A display device independent color correction system and method
Patent Information
- Application Number
- CN202411316120.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-20
- Publication Date
- 2026-09-15
- Estimated Expiration
- 2044-09-20
AI Technical Summary
现有技术中显示设备的色彩调节需要通过电脑连接硬软件进行校正,费时费力,同时在进行色彩校正时,从整体对显示设备进行校正,不能充分的考虑显示设备中显示区域的显示缺陷,导致色彩校正的不准确,同时在进行色彩校正时,缺乏对亮度的校正,也会导致色彩校正的不准确
[0045] This invention proposes an independent color calibration system and method for display devices. Calibration can be performed directly on the device without requiring a computer connection for hardware and software. Furthermore, it eliminates the need to view the pre- and post-calibration results on a computer, allowing the results to be displayed directly on the display device. This saves on computer usage and software costs, making operation faster and more convenient. This advancement promotes the standardization of color calibration in the display device industry. Simultaneously, during color calibration, it fully considers display defects in the display area of the device, performing color calibration locally and combining it with brightness calibration to improve the accuracy of color calibration.
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Figure CN119274463B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of color correction technology, and in particular to an independent color correction system and method for display devices. Background Technology
[0002] Currently, with the development of optoelectronic and semiconductor technologies, display devices are widely used in all aspects of production and daily life. Existing technologies require computer-connected hardware and software calibration for color adjustment of display devices, which is time-consuming and labor-intensive. Furthermore, color calibration is performed on the entire display device, failing to adequately consider display defects in specific areas, leading to inaccurate color calibration. Additionally, the lack of brightness calibration during color correction also contributes to inaccurate results. Summary of the Invention
[0003] This invention aims to at least partially solve one of the technical problems in the aforementioned technologies. Therefore, the first objective of this invention is to propose an independent color calibration system for display devices. This system eliminates the need for hardware and software connections to a computer for calibration, allowing direct calibration on the device itself. Furthermore, it eliminates the need to view the pre- and post-calibration results on a computer, directly displaying the results on the display device. This saves on computer usage and software costs, making operation faster and more convenient. This advancement promotes the standardization of color calibration in the display device industry. Simultaneously, during color calibration, it fully considers display defects in the display area of the device, performing color calibration locally and combining it with brightness calibration to improve the accuracy of color calibration.
[0004] The second objective of this invention is to provide a method for independent color calibration of display devices.
[0005] To achieve the above objectives, a first aspect of the present invention provides a display device independent color correction system, comprising:
[0006] The acquisition module is used to acquire device information of the display device;
[0007] The partitioning module is used to divide the display area according to the device information to obtain several sub-regions;
[0008] The chromaticity compensation processing module is used to perform chromaticity compensation processing on several sub-regions respectively, resulting in several processed sub-regions;
[0009] The brightness correction module is used to correct the brightness of several processing sub-regions and obtain the correction results.
[0010] According to some embodiments of the present invention, the display device includes a display panel; wherein the display panel includes a plurality of backlight modules, a color filter array, and a liquid crystal layer;
[0011] The backlight module is used to emit light;
[0012] The color filter array includes multiple red filters, multiple blue filters, and multiple green filters, which are arranged in a predetermined pattern to filter out red, blue, and green light from the light from the backlight module and emit it to the corresponding liquid crystal cells in the liquid crystal layer for display.
[0013] According to some embodiments of the present invention, the partitioning module is used to determine the area information mapped by each backlight module based on device information, and to partition the display area according to the area information to obtain several sub-regions.
[0014] According to some embodiments of the present invention, a color compensation processing module includes:
[0015] The first determining module is used for:
[0016] The ideal data stream for each backlight module within the sampling period is determined based on the test video, and the actual data stream for each backlight module within the sampling period is monitored in real time.
[0017] The XYZ difference information is determined based on the ideal data stream and the actual data stream, and the display attenuation curve of each backlight module is determined based on the XYZ difference information.
[0018] Gain processing is performed based on the display attenuation curve of each backlight module to determine the correction curve within the sampling period;
[0019] The first processing module is used to obtain the color information of pixels in the sub-region, perform color compensation processing based on the correction curve, and obtain the processed sub-region.
[0020] According to some embodiments of the present invention, it further includes:
[0021] The sampling module is used to sample each processing sub-region with a preset sampling step size before the brightness correction module performs brightness correction processing on several processing sub-regions, so as to obtain the color values of multiple sampling points corresponding to each color interval in each processing sub-region.
[0022] The second determining module is used to determine the color balance value of the processing sub-region based on the color values of multiple sampling points corresponding to each color interval in the processing sub-region, and compare it with the preset color balance threshold; when it is determined that the color balance value of all processing sub-regions is greater than the preset color balance threshold, it indicates that the color verification of several processing sub-regions is qualified.
[0023] According to some embodiments of the present invention, the second determining module includes:
[0024] The fitting module is used for:
[0025] Determine the color value of each sampling point in each color range in the 3D color model;
[0026] Determine each color direction of the 3D color model, and obtain a fitted straight line based on the color values of each sampling point in the color direction;
[0027] The calculation module is used to calculate the difference between the color value of each sampling point and the color value of the fitted line, and to calculate the average difference; based on the average difference, it queries a preset data table to determine the color balance value of the processed sub-region.
[0028] According to some embodiments of the present invention, a brightness correction module includes:
[0029] The third determining module is used for:
[0030] Determine the color category of each pixel in the processing sub-region, and determine the brightness range based on the maximum and minimum brightness values of pixels of the same category; divide the brightness range into several brightness intervals based on the average brightness.
[0031] Determine the number of pixels in each brightness range, and select the brightness range with the largest number of pixels as the target brightness range;
[0032] Calculate the average brightness of all pixels within the target brightness range, and use it as the target brightness value;
[0033] Compare the brightness values of pixels in other brightness ranges with the target brightness value, and select pixels with brightness values less than the target brightness value as pixels to be enhanced.
[0034] The second processing module is used to adjust the brightness value of the pixel to be enhanced to the target brightness value; and to perform brightness enhancement processing on each color category of the processing sub-region to obtain the corrected processing sub-region.
[0035] According to some embodiments of the present invention, it further includes: a color analysis module for acquiring the brightness value of a pixel in the processing sub-region.
[0036] According to some embodiments of the present invention, it further includes: a synchronization module, used for:
[0037] When the first determining module monitors the actual data stream of each backlight module in real time during the sampling period, it obtains the synchronization reference signal of each backlight module.
[0038] The phase of the synchronization reference signal of each backlight module is compared. If the phase difference between two backlight modules is greater than the preset difference value, the median value of the difference value is determined as the compensation value.
[0039] The compensation values are respectively applied to the synchronization reference signals of the two corresponding backlight modules to achieve synchronous operation of each backlight module.
[0040] To achieve the above objectives, a second aspect of the present invention provides a method for independent color calibration of a display device, comprising:
[0041] Obtain device information for the display device;
[0042] The display area is divided according to the device information to obtain several sub-areas;
[0043] Color compensation is performed on several sub-regions separately to obtain several processed sub-regions;
[0044] Brightness correction is performed on several processing sub-regions to obtain the correction results.
[0045] This invention proposes an independent color calibration system and method for display devices. Calibration can be performed directly on the device without requiring a computer connection for hardware and software. Furthermore, it eliminates the need to view the pre- and post-calibration results on a computer, allowing the results to be displayed directly on the display device. This saves on computer usage and software costs, making operation faster and more convenient. This advancement promotes the standardization of color calibration in the display device industry. Simultaneously, during color calibration, it fully considers display defects in the display area of the device, performing color calibration locally and combining it with brightness calibration to improve the accuracy of color calibration.
[0046] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.
[0047] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description
[0048] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:
[0049] Figure 1 This is a block diagram of a display device independent color correction system according to an embodiment of the present invention;
[0050] Figure 2 This is a block diagram of a color compensation processing module according to an embodiment of the present invention;
[0051] Figure 3This is a flowchart of a display device independent color calibration method according to an embodiment of the present invention. Detailed Implementation
[0052] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.
[0053] like Figure 1 As shown, a first aspect of the present invention provides a display device independent color correction system, comprising:
[0054] The acquisition module is used to acquire device information of the display device;
[0055] The partitioning module is used to divide the display area according to the device information to obtain several sub-regions;
[0056] The chromaticity compensation processing module is used to perform chromaticity compensation processing on several sub-regions respectively, resulting in several processed sub-regions;
[0057] The brightness correction module is used to correct the brightness of several processing sub-regions and obtain the correction results.
[0058] The working principle of the above technical solution is as follows: In this embodiment, the device information includes each backlight module of the display device and its corresponding mapping area. Based on the device information, the display area is divided into several sub-regions by the partitioning module. This facilitates subsequent local color correction processing, without considering the detailed features of each local area, thus improving the accuracy of color correction. First, the color compensation processing module performs color compensation processing on each of the sub-regions, resulting in several processed sub-regions. Then, the brightness correction module performs brightness correction processing on these processed sub-regions to obtain the correction result. Combining brightness correction processing with color correction further improves the display characteristics of the display device and enhances the accuracy of color correction.
[0059] The beneficial effects of the above technical solution are as follows: it eliminates the need for hardware and software calibration via computer connection, allowing calibration to be performed directly on the device. Furthermore, it eliminates the need to view the pre- and post-calibration results on a computer, as the results can be directly displayed on the display device. This saves on computer usage and software costs, making operation faster and more convenient. This advancement promotes the standardization of color calibration in the display device industry. Simultaneously, during color calibration, it fully considers display defects in the display area of the device, performing color calibration locally and combining it with brightness calibration to improve the accuracy of color calibration.
[0060] According to some embodiments of the present invention, the display device includes a display panel; wherein the display panel includes a plurality of backlight modules, a color filter array, and a liquid crystal layer;
[0061] The backlight module is used to emit light;
[0062] The color filter array includes multiple red filters, multiple blue filters, and multiple green filters, which are arranged in a predetermined pattern to filter out red, blue, and green light from the light from the backlight module and emit it to the corresponding liquid crystal cells in the liquid crystal layer for display.
[0063] According to some embodiments of the present invention, the partitioning module is used to determine the area information mapped by each backlight module based on device information, and to partition the display area according to the area information to obtain several sub-regions.
[0064] The working principle and beneficial effects of the above technical solution are as follows: Based on the information of each backlight module of the display device, the area is divided, which facilitates the management and fault detection of each backlight module, and also facilitates the fine management and control of the display area to improve the display effect and energy saving.
[0065] like Figure 2 As shown, according to some embodiments of the present invention, the color compensation processing module includes:
[0066] The first determining module is used for:
[0067] The ideal data stream for each backlight module within the sampling period is determined based on the test video, and the actual data stream for each backlight module within the sampling period is monitored in real time.
[0068] The XYZ difference information is determined based on the ideal data stream and the actual data stream, and the display attenuation curve of each backlight module is determined based on the XYZ difference information.
[0069] Gain processing is performed based on the display attenuation curve of each backlight module to determine the correction curve within the sampling period;
[0070] The first processing module is used to obtain the color information of pixels in the sub-region, perform color compensation processing based on the correction curve, and obtain the processed sub-region.
[0071] The working principle and beneficial effects of the above technical solution are as follows: By playing a test video on the display device, the actual data stream of each backlight module within the sampling period is monitored in real time. The ideal data stream represents the ideal brightness and color values that each backlight module should output at different time points. The actual data stream represents the actual brightness and color values output by each backlight module at different time points. Based on the difference between the ideal and actual data streams, the XYZ difference information can be determined, that is, the difference between the actual color value output by each pixel during display and the ideal color value. By comparing the XYZ values of the ideal and actual data streams, the XYZ difference information of each pixel can be calculated. After obtaining the XYZ difference information, the display attenuation curve of each backlight module can be determined based on this information. The display attenuation curve describes the relationship between the actual brightness output and the ideal brightness output of each backlight module when displaying different colors. By analyzing the XYZ difference information, the brightness attenuation law of the backlight module under different colors can be derived, thereby correcting the brightness output of each backlight module during the display process to improve the accuracy and stability of the display effect. Based on the display attenuation curve of each backlight module, gain processing can be performed to adjust the output brightness and color of each backlight module, thereby determining the calibration curve within the sampling period. Gain processing refers to amplifying or reducing the output signal of each backlight module to adjust its brightness and color output to meet the set standard or ideal state. When determining the calibration curve within the sampling period, a corresponding adjustment scheme needs to be formulated based on the obtained display attenuation curve of each backlight module and the target display effect. The calibration curve describes how the output signal of each backlight module is adjusted within the sampling period to ensure the accuracy and stability of the overall display effect. Through gain processing and the formulation of calibration curves, the output effect of the backlight modules can be optimized, improving the display quality and stability of the display device. The calibration curve can ensure that the data stream output by each backlight module within the sampling period meets the expected or standard requirements, thereby improving the accuracy and consistency of the overall display effect. Color compensation processing is then performed based on the determined calibration curve. Color compensation processing refers to adjusting the chromaticity components in the color space to achieve color calibration and color accuracy. By adjusting the calibration curve, color information is corrected in terms of chromaticity to improve the color accuracy and consistency of the display effect. The color information has been corrected, making the colors more accurate and realistic.
[0072] According to some embodiments of the present invention, it further includes:
[0073] The sampling module is used to sample each processing sub-region with a preset sampling step size before the brightness correction module performs brightness correction processing on several processing sub-regions, so as to obtain the color values of multiple sampling points corresponding to each color interval in each processing sub-region.
[0074] The second determining module is used to determine the color balance value of the processing sub-region based on the color values of multiple sampling points corresponding to each color interval in the processing sub-region, and compare it with the preset color balance threshold; when it is determined that the color balance value of all processing sub-regions is greater than the preset color balance threshold, it indicates that the color verification of several processing sub-regions is qualified.
[0075] The working principle and beneficial effects of the above technical solution are as follows: Each processing sub-region is sampled using a preset sampling step size to obtain the color values of multiple sampling points corresponding to each color interval within each processing sub-region. This includes: gridding or random sampling of the processing sub-region according to the preset sampling step size to ensure coverage of the entire sub-region. For each color interval, color values are sequentially obtained at each sampling point. The XYZ values or other color space values can be obtained by reading the color information of pixels. The color values of the sampling points for each color interval are recorded and organized for subsequent analysis and processing of color data in each color interval. The distribution and trend of color within the sub-region are evaluated based on the changes in the color values of the sampling points. Obtaining the color values of multiple sampling points corresponding to each color interval within each processing sub-region provides more detailed and comprehensive data support for subsequent color processing, adjustment, and analysis. The color balance value represents the degree of color balance. When the color balance value of all processing sub-regions is greater than the preset color balance threshold, it indicates that the color verification of several processing sub-regions is qualified. This allows for color verification of the processed sub-regions. If the color verification is successful, it facilitates the next step of brightness correction. If the color verification fails, color compensation needs to be performed again to improve the accuracy of color correction.
[0076] According to some embodiments of the present invention, the second determining module includes:
[0077] The fitting module is used for:
[0078] Determine the color value of each sampling point in each color range in the 3D color model;
[0079] Determine each color direction of the 3D color model, and obtain a fitted straight line based on the color values of each sampling point in the color direction;
[0080] The calculation module is used to calculate the difference between the color value of each sampling point and the color value of the fitted line, and to calculate the average difference; based on the average difference, it queries a preset data table to determine the color balance value of the processed sub-region.
[0081] The working principle and beneficial effects of the above technical solution are as follows: Determine the color value of each sampling point in each color interval within the 3D color model. Based on the color information of the sampling points, convert them into coordinate values in the 3D color model, such as coordinates in the XYZ color space. Determine each color direction in the 3D color model. Color directions can be determined based on known color value data using a fitting algorithm (such as least squares). For each color direction, based on the color values of each sampling point in that direction, perform fitting to obtain a fitted straight line or curve. A suitable mathematical model can be selected for fitting, such as linear regression or polynomial fitting. Calculate the difference between the color value of each sampling point and the color value of the fitted straight line. Euclidean distance or other similarity indices can be used to calculate the difference between color values. Calculate the difference values of all sampling points and obtain the average difference. This average reflects the overall degree of difference between the fitted straight line and the actual color values. A preset data table is a difference average value - color balance value data table. Query the preset data table based on the difference average value to determine the color balance value of the processed sub-region. This facilitates accurate and rapid determination of the color balance value of the processed sub-region. Analyzing and evaluating color data in the processed sub-regions to draw conclusions about color balance helps improve the accuracy and stability of image processing.
[0082] According to some embodiments of the present invention, a brightness correction module includes:
[0083] The third determining module is used for:
[0084] Determine the color category of each pixel in the processing sub-region, and determine the brightness range based on the maximum and minimum brightness values of pixels of the same category; divide the brightness range into several brightness intervals based on the average brightness.
[0085] Determine the number of pixels in each brightness range, and select the brightness range with the largest number of pixels as the target brightness range;
[0086] Calculate the average brightness of all pixels within the target brightness range, and use it as the target brightness value;
[0087] Compare the brightness values of pixels in other brightness ranges with the target brightness value, and select pixels with brightness values less than the target brightness value as pixels to be enhanced.
[0088] The second processing module is used to adjust the brightness value of the pixel to be enhanced to the target brightness value; and to perform brightness enhancement processing on each color category of the processing sub-region to obtain the corrected processing sub-region.
[0089] The working principle and beneficial effects of the above technical solution are as follows: The third determining module is used to determine the color category of each pixel in the processing sub-region, and determine the brightness range based on the maximum and minimum brightness values of pixels of the same category; divide the brightness range into several brightness intervals according to the average brightness; determine the number of pixels in each brightness interval, and take the brightness interval with the largest number as the target brightness interval; calculate the average brightness of all pixels in the target brightness interval as the target brightness value; compare the brightness values of pixels in other brightness intervals with the target brightness value, and select pixels with brightness values less than the target brightness value as pixels to be enhanced; the second processing module is used to adjust the brightness value of the pixels to be enhanced to the target brightness value; perform brightness enhancement processing on each color category of the processing sub-region to obtain the corrected processing sub-region. This facilitates the determination of the reference equalization brightness value, i.e., the target brightness value, and adjusts the brightness value of the pixels to be enhanced according to the target brightness value to achieve brightness enhancement processing, thereby obtaining accurate correction results.
[0090] According to some embodiments of the present invention, it further includes: a color analysis module for acquiring the brightness value of a pixel in the processing sub-region.
[0091] According to some embodiments of the present invention, it further includes: a synchronization module, used for:
[0092] When the first determining module monitors the actual data stream of each backlight module in real time during the sampling period, it obtains the synchronization reference signal of each backlight module.
[0093] The phase of the synchronization reference signal of each backlight module is compared. If the phase difference between two backlight modules is greater than the preset difference value, the median value of the difference value is determined as the compensation value.
[0094] The compensation values are respectively applied to the synchronization reference signals of the two corresponding backlight modules to achieve synchronous operation of each backlight module.
[0095] The working principle and beneficial effects of the above technical solution are as follows: Real-time monitoring of the actual data stream of each backlight module within the sampling period. By monitoring the actual data stream, the operating status and performance of the backlight modules can be obtained. Synchronization reference signals for each backlight module are acquired. These synchronization reference signals serve as a benchmark for coordination and synchronous operation between the backlight modules. The phases of the synchronization reference signals for each backlight module are compared. By comparing the phases of the synchronization reference signals, the synchronization status between the backlight modules can be determined. If the phase difference between two backlight modules exceeds a preset difference value, the median value of the difference is determined as a compensation value. This median value can be obtained by calculating the average of the phase differences between the two backlight modules or by other methods. The compensation value is then applied to the corresponding synchronization reference signals of the two backlight modules. By applying the compensation value to the synchronization reference signals, the synchronization relationship between the two backlight modules can be adjusted, achieving their synchronous operation. It can effectively monitor and adjust the synchronization between various backlight modules, ensuring their coordinated operation. It can also improve the efficiency and stability of backlight module operation, ensure the consistency and accuracy of work results, and most importantly, accurately determine the actual data flow of each backlight module within the sampling period, which also facilitates the consistency of data recording.
[0096] like Figure 3 As shown, a second aspect of the present invention provides a method for independent color calibration of a display device, comprising steps S1-S4:
[0097] S1. Obtain device information of the display device;
[0098] S2. Divide the display area according to the device information to obtain several sub-areas;
[0099] S3. Perform chromaticity compensation processing on several sub-regions to obtain several processed sub-regions;
[0100] S4. Perform brightness correction processing on several processing sub-regions to obtain the correction results.
[0101] The beneficial effects of the above technical solution are as follows: it eliminates the need for hardware and software calibration via computer connection, allowing calibration to be performed directly on the device. Furthermore, it eliminates the need to view the pre- and post-calibration results on a computer, as the results can be directly displayed on the display device. This saves on computer usage and software costs, making operation faster and more convenient. This advancement promotes the standardization of color calibration in the display device industry. Simultaneously, during color calibration, it fully considers display defects in the display area of the device, performing color calibration locally and combining it with brightness calibration to improve the accuracy of color calibration.
[0102] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A display device independent color correction system, characterized by, include: The acquisition module is used to acquire device information of the display device; The partitioning module is used to divide the display area according to the device information to obtain several sub-regions; The chromaticity compensation processing module is used to perform chromaticity compensation processing on several sub-regions respectively, resulting in several processed sub-regions; The brightness correction module is used to correct the brightness of several processing sub-regions and obtain the correction results. The display device includes a display panel; wherein the display panel includes a plurality of backlight modules, a color filter array, and a liquid crystal layer; The backlight module is used to emit light; The color filter array includes multiple red filters, multiple blue filters and multiple green filters, which are arranged in a predetermined pattern to filter out red, blue and green light from the light from the backlight module and emit it to the corresponding liquid crystal cells of the liquid crystal layer for display. The color compensation processing module includes: The first determining module is used for: The ideal data stream for each backlight module within the sampling period is determined based on the test video, and the actual data stream for each backlight module within the sampling period is monitored in real time. The XYZ difference information is determined based on the ideal data stream and the actual data stream. The display attenuation curve for each backlight module is then determined based on this XYZ difference information. The ideal data stream represents the ideal brightness and color values that each backlight module should output at different time points. The actual data stream represents the actual brightness and color values output by each backlight module at different time points. The XYZ difference information represents the difference between the actual color value output by each pixel and the ideal color value during display. The display attenuation curve describes the relationship between the actual brightness output and the ideal brightness output of each backlight module when displaying different colors. Gain processing is performed based on the display attenuation curve of each backlight module to determine the correction curve within the sampling period; The first processing module is used to obtain the color information of pixels in the sub-region, perform color compensation processing based on the correction curve, and obtain the processed sub-region. The system also includes: The sampling module is used to sample each processing sub-region with a preset sampling step size before the brightness correction module performs brightness correction processing on several processing sub-regions, so as to obtain the color values of multiple sampling points corresponding to each color interval in each processing sub-region. The second determining module is used to determine the color balance value of the processing sub-region based on the color values of multiple sampling points corresponding to each color interval in the processing sub-region, and compare it with the preset color balance threshold; when it is determined that the color balance value of all processing sub-regions is greater than the preset color balance threshold, it indicates that the color verification of several processing sub-regions is qualified. The second determining module includes: The fitting module is used for: Determine the color value of each sampling point in each color range in the 3D color model; Determine each color direction of the 3D color model, and obtain a fitted straight line based on the color values of each sampling point in the color direction; The calculation module is used to calculate the difference between the color value of each sampling point and the color value of the fitted line, and to calculate the average difference; based on the average difference, it queries a preset data table to determine the color balance value of the processed sub-region. The brightness correction module includes: The third determining module is used for: Determine the color category of each pixel in the processing sub-region, and determine the brightness range based on the maximum and minimum brightness values of pixels of the same category; divide the brightness range into several brightness intervals based on the average brightness. Determine the number of pixels in each brightness range, and select the brightness range with the largest number of pixels as the target brightness range; Calculate the average brightness of all pixels within the target brightness range, and use it as the target brightness value; Compare the brightness values of pixels in other brightness ranges with the target brightness value, and select pixels with brightness values less than the target brightness value as pixels to be enhanced. The second processing module adjusts the brightness value of the pixels to be enhanced to the target brightness value; it also performs brightness enhancement processing on each color category of the processing sub-region to obtain the corrected processing sub-region. The system also includes: Synchronization module, used for: While the first determining module monitors the actual data stream of each backlight module in real time during the sampling period, it acquires the synchronization reference signal of each backlight module; the synchronization reference signal serves as the benchmark for coordination and synchronous operation among the backlight modules. The phase of the synchronization reference signal of each backlight module is compared. If the phase difference between two backlight modules is greater than the preset difference value, the median value of the difference value is determined as the compensation value. The compensation values are respectively applied to the synchronization reference signals of the two corresponding backlight modules to achieve synchronous operation of each backlight module.
2. The display device independent color correction system of claim 1, wherein, The division module is used to determine the area information mapped by each backlight module based on the device information, and to divide the display area according to the area information to obtain several sub-areas.
3. The display device independent color correction system of claim 1, wherein, Also includes: The color analysis module is used to obtain the brightness values of pixels in the processed sub-region.
4. A method for independent color calibration of a display device, characterized in that, include: Obtain device information for the display device; The display area is divided according to the device information to obtain several sub-areas; Color compensation is performed on several sub-regions separately to obtain several processed sub-regions; Brightness correction is performed on several processing sub-regions to obtain the correction results; The display device includes a display panel; wherein the display panel includes a plurality of backlight modules, a color filter array, and a liquid crystal layer; The backlight module is used to emit light; The color filter array includes multiple red filters, multiple blue filters and multiple green filters, which are arranged in a predetermined pattern to filter out red, blue and green light from the light from the backlight module and emit it to the corresponding liquid crystal cells of the liquid crystal layer for display. Chromaticity compensation is performed on several sub-regions separately, resulting in several processed sub-regions, including: The ideal data stream for each backlight module within the sampling period is determined based on the test video, and the actual data stream for each backlight module within the sampling period is monitored in real time. The XYZ difference information is determined based on the ideal data stream and the actual data stream. The display attenuation curve for each backlight module is then determined based on this XYZ difference information. The ideal data stream represents the ideal brightness and color values that each backlight module should output at different time points. The actual data stream represents the actual brightness and color values output by each backlight module at different time points. The XYZ difference information represents the difference between the actual color value output by each pixel and the ideal color value during display. The display attenuation curve describes the relationship between the actual brightness output and the ideal brightness output of each backlight module when displaying different colors. Gain processing is performed based on the display attenuation curve of each backlight module to determine the correction curve within the sampling period; Obtain the color information of pixels in the sub-region, perform chromaticity compensation processing based on the correction curve, and obtain the processed sub-region; The method also includes: Before performing brightness correction on several processing sub-regions, each processing sub-region is sampled with a preset sampling step size to obtain the color values of multiple sampling points corresponding to each color range in each processing sub-region. Based on the color values of multiple sampling points corresponding to each color range in the processing sub-region, the color balance value of the processing sub-region is determined and compared with the preset color balance threshold; when it is determined that the color balance value of all processing sub-regions is greater than the preset color balance threshold, it indicates that the color verification of several processing sub-regions is qualified. Determine the color balance value for the processed sub-region, including: Determine the color value of each sampling point in each color range in the 3D color model; Determine each color direction of the 3D color model, and obtain a fitted straight line based on the color values of each sampling point in the color direction; Calculate the difference between the color value of each sampling point and the color value of the fitted line, and calculate the average difference; based on the average difference, query the preset data table to determine the color balance value of the processed sub-region; Brightness correction is performed on several processing sub-regions to obtain the correction results, including: Determine the color category of each pixel in the processing sub-region, and determine the brightness range based on the maximum and minimum brightness values of pixels of the same category; divide the brightness range into several brightness intervals based on the average brightness. Determine the number of pixels in each brightness range, and select the brightness range with the largest number of pixels as the target brightness range; Calculate the average brightness of all pixels within the target brightness range, and use it as the target brightness value; Compare the brightness values of pixels in other brightness ranges with the target brightness value, and select pixels with brightness values less than the target brightness value as pixels to be enhanced. The brightness value of the pixel to be enhanced is adjusted to the target brightness value; brightness enhancement processing is performed on each color category of the processing sub-region to obtain the corrected processing sub-region; The method also includes: While monitoring the actual data stream of each backlight module within the sampling period in real time, a synchronization reference signal for each backlight module is acquired; the synchronization reference signal serves as the benchmark for coordination and synchronous operation among the backlight modules. The phase of the synchronization reference signal of each backlight module is compared. If the phase difference between two backlight modules is greater than the preset difference value, the median value of the difference value is determined as the compensation value. The compensation values are respectively applied to the synchronization reference signals of the two corresponding backlight modules to achieve synchronous operation of each backlight module.
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