A method, system and medium for optimizing the color gamut contrast of a backlight module with a double prism

Abstract

The present application provides a method, system and medium for optimizing the color gamut contrast of a backlight module with a double prism. The method includes: obtaining the color gamut feature data and display feature data before optimization of the target screen, respectively processing to obtain the corresponding color gamut accuracy index and display accuracy index, further performing screen performance evaluation to obtain the screen performance index, and judging 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 color gamut feature data and display feature data after optimization, combine the color gamut feature data and display feature data before optimization for comparison processing to obtain the color gamut optimization effect index and display optimization effect index, further process to obtain the screen performance optimization effect index, and take corresponding adjustment measures, so as to realize the technology of optimizing the color gamut contrast of the backlight module with a double prism.

Description

Technical Field

[0001] This application relates to the technical field of the color gamut of backlight modules. Specifically, it relates to a method, system, and medium for optimizing the color gamut comparison of a backlight module with a double prism. Background Art

[0002] With the continuous development of display technology, MiniLED backlight modules have gradually become the market mainstream due to their advantages such as high brightness and high contrast. However, there is still room for improvement in the color gamut performance of current MiniLED backlight modules, especially in terms of the accuracy and contrast of colors and displays, which are difficult to meet the needs of users for high-quality visual experiences. The traditional methods for optimizing the color gamut comparison of backlight modules with double prisms are relatively single, unable to comprehensively analyze the color gamut performance, and unable to accurately and efficiently optimize the color gamut of MiniLED backlight modules.

[0003] In view of the above problems, there is an urgent need for effective technical solutions at present. Summary of the Invention

[0004] The purpose of this application is to provide a method, system, and medium for optimizing the color gamut comparison of a backlight module with a double prism. It can obtain the color gamut feature data and display feature data before optimization of the target screen, respectively process them to obtain the corresponding color gamut accuracy index and display accuracy index, further evaluate the screen performance to 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, conduct performance tests on the optimized target screen, extract the color gamut feature data and display feature data after optimization, combine the color gamut feature data and display feature data before optimization for comparison processing, obtain the color gamut optimization effect index and display optimization effect index, further process them to obtain the screen performance optimization effect index, and take corresponding adjustment measures accordingly to achieve the technology of optimizing the color gamut comparison of a backlight module with a double prism.

[0005] This application also provides a method for optimizing the color gamut comparison of a backlight module with a double prism, including the following steps:

[0006] Obtain the color gamut feature data and display feature data before optimization of the target screen, and respectively process them to obtain the corresponding color gamut accuracy index and display accuracy index;

[0007] Evaluate the screen performance according to the color gamut accuracy index and display accuracy index to obtain the screen performance index, and judge the screen performance effect;

[0008] If the screen performance effect does not meet the standard, optimize the target screen;

[0009] Perform a performance test on the optimized target screen, and extract the optimized gamut feature data and the optimized display feature data according to the test results;

[0010] Perform a comparison process based on the optimized gamut feature data in combination with the pre-optimization gamut feature data to obtain a gamut optimization effect index;

[0011] Perform a comparison process based on the optimized display feature data in combination with the pre-optimization display feature data to obtain a display optimization effect index;

[0012] Perform processing based on the gamut optimization effect index and the display optimization effect index to obtain a screen performance optimization effect index, and take corresponding adjustment measures accordingly.

[0013] Optionally, in the method for optimizing the gamut contrast of the backlight module of the double prism described in this application, the obtaining of the pre-optimization gamut feature data and the pre-optimization display feature data of the target screen, and respectively processing to obtain the corresponding gamut accuracy index and display accuracy index includes:

[0014] Collect the parameter information of the target screen, and extract the pre-optimization gamut feature data and the pre-optimization display feature data;

[0015] The pre-optimization gamut feature data includes pre-optimization gamut coverage data, pre-optimization color accuracy data, and pre-optimization color uniformity data;

[0016] The pre-optimization display feature data includes pre-optimization brightness uniformity data, pre-optimization contrast data, and pre-optimization spectral distribution uniformity data;

[0017] Perform processing based on the pre-optimization gamut coverage data, pre-optimization color accuracy data, and pre-optimization color uniformity data to obtain a gamut accuracy index;

[0018] Perform processing based on the pre-optimization brightness uniformity data, pre-optimization contrast data, and pre-optimization spectral distribution uniformity data to obtain a display accuracy index.

[0019] Optionally, in the method for optimizing the gamut contrast of the backlight module of the double prism described in this application, the performing of screen performance evaluation based on the gamut accuracy index and the display accuracy index to obtain a screen performance index, and judging the screen performance effect includes:

[0020] Perform screen performance evaluation based on the gamut accuracy index and the display accuracy index to obtain a screen performance index;

[0021] Compare the screen performance index with a preset screen performance threshold to obtain a corresponding first threshold comparison result;

[0022] Judge whether the screen performance effect meets the standard according to the first threshold comparison result;

[0023] If the first threshold comparison result is greater than or equal to the preset threshold, the screen performance effect meets the standard;

[0024] If the first threshold comparison result is less than the preset threshold, the screen performance effect does not meet the standard.

[0025] Optionally, in the method for optimizing the color gamut contrast of the backlight module of the double prism described in this application, the performance test of the optimized target screen, and the extraction of the optimized color gamut feature data and the optimized display feature data according to the test results include:

[0026] Perform a performance test 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 record the test results;

[0027] Extract the optimized color gamut feature data and the optimized display feature data according to the test results;

[0028] The optimized color gamut feature data includes optimized color gamut coverage data, optimized color accuracy data, and optimized color uniformity data;

[0029] The optimized display feature data includes optimized brightness uniformity data, optimized contrast data, and optimized spectral distribution uniformity data.

[0030] Optionally, in the method for optimizing the color gamut contrast of the backlight module of the double prism described in this application, the comparison process of combining the optimized color gamut feature data with the pre-optimization color gamut feature data to obtain the color gamut optimization effect index includes:

[0031] According to the optimized color gamut coverage data, optimized color accuracy data, and optimized color uniformity data, combine the pre-optimization color gamut coverage data, pre-optimization color accuracy data, and pre-optimization color uniformity data for comparison processing, and correspondingly obtain the color gamut coverage improvement value data, color accuracy improvement value data, and color uniformity improvement value data;

[0032] Process the color gamut coverage improvement value data, color accuracy improvement value data, and color uniformity improvement value data to obtain the color gamut optimization effect index.

[0033] Optionally, in the method for optimizing the color gamut contrast of the backlight module of the double prism described in this application, the processing of the color gamut optimization effect index and the display optimization effect index to obtain the screen performance optimization effect index and correspondingly take adjustment measures includes:

[0034] Process 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;

[0035] Compare the screen performance optimization effect index with a preset screen performance optimization effect threshold to obtain a corresponding second threshold comparison result;

[0036] Judge whether the color gamut optimization of the target screen meets the requirements according to the second threshold comparison result;

[0037] If the second threshold comparison result is less than the preset threshold, the color gamut optimization of the target screen does not meet the requirements, and corresponding adjustment measures need to be taken.

[0038] In a second aspect, the present application provides a color gamut comparison and optimization system for a backlight module of a double prism. The system includes: a memory and a processor. The memory includes a program for the color gamut comparison and optimization method of the backlight module of the double prism. When the program for the color gamut comparison and optimization method of the backlight module of the double prism is executed by the processor, the following steps are implemented:

[0039] Obtain the pre-optimization color gamut feature data and pre-optimization display feature data of the target screen, and respectively process them to obtain corresponding color gamut accuracy indexes and display accuracy indexes;

[0040] Perform screen performance evaluation according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index, and judge the screen performance effect;

[0041] If the screen performance effect does not meet the standard, optimize the target screen;

[0042] Perform a performance test on the optimized target screen, and extract the optimized color gamut feature data and optimized display feature data according to the test results;

[0043] Perform a comparison process on the optimized color gamut feature data in combination with the pre-optimization color gamut feature data to obtain a color gamut optimization effect index;

[0044] Perform a comparison process on the optimized display feature data in combination with the pre-optimization display feature data to obtain a display optimization effect index;

[0045] Process the color gamut optimization effect index and the display optimization effect index to obtain a screen performance optimization effect index, and take corresponding adjustment measures.

[0046] Optionally, in the backlight module color gamut contrast optimization system of the double prism described in this application, obtaining the color gamut feature data and display feature data before optimization of the target screen, and respectively processing to obtain the corresponding color gamut accuracy index and display accuracy index, includes:

[0047] Collect the parameter information of the target screen, and extract the color gamut feature data and display feature data before optimization;

[0048] The color gamut feature data before optimization includes color gamut coverage data before optimization, color accuracy data before optimization, and color uniformity data before optimization;

[0049] The display feature data before optimization includes brightness uniformity data before optimization, contrast data before optimization, and spectral distribution uniformity data before optimization;

[0050] Process according to the color gamut coverage data before optimization, color accuracy data before optimization, and color uniformity data before optimization to obtain the color gamut accuracy index;

[0051] Process according to the brightness uniformity data before optimization, contrast data before optimization, and spectral distribution uniformity data before optimization to obtain the display accuracy index.

[0052] Optionally, in the backlight module color gamut contrast optimization system of the double prism described in this application, evaluating the screen performance according to the color gamut accuracy index and display accuracy index, obtaining the screen performance index, and judging the screen performance effect, includes:

[0053] Evaluate the screen performance according to the color gamut accuracy index and display accuracy index to obtain the screen performance index;

[0054] Compare the screen performance index with a preset screen performance threshold to obtain the corresponding first threshold comparison result;

[0055] Judge whether the screen performance effect meets the standard according to the first threshold comparison result;

[0056] If the first threshold comparison result is greater than or equal to the preset threshold, the screen performance effect meets the standard;

[0057] If the first threshold comparison result is less than the preset threshold, the screen performance effect does not meet the standard.

[0058] In a third aspect, this application also provides a computer-readable storage medium, in which a program for the backlight module color gamut contrast optimization method of the double prism is stored. When the program for the backlight module color gamut contrast optimization method of the double prism is executed by a processor, the steps of the backlight module color gamut contrast optimization method described in any one of the above are implemented.

[0059] As can be seen from the above, the method, system, and medium for optimizing the color gamut contrast of the backlight module of the double prism disclosed in the present invention obtain the color gamut feature data and the display feature data before optimization of the target screen, respectively process them to obtain the corresponding color gamut accuracy index and display accuracy index, evaluate the screen performance based on the color gamut accuracy index and the display accuracy index to 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 color gamut feature data and the display feature data after optimization according to the test results, perform a comparison process on the color gamut feature data after optimization combined with the color gamut feature data before optimization to obtain the color gamut optimization effect index, perform a comparison process on the display feature data after optimization combined with the display feature data before optimization to obtain the display optimization effect index, process according to the color gamut optimization effect index and the display optimization effect index to obtain the screen performance optimization effect index, and take corresponding adjustment measures accordingly, thereby realizing the technology of optimizing the color gamut contrast of the backlight module of the double prism.

[0060] Other features and advantages of the present application will be described in the subsequent specification, and, in part, will be obvious from the specification, or can be understood by implementing the embodiments of the present application. The objectives and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written specification and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings required for use in the embodiments of the present application. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0062] Figure 1 It is a flowchart of the method for optimizing the color gamut contrast of the backlight module of the double prism provided by the embodiment of the present application;

[0063] Figure 2 It is a flowchart of judging the screen performance effect of the method for optimizing the color gamut contrast of the backlight module of the double prism provided by the embodiment of the present application;

[0064] Figure 3 It is a flowchart of extracting the color gamut feature data and the display feature data after optimization of the method for optimizing the color gamut contrast of the backlight module of the double prism provided by the embodiment of the present application;

[0065] Figure 4 It is a flowchart of obtaining the color gamut optimization effect index of the method for optimizing the color gamut contrast of the backlight module of the double prism provided by the embodiment of the present application. Detailed implementation manners

[0066] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying 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 the embodiments. The components of the embodiments of the present application usually described and illustrated in the accompanying 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 accompanying drawings is not intended to limit the scope of the claimed present application, but merely represents the selected embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative efforts fall within the scope of protection of the present application.

[0067] It should be noted that similar reference numerals and letters indicate similar items in the following drawings. Therefore, 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 the present application, terms such as "first" and "second" are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0068] Please refer to Figure 1 , Figure 1 which is a flowchart of a method for optimizing the color gamut contrast of a backlight module of a double prism in some embodiments of the present application. The method for optimizing the color gamut contrast of the backlight module of the double prism is used in terminal devices such as computers and mobile phone terminals. The method for optimizing the color gamut contrast of the backlight module of the double prism includes the following steps:

[0069] S11. Obtain the color gamut feature data and the display feature data before optimization of the target screen, and respectively process them to obtain the corresponding color gamut accuracy index and the display accuracy index;

[0070] S12. Evaluate the screen performance according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index, and judge the screen performance effect;

[0071] S13. If the screen performance effect does not meet the standard, optimize the target screen;

[0072] S14. Perform a performance test on the optimized target screen, and extract the optimized color gamut feature data and the optimized display feature data according to the test results;

[0073] S15. Perform a comparison process according to the optimized color gamut feature data in combination with the color gamut feature data before optimization to obtain a color gamut optimization effect index;

[0074] S16. Compare and process the optimized display feature data with the pre-optimized display feature data to obtain a display optimization effect index;

[0075] S17. Process according to the color gamut optimization effect index and the display optimization effect index to obtain a screen performance optimization effect index, and take corresponding adjustment measures accordingly.

[0076] It should be noted that with the continuous development of display technology, MiniLED backlight modules have gradually become the market mainstream due to their advantages such as high brightness and high contrast. However, there is still room for improvement in the color gamut performance of current MiniLED backlight modules, especially in terms of color and display accuracy and contrast, which are difficult to meet users' needs for high-quality visual experiences. The traditional color gamut comparison and optimization method for double prism backlight modules is relatively single, unable to comprehensively analyze color gamut performance, and unable to accurately and efficiently optimize the color gamut of MiniLED backlight modules. Therefore, a more intelligent and efficient color gamut comparison and optimization method for backlight modules is needed. In this embodiment, first, obtain the pre-optimized color gamut feature data and pre-optimized display feature data of the target screen, and respectively process them to 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 to obtain a screen performance index, and judge the screen performance effect. If the screen performance effect does not meet the standard, optimize the target screen, conduct a performance test on the optimized target screen, extract the optimized color gamut feature data and optimized display feature data according to the test results, compare and process the optimized color gamut feature data with the pre-optimized color gamut feature data to obtain a color gamut optimization effect index, compare and process the optimized display feature data with the pre-optimized display feature data to obtain a display optimization effect index, process according to the color gamut optimization effect index and the display optimization effect index to obtain a screen performance optimization effect index, and take corresponding adjustment measures accordingly, thereby realizing the technology of color gamut comparison and optimization of double prism backlight modules.

[0077] According to the embodiment of the present invention, the obtaining of the pre-optimized color gamut feature data and pre-optimized display feature data of the target screen, and respectively processing them to obtain the corresponding color gamut accuracy index and display accuracy index includes:

[0078] Collect the parameter information of the target screen, and extract the pre-optimized color gamut feature data and pre-optimized display feature data;

[0079] The pre-optimized color gamut feature data includes pre-optimized color gamut coverage data, pre-optimized color accuracy data, and pre-optimized color uniformity data;

[0080] The pre-optimized display feature data includes pre-optimized brightness uniformity data, pre-optimized contrast data, and pre-optimized spectral distribution uniformity data;

[0081] Process the pre-optimization gamut coverage data, pre-optimization color accuracy data, and pre-optimization color uniformity data to obtain a gamut accuracy index.

[0082] Process the pre-optimization brightness uniformity data, pre-optimization contrast data, and pre-optimization spectral distribution uniformity data to obtain a display accuracy index.

[0083] It should be noted that before optimizing the target screen, in order to better understand the gamut performance status of the MiniLED backlight module of the screen, it is necessary to collect the parameter information of the target screen and extract the pre-optimization gamut feature data and pre-optimization display feature data. Among them, the pre-optimization gamut feature data includes pre-optimization gamut coverage data, pre-optimization color accuracy data, and pre-optimization color uniformity data. Among them, common gamut standards include sRGB, Adobe RGB, DCI-P3, etc. For example, if the DCI-P3 gamut coverage of a monitor reaches 95%, it means that it can display 95% of the colors in the DCI-P3 standard gamut. The higher the coverage rate, 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 colors displayed by the monitor and the standard colors. The smaller the ΔE value, the higher the color accuracy and the better the color accuracy. Generally, the color accuracy ΔE value of professional monitors is less than 2. For the MiniLED backlight module with a double prism, the smaller the ΔE, the more accurate the colors within the gamut can be presented. Color uniformity refers to whether the color performance in different areas of the screen is consistent. It can calculate its uniformity index by measuring the color parameters at various positions on the screen, such as brightness, chromaticity, etc. The pre-optimization display feature data includes pre-optimization brightness uniformity data, pre-optimization contrast data, and pre-optimization spectral distribution uniformity data. Among them, spectral distribution uniformity means that in an ideal situation, the spectrum of the MiniLED backlight module should have good uniformity within the entire visible spectrum range, so as to ensure the balanced display effect of various colors. Among them, process the pre-optimization gamut feature data to obtain a gamut accuracy index, and process the pre-optimization display feature data to obtain a display accuracy index;

[0084] Among them, the calculation formula of the gamut accuracy index is:

[0085] ;

[0086] Among them, is the gamut accuracy index, , , are the pre-optimization gamut coverage data, pre-optimization color accuracy data, and pre-optimization color uniformity data respectively, , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset backlight module color gamut contrast optimization database); among them, each parameter and the characteristic coefficient in the calculation formula of the present technology can be obtained by querying the data source or data mapping table of the third-party preset backlight module color gamut contrast optimization database. The third-party preset backlight module color gamut contrast 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 calling and translation based on system software and tools;

[0087] Among them, the calculation formula of the display accuracy index is:

[0088] ;

[0089] Among them, is the display accuracy index, , , are respectively the brightness uniformity data before optimization, the contrast data before optimization, and the spectral distribution uniformity before optimization, , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying a preset backlight module color gamut contrast optimization database).

[0090] Please refer to Figure 2 , Figure 2 is a flowchart for judging the screen performance effect of the backlight module color gamut contrast optimization method of the double prism in some embodiments of this application. According to the embodiments of the present invention, the screen performance is evaluated according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index, and the screen performance effect is judged, including:

[0091] S21. Evaluate the screen performance according to the color gamut accuracy index and the display accuracy index to obtain a screen performance index;

[0092] S22. Compare the screen performance index with a preset screen performance threshold to obtain a corresponding first threshold comparison result;

[0093] S23. Judge whether the screen performance effect meets the standard according to the first threshold comparison result;

[0094] S24. If the first threshold comparison result is greater than or equal to the preset threshold, the screen performance effect meets the standard;

[0095] S25. If the first threshold comparison result is less than the preset threshold, the screen performance effect does not meet the standard.

[0096] It should be noted that, in order to more accurately judge the performance state of the target screen before optimization, the screen performance is evaluated through a calculation formula based on the obtained color gamut accuracy index and display accuracy index to obtain the screen performance index, and then compared with the preset screen performance threshold to obtain the corresponding first threshold comparison result, and determine 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.

[0097] Among them, the calculation formula of the screen performance index is:

[0098] ;

[0099] Among them, is the screen performance index, 、 are the color gamut accuracy index and display accuracy index respectively, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison and optimization database).

[0100] Please refer to Figure 3 , Figure 3 is the flowchart of extracting the optimized color gamut characteristic data and optimized display characteristic data of the backlight module color gamut comparison and optimization method of the double prism in some embodiments of the present application. According to the embodiments of the present invention, the performance test of the optimized target screen is performed, and the optimized color gamut characteristic data and optimized display characteristic data are extracted according to the test results, including:

[0101] S31. Perform a performance test 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 record the test results;

[0102] S32. Extract the optimized color gamut characteristic data and optimized display characteristic data according to the test results;

[0103] S33. The optimized color gamut characteristic data includes optimized color gamut coverage data, optimized color accuracy data, and optimized color uniformity data;

[0104] S34. The optimized display characteristic data includes optimized brightness uniformity data, optimized contrast data, and optimized spectral distribution uniformity data.

[0105] It should be noted that for the target screen with unqualified performance, the color gamut contrast optimization of the backlight module based on the double prism is carried out, and the performance test of the optimized screen is carried out, including color gamut coverage test, color accuracy test, color uniformity test, brightness uniformity test, contrast test and spectral distribution uniformity test, and the test results are recorded. The performance data is extracted from the result record data, including the optimized color gamut coverage data, the optimized color accuracy data, the optimized color uniformity data, the optimized brightness uniformity data, the optimized contrast data and the optimized spectral distribution uniformity data.

[0106] Please refer to Figure 4 , Figure 4 is a flowchart for obtaining the color gamut optimization effect index of the color gamut contrast optimization method of the backlight module of the double prism in some embodiments of the present application. According to the embodiments of the present invention, the contrast processing is performed by combining the optimized color gamut characteristic data with the pre-optimization color gamut characteristic data to obtain the color gamut optimization effect index, including:

[0107] S41. According to the optimized color gamut coverage data, the optimized color accuracy data and the optimized color uniformity data, and combining the pre-optimization color gamut coverage data, the pre-optimization color accuracy data and the pre-optimization color uniformity data for contrast processing, the color gamut coverage improvement value data, the color accuracy improvement value data and the color uniformity improvement value data are respectively obtained;

[0108] S42. Process the color gamut coverage improvement value data, the color accuracy improvement value data and the color uniformity improvement value data to obtain the color gamut optimization effect index.

[0109] It should be noted that the changes in the color gamut characteristics of the screen before and after the contrast optimization, including the color gamut coverage, the color accuracy and the color uniformity, are compared one by one to obtain the corresponding improvement values, including the color gamut coverage improvement value, the color accuracy improvement value and the color uniformity improvement value data. Further, through the calculation formula for processing, the color gamut optimization effect index can be obtained;

[0110] Among them, the calculation formula of the color gamut optimization effect index is:

[0111] ;

[0112] Among them, is the color gamut optimization effect index, , , are respectively the color gamut coverage improvement value data, the color accuracy improvement value data and the color uniformity improvement value data, , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset backlight module color gamut comparison and optimization database).

[0113] According to an embodiment of the present invention, 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, including:

[0114] Processing is performed according to 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;

[0115] Comparing the screen performance optimization effect index with a preset screen performance optimization effect threshold to obtain a corresponding second threshold comparison result;

[0116] Judging whether the color gamut optimization of the target screen meets the requirements according to the second threshold comparison result;

[0117] If the second threshold comparison result is less than a preset threshold, the color gamut optimization of the target screen does not meet the requirements, and corresponding adjustment measures need to be taken.

[0118] It should be noted that for the optimization effect of the screen, further judgment is required. Therefore, processing is performed according to the color gamut optimization effect index and the display optimization effect index through the calculation formula of a preset screen color gamut optimization evaluation model to obtain a screen performance optimization effect index, and then comparing it with a preset screen performance optimization effect threshold to obtain a corresponding second threshold comparison result. Judging whether the color gamut optimization of the target screen meets the requirements according to the second threshold comparison result. If the second threshold comparison result is less than a preset threshold, the color gamut optimization of the target screen does not meet the requirements, and corresponding adjustment measures need to be taken;

[0119] Among them, the calculation formula of the screen performance optimization effect index is:

[0120] ;

[0121] Among them, is the screen performance optimization effect index, 、 are the color gamut optimization effect index and the display optimization effect index respectively, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset backlight module color gamut comparison and optimization database).

[0122] According to an embodiment of the present invention, it further includes:

[0123] Comparing and processing the optimized display characteristic data with the pre-optimization display characteristic data to obtain a display optimization effect index, specifically including:

[0124] Based on the optimized brightness uniformity data, optimized contrast data, and optimized spectral distribution uniformity data, and combining with the brightness uniformity data, contrast data, and spectral distribution uniformity data before optimization, a comparison process is carried out to correspondingly obtain the brightness uniformity improvement value data, contrast improvement value data, and spectral distribution uniformity improvement value data;

[0125] Based on the brightness uniformity improvement value data, contrast improvement value data, and spectral distribution uniformity improvement value data, a display optimization effect index is obtained;

[0126] Among them, the calculation formula of the display optimization effect index is:

[0127] ;

[0128] Among them, is the display optimization effect index, , , are respectively the brightness uniformity improvement value data, contrast improvement value data, and spectral distribution uniformity improvement value data, , are preset characteristic coefficients (the characteristic coefficients are obtained by querying a preset backlight module color gamut comparison and optimization database).

[0129] It should be noted that by comparing the changes in the screen display characteristics before and after optimization, including brightness uniformity, contrast, and the optimized spectral distribution uniformity, 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 calculation using the formula, the display optimization effect index can be obtained.

[0130] According to the embodiments of the present invention, it further includes:

[0131] 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;

[0132] Further obtain the corresponding response time data, power consumption data, and reflectivity data of the target screen before and after optimization;

[0133] Based on the corresponding response time data, power consumption data, and reflectivity data before and after optimization, a comparison process is carried out to correspondingly obtain the response time improvement value data, power consumption improvement value data, and reflectivity improvement value data;

[0134] Based on the response time improvement value data, power consumption improvement value data, and reflectivity improvement value data, a function optimization effect index is obtained;

[0135] Compare the functional optimization effect index with a preset functional optimization effect threshold to obtain a corresponding third threshold comparison result;

[0136] Judge whether the screen functional optimization effect meets the standard according to the third threshold comparison result;

[0137] If the third threshold comparison result is greater than or equal to the preset threshold, the screen functional optimization effect meets the standard;

[0138] If the threshold comparison result is less than the preset threshold, the screen functional optimization effect does not meet the standard;

[0139] Among them, the calculation formula of the functional optimization effect index is:

[0140] ;

[0141] Among them, is the functional optimization effect index, , , are the response time improvement value data, power consumption improvement value data, and reflectivity improvement value data respectively, , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying a preset backlight module color gamut comparison and optimization database).

[0142] 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 before and after the optimization of the target screen, and then perform one-by-one comparison processing 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 processing, obtain the functional optimization effect index, and compare it with the preset threshold. Through the comparison result, determine whether the functional optimization effect of the screen also meets the standards.

[0143] In a second aspect, the present invention also discloses a backlight module color gamut comparison and optimization system for a double prism, including a memory and a processor. The memory includes a program for the backlight module color gamut comparison and optimization method for a double prism. When the program for the backlight module color gamut comparison and optimization method for a double prism is executed by the processor, the following steps are implemented:

[0144] Obtain the pre-optimization color gamut characteristic data and pre-optimization display characteristic data of the target screen, and respectively process them to obtain corresponding color gamut accuracy indexes and display accuracy indexes;

[0145] 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;

[0146] If the screen performance effect does not meet the standard, optimize the target screen;

[0147] Conduct a performance test on the optimized target screen, and extract the optimized color gamut feature data and the optimized display feature data according to the test results;

[0148] Perform a comparison process based on the optimized color gamut feature data and the pre-optimization color gamut feature data to obtain the color gamut optimization effect index;

[0149] Perform a comparison process based on the optimized display feature data and the pre-optimization display feature data to obtain the display optimization effect index;

[0150] Process according to the color gamut optimization effect index and the display optimization effect index to obtain the screen performance optimization effect index, and take corresponding adjustment measures accordingly.

[0151] It should be noted that with the continuous development of display technology, MiniLED backlight modules have gradually become the market mainstream due to their advantages such as high brightness and high contrast. However, there is still room for improvement in the color gamut performance of current MiniLED backlight modules, especially in terms of the accuracy and contrast of color and display, which are difficult to meet the needs of users for high-quality visual experiences. The traditional color gamut comparison and optimization method for double prism backlight modules is relatively single, unable to comprehensively analyze color gamut performance, and unable to accurately and efficiently optimize the color gamut of MiniLED backlight modules. Therefore, a more intelligent and efficient color gamut comparison and optimization method for backlight modules is needed. In this embodiment, first, obtain the pre-optimization color gamut feature data and the pre-optimization display feature data of the target screen, respectively process them to 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, conduct 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 a comparison process based on the optimized color gamut feature data and the pre-optimization color gamut feature data to obtain the color gamut optimization effect index, perform a comparison process based on the optimized display feature data and the pre-optimization display feature data to obtain the display optimization effect index, process according to the color gamut optimization effect index and the display optimization effect index to obtain the screen performance optimization effect index, and take corresponding adjustment measures accordingly, so as to realize the technology of color gamut comparison and optimization of double prism backlight modules.

[0152] According to an embodiment of the present invention, obtaining the pre-optimization gamut characteristic data and pre-optimization display characteristic data of the target screen, and respectively processing them to obtain the corresponding gamut accuracy index and display accuracy index, includes:

[0153] Collect the parameter information of the target screen, and extract the pre-optimization gamut characteristic data and pre-optimization display characteristic data;

[0154] The pre-optimization gamut characteristic data includes pre-optimization gamut coverage data, pre-optimization color accuracy data, and pre-optimization color uniformity data;

[0155] The pre-optimization display characteristic data includes pre-optimization brightness uniformity data, pre-optimization contrast data, and pre-optimization spectral distribution uniformity data;

[0156] Process according to the pre-optimization gamut coverage data, pre-optimization color accuracy data, and pre-optimization color uniformity data to obtain the gamut accuracy index;

[0157] Process according to the pre-optimization brightness uniformity data, pre-optimization contrast data, and pre-optimization spectral distribution uniformity data to obtain the display accuracy index.

[0158] It should be noted that before optimizing the target screen, in order to better understand the gamut performance status of the MiniLED backlight module of the screen, it is necessary to collect the parameter information of the target screen, and extract the gamut feature data before optimization and the display feature data before optimization. Among them, the gamut feature data before optimization includes the gamut coverage data before optimization, the color accuracy data before optimization, and the color uniformity data before optimization. Among them, common gamut standards include sRGB, Adobe RGB, DCI-P3, etc. For example, if the DCI-P3 gamut coverage of a monitor reaches 95%, it means that it can display 95% of the colors in the DCI-P3 standard gamut. The higher the coverage, the wider the range of colors that the backlight module can present, and the richer the colors. The color accuracy (ΔE) refers to the degree of difference between the colors displayed by the monitor and the standard colors. The smaller the ΔE value, the higher the color accuracy and the better the color accuracy. Generally, the color accuracy ΔE value of professional monitors is less than 2. For the MiniLED backlight module of the double prism, the smaller the ΔE, the more accurate the colors within the gamut can be presented. Color uniformity refers to whether the color performance in different areas of the screen is consistent. The uniformity index can be calculated by measuring the color parameters such as brightness and chromaticity at each position of the screen. 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 in an ideal situation, the spectrum of the MiniLED backlight module should have good uniformity within the entire visible spectrum range, so as to ensure the balanced display effect of various colors. Among them, according to the gamut feature data before optimization, the gamut accuracy index is obtained, and according to the display feature data before optimization, the display accuracy index is obtained;

[0159] Among them, the calculation formula of the gamut accuracy index is:

[0160] ;

[0161] Among them, is the gamut accuracy index, 、 、 are the gamut coverage data before optimization, the color accuracy data before optimization, and the color uniformity data before optimization respectively, 、 、 is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut contrast optimization database); among them, each parameter and the characteristic coefficient in the calculation formula of the present technology can be obtained by querying the data source or data mapping table of the third-party preset backlight module color gamut contrast optimization database. The third-party preset backlight module color gamut contrast optimization database is the information data source for information data acquisition, interaction, and processing in the implementation process 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;

[0162] Among them, the calculation formula of the display accuracy index is:

[0163] ;

[0164] Among them, is the display accuracy index, 、 、 are the brightness uniformity data before optimization, the contrast data before optimization, and the spectral distribution uniformity before optimization respectively, 、 、 are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset backlight module color gamut contrast optimization database).

[0165] According to an embodiment of the present invention, evaluating the screen performance based on the color gamut accuracy index and the display accuracy index to obtain a screen performance index and judging the screen performance effect includes:

[0166] Evaluating the screen performance based on the color gamut accuracy index and the display accuracy index to obtain a screen performance index;

[0167] Comparing the screen performance index with a preset screen performance threshold to obtain a corresponding first threshold comparison result;

[0168] Judging whether the screen performance effect meets the standard according to the first threshold comparison result;

[0169] If the first threshold comparison result is greater than or equal to the preset threshold, the screen performance effect meets the standard;

[0170] If the first threshold comparison result is less than the preset threshold, the screen performance effect does not meet the standard.

[0171] It should be noted that, in order to more accurately judge the performance state of the target screen before optimization, the screen performance is evaluated through a calculation formula based on the obtained color gamut accuracy index and display accuracy index to obtain the screen performance index, and then compared with the preset screen performance threshold to obtain the corresponding first threshold comparison result, and determine 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.

[0172] Among them, the calculation formula of the screen performance index is:

[0173] ;

[0174] Among them, is the screen performance index, , are the color gamut accuracy index and display accuracy index respectively, is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset backlight module color gamut comparison optimization database).

[0175] According to the embodiment of the present invention, the performance of the optimized target screen is tested, and the optimized color gamut characteristic data and optimized display characteristic data are extracted according to the test results, including:

[0176] The performance of the optimized target screen is tested, including color gamut coverage test, color accuracy test, color uniformity test, brightness uniformity test, contrast test and spectral distribution uniformity test, and the test results are recorded;

[0177] The optimized color gamut characteristic data and optimized display characteristic data are extracted according to the test results;

[0178] The optimized color gamut characteristic data includes optimized color gamut coverage data, optimized color accuracy data and optimized color uniformity data;

[0179] The optimized display characteristic data includes optimized brightness uniformity data, optimized contrast data and optimized spectral distribution uniformity data.

[0180] It should be noted that for the target screen with unqualified performance, the color gamut of the backlight module based on the double prism is compared and optimized, and the performance of the optimized screen is tested, including color gamut coverage test, color accuracy test, color uniformity test, brightness uniformity test, contrast test, and spectral distribution uniformity test, and the test results are recorded. Performance data is extracted from the result record 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.

[0181] According to the embodiments of the present invention, the optimized color gamut characteristic data is combined with the pre-optimization color gamut characteristic data for comparison processing to obtain a color gamut optimization effect index, including:

[0182] According to the optimized color gamut coverage data, optimized color accuracy data, and optimized color uniformity data, combined with the pre-optimization color gamut coverage data, pre-optimization color accuracy data, and pre-optimization color uniformity data for comparison processing, the color gamut coverage improvement value data, color accuracy improvement value data, and color uniformity improvement value data are obtained correspondingly;

[0183] According to the color gamut coverage improvement value data, color accuracy improvement value data, and color uniformity improvement value data for processing, a color gamut optimization effect index is obtained.

[0184] It should be noted that the changes in the color gamut characteristics of the screen before and after the comparison optimization, including color gamut coverage, color accuracy, and color uniformity, are compared one by one to obtain the corresponding improvement values, including color gamut coverage improvement value, color accuracy improvement value, and color uniformity improvement value data. Further, through calculation formula processing, the color gamut optimization effect index can be obtained;

[0185] Among them, the calculation formula of the color gamut optimization effect index is:

[0186] ;

[0187] Among them, is the color gamut optimization effect index, , , are the color gamut coverage improvement value data, color accuracy improvement value data, and color uniformity improvement value data respectively, , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset backlight module color gamut comparison and optimization database).

[0188] According to an embodiment of the present invention, processing is performed based on 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, including:

[0189] Processing is performed based on 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;

[0190] Comparing the screen performance optimization effect index with a preset screen performance optimization effect threshold to obtain a corresponding second threshold comparison result;

[0191] Judging whether the color gamut optimization of the target screen meets the requirements according to the second threshold comparison result;

[0192] If the second threshold comparison result is less than the preset threshold, the color gamut optimization of the target screen does not meet the requirements, and corresponding adjustment measures need to be taken.

[0193] It should be noted that for the quality of the screen optimization effect, further judgment is required. Therefore, based on the color gamut optimization effect index and the display optimization effect index, processing is performed through the calculation formula of the preset screen color gamut optimization evaluation model to obtain a screen performance optimization effect index, and then comparing it with the preset screen performance optimization effect threshold to obtain a corresponding second threshold comparison result. Judging whether the color gamut optimization of the target screen meets the requirements according to the second threshold comparison result. If the second threshold comparison result is less than the preset threshold, the color gamut optimization of the target screen does not meet the requirements, and corresponding adjustment measures need to be taken;

[0194] Among them, the calculation formula of the screen performance optimization effect index is:

[0195] ;

[0196] Among them, is the screen performance optimization effect index, 、 are the color gamut optimization effect index and the display optimization effect index respectively, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying a preset backlight module color gamut comparison and optimization database).

[0197] According to an embodiment of the present invention, it further includes:

[0198] Comparing and processing the optimized display characteristic data with the pre-optimized display characteristic data to obtain a display optimization effect index, specifically including:

[0199] Based on the optimized brightness uniformity data, optimized contrast data, and optimized spectral distribution uniformity data, and combining with the brightness uniformity data, contrast data, and spectral distribution uniformity data before optimization for comparison processing, the brightness uniformity improvement value data, contrast improvement value data, and spectral distribution uniformity improvement value data are correspondingly obtained;

[0200] Based on the brightness uniformity improvement value data, contrast improvement value data, and spectral distribution uniformity improvement value data for processing, a display optimization effect index is obtained;

[0201] Among them, the calculation formula of the display optimization effect index is:

[0202] ;

[0203] Among them, is the display optimization effect index, , , are respectively the brightness uniformity improvement value data, contrast improvement value data, and spectral distribution uniformity improvement value data, , are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset backlight module color gamut comparison and optimization database).

[0204] It should be noted that by comparing the changes in the screen display characteristics before and after optimization, including brightness uniformity, contrast, and the optimized spectral distribution uniformity, 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 calculation using the formula, the display optimization effect index can be obtained.

[0205] According to an embodiment of the present invention, it further includes:

[0206] 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;

[0207] Further obtain the corresponding response time data, power consumption data, and reflectivity data of the target screen before and after optimization;

[0208] Based on the corresponding response time data, power consumption data, and reflectivity data before and after optimization for comparison processing, the response time improvement value data, power consumption improvement value data, and reflectivity improvement value data are correspondingly obtained;

[0209] Based on the response time improvement value data, power consumption improvement value data, and reflectivity improvement value data for processing, a function optimization effect index is obtained;

[0210] Compare the functional optimization effect index with the preset functional optimization effect threshold to obtain the corresponding third threshold comparison result;

[0211] Judge whether the screen functional optimization effect meets the standard according to the third threshold comparison result;

[0212] If the third threshold comparison result is greater than or equal to the preset threshold, the screen functional optimization effect meets the standard;

[0213] If the threshold comparison result is less than the preset threshold, the screen functional optimization effect does not meet the standard;

[0214] Among them, the calculation formula of the functional optimization effect index is:

[0215] ;

[0216] Among them, is the functional optimization effect index, , , are the response time improvement value data, power consumption improvement value data, and reflectivity improvement value data respectively, , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset backlight module color gamut comparison and optimization database).

[0217] It should be noted that if the color gamut optimization of the target screen meets the requirements, it can be further judged whether other indicators of the screen also meet the standards. Specifically, obtain the corresponding response time data, power consumption data, and reflectivity data before and after the optimization of the target screen, and then perform one-by-one comparison processing 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 processing, the functional optimization effect index is obtained and compared with the preset threshold. Through the comparison result, it is judged whether the functional optimization effect of the screen also meets the standards.

[0218] The third aspect of the present invention provides a readable storage medium, in which a program for the color gamut comparison and optimization method of the backlight module of the double prism is stored. When the program for the color gamut comparison and optimization method of the backlight module of the double prism is executed by a processor, the steps of the color gamut comparison and optimization method of the backlight module of the double prism as described in any one of the above are realized.

[0219] The method, system and medium for optimizing the color gamut contrast of the backlight module of a double prism according to the present invention obtain the color gamut feature data and display feature data before optimization of the target screen, respectively process them to obtain the corresponding color gamut accuracy index and display accuracy index, evaluate the screen performance according to the color gamut accuracy index and display accuracy index to 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 color gamut feature data and display feature data after optimization according to the test results, perform a comparison process on the color gamut feature data after optimization in combination with the color gamut feature data before optimization to obtain the color gamut optimization effect index, perform a comparison process on the display feature data after optimization in combination with the display feature data before optimization to obtain the display optimization effect index, process according to the color gamut optimization effect index and display optimization effect index to obtain the screen performance optimization effect index, and take corresponding adjustment measures, thereby realizing the technology of optimizing the color gamut contrast of the backlight module of the double prism.

[0220] In 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 illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, 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 with each other can be through some interfaces. The indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0221] The units described as separate components above may or may not be physically separated. The components shown as units may or may not be physical units; they can be located in one place or distributed to multiple network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0222] In addition, in each embodiment of the present invention, each functional unit can be all integrated in one processing unit, or each unit can be separately used as one unit, or two or more units can be integrated in one unit; the above integrated unit can be implemented in the form of hardware, or in the form of a hardware plus software functional unit.

[0223] Those of ordinary skill in the art can understand that all or part of the steps to implement the above method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a readable storage medium. When the program is executed, it performs the steps including those of the above method embodiments. The aforementioned storage medium includes various media that can store program codes, such as removable storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs.

[0224] Alternatively, if the above integrated unit of the present invention is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on such an understanding, the technical solution of the embodiments of the present invention, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media that can store program codes, such as removable storage devices, ROM, RAM, magnetic disks, or optical discs.

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 adjustment measures are taken accordingly; 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.

2. The method for optimizing color gamut contrast of a dual-prism backlight module according to claim 1, 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.

3. The method for optimizing color gamut contrast of a dual-prism backlight module according to claim 2, 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.

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 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.

5. The method for optimizing color gamut contrast of a dual-prism backlight module according to claim 4, 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: The color gamut optimization effect index and the display optimization effect index are processed by 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.

6. 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 adjustment measures are taken accordingly; 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.

7. The dual-prism backlight module color gamut contrast optimization system according to claim 6, 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.

8. 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 5 are implemented.

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