gamut feature data with the color gamut feature data before optimization, and obtain the color gamut optimization effect index, compare and process the optimized display feature data with the display feature data before optimization, and obtain the display optimization effect index, process according to the color gamut optimization effect index and the display optimization effect index, and obtain the screen performance optimization effect index, and take corresponding adjustment measures, thereby realizing the technology of color gamut contrast optimization of the dual prism backlight module.

[0039] According to an embodiment of the present invention, the step of acquiring the color gamut feature data and the display feature data of the target screen before optimization, and processing them to obtain the corresponding color gamut accuracy index and display accuracy index, respectively, includes: Collect parameter information of the target screen, and extract color gamut feature data before optimization and display feature data before optimization; The color gamut characteristic data before optimization includes color gamut coverage data before optimization, color accuracy data before optimization, and color uniformity data before optimization; The display characteristic data before optimization includes brightness uniformity data before optimization, contrast data before optimization, and spectral distribution uniformity data before optimization; Processing the color gamut coverage data before optimization, the color accuracy data before optimization, and the color uniformity data before optimization to obtain a color gamut accuracy index; The display accuracy index is obtained by processing the brightness uniformity data before optimization, the contrast data before optimization, and the spectral distribution uniformity data before optimization.

[0040] It should be noted that before optimizing the target screen, in order to better understand the color gamut performance status of the MiniLED backlight module of the screen, it is necessary to collect parameter information of the target screen and extract the color gamut feature data before optimization and the display feature data before optimization. The color gamut feature data before optimization includes the color gamut coverage data before optimization, the color accuracy data before optimization and the color uniformity data before optimization. Common color gamut standards include sRGB, Adobe RGB, DCI-P3, etc. For example, if the DCI-P3 color gamut coverage of a display reaches 95%, it means that it can display 95% of the colors in the DCI-P3 standard color gamut. The higher the coverage, the wider the color range that the backlight module can present and the richer the colors. Color accuracy (ΔE) refers to the degree of difference between the display color and the standard color. The smaller the ΔE value, the higher the color accuracy and the better the color accuracy. The color accuracy ΔE value of general professional displays is less than 2. For the dual-prism MiniLED backlight module, the smaller the ΔE, the more accurate the color presentation within the color gamut can be guaranteed. Color uniformity refers to whether the color performance of different areas of the screen is consistent. The uniformity index can be calculated by measuring the color parameters of each position of the screen, such as brightness, chromaticity, etc. The display feature data before optimization includes the brightness uniformity data before optimization, the contrast data before optimization, and the spectral distribution uniformity data before optimization. Among them, spectral distribution uniformity means that under ideal conditions, the spectrum of the MiniLED backlight module should have good uniformity in the entire visible spectrum range, so as to ensure the balanced display effect of various colors. Among them, the color gamut feature data before optimization is processed to obtain the color gamut accuracy index, and the display feature data before optimization is processed to obtain the display accuracy index; The calculation formula of the color gamut accuracy index is: ; in, is the color gamut accuracy index, , , They are the color gamut coverage data before optimization, the color accuracy data before optimization, and the color uniformity data before optimization. , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database); wherein, various parameters and characteristic coefficients in the calculation formula of this technology can be obtained by querying the data source or data mapping table of the third-party preset backlight module color gamut comparison optimization database. The third-party preset backlight module color gamut comparison optimization database is the information data source for information data acquisition, interaction and processing during the implementation of this solution. This calculation method and formula are obtained by the technical solution of this application through code call and translation based on system software and tools; The calculation formula of the display accuracy index is: ; in, To show the accuracy index, , , They are brightness uniformity data before optimization, contrast data before optimization, and spectral distribution uniformity before optimization. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database).

[0041] According to an embodiment of the present invention, performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index and determine the screen performance effect includes: Performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index; Comparing the screen performance index with a preset screen performance threshold to obtain a corresponding first threshold comparison result; Determining whether the screen performance effect meets the standard according to the first threshold comparison result; If the first threshold comparison result is greater than or equal to a preset threshold, the screen performance effect meets the standard; If the first threshold comparison result is less than a preset threshold, the screen performance effect does not meet the standard.

[0042] It should be noted that in order to more accurately judge the performance status of the target screen before optimization, the screen performance is evaluated by a calculation formula according to the color gamut accuracy index and the display accuracy index that have been obtained, and the screen performance index is obtained, and then compared with the preset screen performance threshold, and the corresponding first threshold comparison result is obtained, and it is judged whether the screen performance effect meets the standard. If the first threshold comparison result is greater than or equal to the preset threshold, the screen performance effect meets the standard. Otherwise, if the first threshold comparison result is less than the preset threshold, the screen performance effect does not meet the standard and needs to be optimized. The calculation formula of the screen performance index is: ; in, is the screen performance index, , They are the color gamut accuracy index and the display accuracy index. It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database).

[0043] According to an embodiment of the present invention, the step of performing a performance test on the optimized target screen and extracting optimized color gamut feature data and optimized display feature data according to the test results includes: Performing performance tests on the optimized target screen, including color gamut coverage test, color accuracy test, color uniformity test, brightness uniformity test, contrast test, and spectral distribution uniformity test, and recording the test results; Extracting optimized color gamut feature data and optimized display feature data according to the test results; The optimized color gamut characteristic data includes optimized color gamut coverage data, optimized color accuracy data, and optimized color uniformity data; The optimized display characteristic data includes optimized brightness uniformity data, optimized contrast data and optimized spectral distribution uniformity data.

[0044] It should be noted that the target screen that does not meet the performance standards is subjected to dual-prism-based backlight module color gamut comparison optimization, and the optimized screen is subjected to performance testing, including color gamut coverage test, color accuracy test, color uniformity test, brightness uniformity test, contrast test, and spectral distribution uniformity test. The test results are recorded, and performance data is extracted from the result recorded data, including optimized color gamut coverage data, optimized color accuracy data, optimized color uniformity data, optimized brightness uniformity data, optimized contrast data, and optimized spectral distribution uniformity data.

[0045] According to an embodiment of the present invention, performing comparison processing based on the optimized color gamut feature data and the pre-optimization color gamut feature data to obtain a color gamut optimization effect index includes: According to the optimized color gamut coverage data, optimized color accuracy data, and optimized color uniformity data, a comparative process is performed in combination with the color gamut coverage data, the color accuracy data, and the color uniformity data before optimization, to obtain color gamut coverage improvement value data, color accuracy improvement value data, and color uniformity improvement value data accordingly; The color gamut coverage improvement value data, the color accuracy improvement value data, and the color uniformity improvement value data are processed to obtain a color gamut optimization effect index.

[0046] It should be noted that by comparing the changes in the screen color gamut characteristics before and after optimization, including color gamut coverage, color accuracy and color uniformity, and by one-to-one comparison, the corresponding improvement values ​​are obtained, including the color gamut coverage improvement value, color accuracy improvement value and color uniformity improvement value data. Further, by processing through the calculation formula, the color gamut optimization effect index can be obtained; The calculation formula of the color gamut optimization effect index is: ; in, For the color gamut optimization effect index, , , They are the color gamut coverage improvement value data, color accuracy improvement value data, and color uniformity improvement value data. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database).

[0047] According to an embodiment of the present invention, the processing according to the color gamut optimization effect index and the display optimization effect index to obtain the screen performance optimization effect index, and taking adjustment measures accordingly, includes: Processing the color gamut optimization effect index and the display optimization effect index through a preset screen color gamut optimization evaluation model to obtain a screen performance optimization effect index; Comparing the screen performance optimization effect index with a preset screen performance optimization effect threshold to obtain a corresponding second threshold comparison result; Determining whether the color gamut optimization of the target screen meets the requirements according to the comparison result of the second threshold value; If the second threshold comparison result is less than the preset threshold, the color gamut optimization of the target screen cannot meet the requirements and corresponding adjustment measures need to be taken.

[0048] It should be noted that the optimization effect of the screen needs to be further judged. Therefore, the color gamut optimization effect index and the display optimization effect index are processed by the calculation formula of the preset screen color gamut optimization evaluation model to obtain the screen performance optimization effect index, and then compared with the preset screen performance optimization effect threshold to obtain the corresponding second threshold comparison result. According to the second threshold comparison result, it is judged whether the color gamut optimization of the target screen meets the requirements. If the second threshold comparison result is less than the preset threshold, the color gamut optimization of the target screen cannot meet the requirements, and corresponding adjustment measures need to be taken; The calculation formula of the screen performance optimization effect index is: ; in, Optimize the screen performance index. , They are color gamut optimization effect index and display optimization effect index respectively. It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database).

[0049] According to an embodiment of the present invention, it also includes: The performing comparison processing based on the display characteristic data after optimization and the display characteristic data before optimization to obtain the display optimization effect index specifically includes: According to the optimized brightness uniformity data, optimized contrast data and optimized spectral distribution uniformity data, combined with the brightness uniformity data before optimization, the contrast data before optimization and the spectral distribution uniformity data before optimization, comparative processing is performed to obtain brightness uniformity improvement value data, contrast improvement value data and spectral distribution uniformity improvement value data accordingly; Processing the brightness uniformity improvement value data, the contrast improvement value data, and the spectral distribution uniformity improvement value data to obtain a display optimization effect index; The calculation formula of the display optimization effect index is: ; in, To display the optimization effect index, , , They are brightness uniformity improvement value data, contrast improvement value data, and spectral distribution uniformity improvement value data. , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database).

[0050] It should be noted that by comparing the changes in screen display characteristics before and after optimization, including brightness uniformity, contrast, and spectral distribution uniformity after optimization, and through one-to-one comparison, the corresponding improvement values ​​are obtained, including the brightness uniformity improvement value, contrast improvement value, and spectral distribution uniformity improvement value data. Further, through processing through the calculation formula, the display optimization effect index can be obtained.

[0051] According to an embodiment of the present invention, it also includes: If the second threshold comparison result is greater than or equal to the preset threshold, the color gamut optimization of the target screen meets the requirements; Further obtaining the response time data, power consumption data and reflectivity data corresponding to the target screen before and after optimization; Comparing the response time data, power consumption data and reflectivity data before and after the optimization, corresponding response time improvement value data, power consumption improvement value data and reflectivity improvement value data are obtained; Processing is performed according to the response time improvement value data, the power consumption improvement value data, and the reflectivity improvement value data to obtain a function optimization effect index; Comparing the function optimization effect index with a preset function optimization effect threshold to obtain a corresponding third threshold comparison result; Determining whether the screen function optimization effect meets the standard according to the comparison result of the third threshold value; If the third threshold comparison result is greater than or equal to the preset threshold, the screen function optimization effect meets the standard; If the threshold comparison result is less than the preset threshold, the screen function optimization effect does not meet the standard; The calculation formula of the function optimization effect index is: ; in, To optimize the effect index of the function, , , They are response time improvement value data, power consumption improvement value data, and reflectivity improvement value data. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database).

[0052] It should be noted that if the color gamut optimization of the target screen meets the requirements, it is possible to further determine whether other indicators of the screen also meet the standards. Specifically, obtain the corresponding response time data, power consumption data, and reflectivity data of the target screen before and after optimization, and then compare them one by one to obtain the corresponding improvement values, including the response time improvement value, power consumption improvement value, and reflectivity improvement value data. Then, through the calculation formula, the functional optimization effect index is obtained, and compared with the preset threshold. The comparison results are used to determine whether the functional optimization effect of the screen also meets the standards.

[0053] A third aspect of the present invention provides a readable storage medium, which stores a program for a method for optimizing the color gamut contrast of a dual-prism backlight module. When the program for optimizing the color gamut contrast of a dual-prism backlight module is executed by a processor, the steps of the method for optimizing the color gamut contrast of a dual-prism backlight module as described in any one of the above items are implemented.

[0054] The present invention discloses a method, system and medium for optimizing the color gamut contrast of a backlight module of a dual prism. The method, system and medium obtain the color gamut feature data of a target screen before optimization and the display feature data before optimization, respectively process and obtain the corresponding color gamut accuracy index and display accuracy index, evaluate the screen performance according to the color gamut accuracy index and the display accuracy index, obtain the screen performance index, and judge the screen performance effect. If the screen performance effect does not meet the standard, optimize the target screen, perform a performance test on the optimized target screen, extract the optimized color gamut feature data and the optimized display feature data according to the test results, perform comparative processing according to the optimized color gamut feature data combined with the color gamut feature data before optimization, obtain the color gamut optimization effect index, perform comparative processing according to the optimized display feature data combined with the display feature data before optimization, obtain the display optimization effect index, perform processing according to the color gamut optimization effect index and the display optimization effect index, obtain the screen performance optimization effect index, and take corresponding adjustment measures, thereby realizing the technology of optimizing the color gamut contrast of a backlight module of a dual prism.

[0055] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0056] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0057] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0058] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0059] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for optimizing color gamut contrast of a dual-prism backlight module, characterized in that: The following steps are involved: Obtaining the color gamut characteristic data and the display characteristic data of the target screen before optimization, and processing them to obtain the corresponding color gamut accuracy index and display accuracy index respectively; Performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index, and determining a screen performance effect; If the screen performance effect does not meet the standard, optimize the target screen; Performing a performance test on the optimized target screen, and extracting optimized color gamut feature data and optimized display feature data according to the test results; Performing comparison processing based on the post-optimization color gamut feature data and the pre-optimization color gamut feature data to obtain a color gamut optimization effect index; Comparing the display characteristic data after optimization with the display characteristic data before optimization, to obtain a display optimization effect index; Processing is performed according to the color gamut optimization effect index and the display optimization effect index to obtain a screen performance optimization effect index, and corresponding adjustment measures are taken.

2. The method for optimizing color gamut contrast of a dual-prism backlight module according to claim 1, characterized in that: The obtaining of the color gamut characteristic data and the display characteristic data of the target screen before optimization, and processing to obtain the corresponding color gamut accuracy index and display accuracy index respectively, comprises: Collect parameter information of the target screen, and extract color gamut feature data before optimization and display feature data before optimization; The color gamut characteristic data before optimization includes color gamut coverage data before optimization, color accuracy data before optimization, and color uniformity data before optimization; The display characteristic data before optimization includes brightness uniformity data before optimization, contrast data before optimization, and spectral distribution uniformity data before optimization; Processing the color gamut coverage data before optimization, the color accuracy data before optimization, and the color uniformity data before optimization to obtain a color gamut accuracy index; The display accuracy index is obtained by processing the brightness uniformity data before optimization, the contrast data before optimization, and the spectral distribution uniformity data before optimization.

3. The method for optimizing color gamut contrast of a dual-prism backlight module according to claim 2, characterized in that: The performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index and determine the screen performance effect includes: Performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index; Comparing the screen performance index with a preset screen performance threshold to obtain a corresponding first threshold comparison result; Determining whether the screen performance effect meets the standard according to the first threshold comparison result; If the first threshold comparison result is greater than or equal to a preset threshold, the screen performance effect meets the standard; If the first threshold comparison result is less than a preset threshold, the screen performance effect does not meet the standard.

4. The method for optimizing color gamut contrast of a dual-prism backlight module according to claim 3, characterized in that: The step of performing a performance test on the optimized target screen and extracting optimized color gamut feature data and optimized display feature data according to the test results includes: Performing performance tests on the optimized target screen, including color gamut coverage test, color accuracy test, color uniformity test, brightness uniformity test, contrast test, and spectral distribution uniformity test, and recording the test results; Extracting optimized color gamut feature data and optimized display feature data according to the test results; The optimized color gamut characteristic data includes optimized color gamut coverage data, optimized color accuracy data, and optimized color uniformity data; The optimized display characteristic data includes optimized brightness uniformity data, optimized contrast data and optimized spectral distribution uniformity data.

5. The method for optimizing color gamut contrast of a dual-prism backlight module according to claim 4, characterized in that: The step of performing comparison processing based on the optimized color gamut feature data and the pre-optimized color gamut feature data to obtain a color gamut optimization effect index includes: According to the optimized color gamut coverage data, optimized color accuracy data, and optimized color uniformity data, a comparative process is performed in combination with the color gamut coverage data, the color accuracy data, and the color uniformity data before optimization, to obtain color gamut coverage improvement value data, color accuracy improvement value data, and color uniformity improvement value data accordingly; The color gamut coverage improvement value data, the color accuracy improvement value data, and the color uniformity improvement value data are processed to obtain a color gamut optimization effect index.

6. The method for optimizing color gamut contrast of a dual-prism backlight module according to claim 5, characterized in that: The processing according to the color gamut optimization effect index and the display optimization effect index to obtain the screen performance optimization effect index, and taking adjustment measures accordingly, includes: Processing the color gamut optimization effect index and the display optimization effect index through a preset screen color gamut optimization evaluation model to obtain a screen performance optimization effect index; Comparing the screen performance optimization effect index with a preset screen performance optimization effect threshold to obtain a corresponding second threshold comparison result; Determining whether the color gamut optimization of the target screen meets the requirements according to the comparison result of the second threshold value; If the second threshold comparison result is less than the preset threshold, the color gamut optimization of the target screen cannot meet the requirements and corresponding adjustment measures need to be taken.

7. A dual-prism backlight module color gamut contrast optimization system, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a method for optimizing the color gamut contrast of a backlight module of a dual prism, and when the program of the method for optimizing the color gamut contrast of a backlight module of a dual prism is executed by the processor, the following steps are implemented: Obtaining the color gamut characteristic data and the display characteristic data of the target screen before optimization, and processing them to obtain the corresponding color gamut accuracy index and display accuracy index respectively; Performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index, and determining a screen performance effect; If the screen performance effect does not meet the standard, optimize the target screen; Performing a performance test on the optimized target screen, and extracting optimized color gamut feature data and optimized display feature data according to the test results; Performing comparison processing based on the post-optimization color gamut feature data and the pre-optimization color gamut feature data to obtain a color gamut optimization effect index; Comparing the display characteristic data after optimization with the display characteristic data before optimization, to obtain a display optimization effect index; Processing is performed according to the color gamut optimization effect index and the display optimization effect index to obtain a screen performance optimization effect index, and corresponding adjustment measures are taken.

8. The dual-prism backlight module color gamut contrast optimization system according to claim 7, characterized in that: The obtaining of the color gamut characteristic data and the display characteristic data of the target screen before optimization, and processing to obtain the corresponding color gamut accuracy index and display accuracy index respectively, comprises: Collect parameter information of the target screen, and extract color gamut feature data before optimization and display feature data before optimization; The color gamut characteristic data before optimization includes color gamut coverage data before optimization, color accuracy data before optimization, and color uniformity data before optimization; The display characteristic data before optimization includes brightness uniformity data before optimization, contrast data before optimization, and spectral distribution uniformity data before optimization; Processing the color gamut coverage data before optimization, the color accuracy data before optimization, and the color uniformity data before optimization to obtain a color gamut accuracy index; The display accuracy index is obtained by processing the brightness uniformity data before optimization, the contrast data before optimization, and the spectral distribution uniformity data before optimization.

9. The dual-prism backlight module color gamut contrast optimization system according to claim 8, characterized in that: The performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index and determine the screen performance effect includes: Performing screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index; Comparing the screen performance index with a preset screen performance threshold to obtain a corresponding first threshold comparison result; Determining whether the screen performance effect meets the standard according to the first threshold comparison result; If the first threshold comparison result is greater than or equal to a preset threshold, the screen performance effect meets the standard; If the first threshold comparison result is less than a preset threshold, the screen performance effect does not meet the standard.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a dual-prism backlight module color gamut contrast optimization method program. When the dual-prism backlight module color gamut contrast optimization method program is executed by a processor, the steps of the dual-prism backlight module color gamut contrast optimization method as described in any one of claims 1 to 6 are implemented.

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