Mini LED partition light control intelligent adjustment method and system

Abstract

The invention provides a MiniLED partition light control intelligent adjustment method and system, and relates to the technical field of partition light control intelligent adjustment, and the method comprises the steps: obtaining same-grade combination region information and different-grade combination region information, calculating brightness target data, and carrying out the region brightness adjustment; a combined illumination area is obtained, illumination control is carried out, and illumination control information of different levels is obtained; obtaining time sequence input image information, obtaining a same-grade time sequence change area and different-grade time sequence change areas, calculating and comparing change coefficients, obtaining a grade change comparison result, carrying out grade brightness updating analysis, carrying out brightness updating adjustment, and obtaining different-grade updating brightness adjustment data. According to the invention, the brightness adjustment and control of different levels of areas are realized, the brightness is updated and adjusted according to different time sequence changes, and the efficiency and accuracy of MiniLED subarea light control are improved.

Description

Technical Field

[0001] The present invention proposes a MiniLED zone light control intelligent adjustment method and system, which relates to the field of intelligent adjustment technology, and specifically to the field of zone light control intelligent adjustment technology. Background Art

[0002] When processing image brightness, traditional display devices often use a relatively simple brightness adjustment method, which makes it difficult to accurately adapt to the complex and changing brightness requirements of different areas in the image.

[0003] Existing technologies lack sufficient precision in the brightness division of display areas, making it difficult to fully exploit the brightness characteristics of different image components. Consequently, accurate information on combined areas of equal and different levels cannot be obtained, resulting in inaccurate calculation of target brightness data. This ultimately impacts the effectiveness of regional brightness adjustments and makes it difficult to obtain ideal comprehensive brightness adjustment data. Existing technologies also lack effective mechanisms for processing sequential input image information. This prevents timely and accurate brightness updates and adjustments, making it difficult to adapt to the brightness changes of dynamic images, impacting the viewing experience. Summary of the Invention

[0004] The present invention provides a MiniLED zone light control intelligent adjustment method and system to solve the above problems:

[0005] The present invention proposes a MiniLED zone light control intelligent adjustment method and system, the method comprising:

[0006] S1. Divide the display area into multiple image brightness sub-regions with multiple preset brightness levels using input image information, obtain information about combined regions of the same level and combined regions of different levels, calculate brightness target data, perform regional brightness adjustment, and obtain comprehensive brightness adjustment data;

[0007] S2. Obtaining corresponding backlight area position information based on the sub-area position information, combining them to obtain a combined illumination area, performing illumination control, and obtaining illumination control information of different levels;

[0008] S3. Obtain the time-series input image information, obtain the same-level time-series change areas and different-level time-series change areas, calculate and compare the change coefficients, obtain the level change comparison results, perform level brightness update analysis, and then perform brightness update adjustment to obtain different level update brightness adjustment data.

[0009] Furthermore, the system includes:

[0010] A regional brightness analysis and adjustment module is used to divide the display area into multiple image brightness sub-regions with multiple preset different brightness levels based on the input image information, obtain information about combined regions of the same level and combined regions of different levels, calculate brightness target data, perform regional brightness adjustment, and obtain comprehensive brightness adjustment data;

[0011] A combined illumination control module is used to obtain corresponding backlight area position information based on the sub-area position information, combine them to obtain combined illumination areas, perform illumination control, and obtain illumination control information of different levels;

[0012] The timing change analysis and update module is used to obtain timing input image information, obtain timing change areas of the same level and timing change areas of different levels, calculate and compare change coefficients, obtain level change comparison results, perform level brightness update analysis, and then perform brightness update adjustment to obtain different level update brightness adjustment data.

[0013] Beneficial effects of the present invention: The present invention ensures that when image information changes, small-scale brightness adjustment is performed according to the change information, avoiding the problem of resource waste and increased complexity caused by large-scale brightness adjustment when there is only a small change.

[0014] By dividing the display area into sub-areas with different brightness levels and adjusting the brightness separately, the brightness of the display screen can be controlled more accurately, making the transition between light and dark more natural and improving the display effect.

[0015] Accurately determining the backlight area based on the image sub-area position information and performing combined lighting control can effectively improve backlight utilization efficiency, reduce unnecessary backlight energy consumption, and lower power consumption.

[0016] By acquiring time-series input image information and analyzing time-series change areas to perform brightness update and adjustment, the display system can better adapt to dynamically changing picture content, adjust brightness in real time, ensure that the picture maintains the best display effect in different scenarios, and enhance the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of a MiniLED zone light control intelligent adjustment method. DETAILED DESCRIPTION

[0018] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0019] In one embodiment of the present invention, a MiniLED zoned light control intelligent adjustment method and system is proposed, the method comprising:

[0020] S1. Dividing the display area into multiple image brightness sub-regions of multiple preset brightness levels using input image information, obtaining information about combined regions of the same level and information about combined regions of different levels, calculating brightness target data, performing regional brightness adjustment, and obtaining comprehensive brightness adjustment data; the comprehensive brightness adjustment data includes brightness adjustment data for regions of the same level and brightness adjustment data for combined regions of different levels;

[0021] S2. Obtaining corresponding backlight area position information based on the sub-area position information, combining them to obtain a combined illumination area, performing illumination control, and obtaining illumination control information of different levels;

[0022] S3. Obtain the time series input image information, obtain the same level time series change area and the different level time series change area, calculate and compare the change coefficient, obtain the level change comparison result, perform level brightness update analysis, and then perform brightness update adjustment to obtain different level update brightness adjustment data, such as Figure 1 shown.

[0023] The working principle and technical effect of the above technical solution are: based on the input image information, the display area is divided into multiple image brightness sub-areas according to preset difference brightness levels, and information of combination areas of the same level and combination areas of different levels is obtained.

[0024] Calculate the brightness target data, adjust the brightness of each area based on this data, and generate comprehensive brightness adjustment data that includes brightness adjustment data for areas of the same level and combined areas of different levels.

[0025] The corresponding backlight area position information is determined according to the image sub-area position information, and these backlight areas are combined to form a combined illumination area.

[0026] Lighting control is implemented on the combined lighting area to generate different levels of lighting control information.

[0027] The time series input image information is obtained, and the regions with the same level of time series change and the regions with different levels of time series change are analyzed.

[0028] The coefficients of variation of these areas are calculated and compared to obtain the grade change comparison results.

[0029] Based on the results, a level brightness update analysis is performed, and finally the brightness update adjustment is completed to generate different level update brightness adjustment data.

[0030] By dividing the display area into sub-areas with different brightness levels and adjusting the brightness separately, the brightness of the display screen can be controlled more accurately, making the transition between light and dark more natural and improving the display effect.

[0031] Accurately determining the backlight area based on the image sub-area position information and performing combined lighting control can effectively improve backlight utilization efficiency, reduce unnecessary backlight energy consumption, and lower power consumption.

[0032] By acquiring sequential input image information and analyzing the areas of sequential change to perform brightness updates and adjustments, the display system can better adapt to dynamically changing content, adjusting brightness in real time to ensure optimal display quality in different scenarios and enhance the user experience. This ensures that when image information changes, small-scale brightness adjustments are made based on these changes, avoiding the waste of resources and increased complexity caused by large-scale brightness adjustments for only minor changes.

[0033] In one embodiment of the present invention, the S1 includes:

[0034] The input image information is obtained, and the image information of each preset position in the display area is positioned according to the input image information, and the image brightness information of the image information positioning is obtained; the preset position can be multiple preset key positions or each pixel position.

[0035] Dividing the image brightness information by preset difference brightness levels to obtain multiple image brightness sub-regions with multiple preset difference brightness levels; the preset difference brightness levels can be divided according to image histogram clustering;

[0036] Combining sub-region data of image brightness sub-regions with the same preset brightness difference level to obtain information of combined regions with the same level; the combination of sub-region data is only a logical level data combination, not a physical location level combination;

[0037] Combining sub-region data of image brightness sub-regions with different preset brightness difference levels to obtain information of combined regions with different levels;

[0038] Calculating a brightness target coefficient for each piece of combined area information of the same level in the combined area information of different levels;

[0039] The calculation formula of the brightness target coefficient is:

[0040]

[0041] Among them, LK is the brightness target coefficient, Q1 and Q2 are weight data, Q1 value range is 0.6-0.8, Q2 value range is 0.2-0.4, L n is the normalized brightness value (average brightness of the current area / maximum brightness), C n is the normalized contrast value (contrast of current area / maximum contrast);

[0042] The brightness target coefficient calculated by this method directly reflects the balance between brightness and contrast. It only requires mean and standard deviation statistics. By adapting the weights to different display scenarios, the result automatically falls in the interval [0,1].

[0043] The brightness target of each combination area information of the same level is adjusted according to the brightness target coefficient to obtain the brightness adjustment data of the same level area, and then obtain the brightness adjustment data of the combination areas of different levels.

[0044] The working principle and technical effect of the above technical solution are: obtain input image information, locate the image information according to preset positions (which can be set to multiple preset key positions or each pixel position) for the display area, and obtain the image brightness information corresponding to these positioning positions.

[0045] The acquired image brightness information is divided according to a preset difference brightness level. The division of the preset difference brightness level can be performed by using an image histogram clustering method to divide the image into a plurality of image brightness sub-regions with different brightness levels.

[0046] At the logical level, image brightness sub-regions with the same preset brightness difference level are combined to obtain information about the same-level combined regions. Simultaneously, image brightness sub-regions with different preset brightness difference levels are combined to obtain information about the different-level combined regions. This data combination does not involve merging at a physical location, but rather categorizing at the data processing level.

[0047] The brightness target coefficient is calculated for each piece of combined region information of the same level in the combined region information of different levels.

[0048] According to the calculated brightness target coefficient, the brightness target is adjusted for each combination area information of the same level, thereby obtaining brightness adjustment data for the same level area, and further obtaining brightness adjustment data for the combination areas of different levels. Different level data includes multiple same level data.

[0049] Target brightness = minimum brightness of the same level combination area + LK × (maximum brightness of the same level combination area - minimum brightness of the same level combination area);

[0050] By carefully positioning the image information and acquiring the brightness information of the display area, and dividing the sub-areas according to preset brightness levels, refined management of the image brightness is achieved, which can more accurately match the brightness requirements of different areas and improve the picture display quality.

[0051] The image histogram clustering method is used to divide the preset difference brightness levels, which makes the division of brightness levels more scientific and reasonable and can better reflect the brightness distribution characteristics of the image itself.

[0052] Combining sub-region data at the logical level avoids unnecessary physical location processing, improves data processing efficiency, and reduces system complexity and computing costs.

[0053] By calculating the brightness target coefficient and adjusting the brightness target, accurate brightness adjustments can be made based on the characteristics of different combined areas of the same level, making the brightness of each area of ​​the picture more in line with actual needs and enhancing the layering and visual effects of the picture.

[0054] In one embodiment of the present invention, S2 includes:

[0055] Acquiring corresponding backlight area position information of the backlight module according to sub-area position information of multiple image brightness sub-areas of multiple preset difference brightness levels;

[0056] Combining the sub-region position information of each preset difference brightness level with the corresponding backlight region position information to obtain a combined illumination region;

[0057] The lighting control information of the combined lighting area is obtained by controlling the brightness adjustment data of the same level area;

[0058] Obtain different levels of lighting control information through the lighting control information of the same level area.

[0059] The working principle and technical effect of the above technical solution are as follows: Based on the sub-region position information of multiple image brightness sub-regions divided into multiple preset brightness levels, the corresponding backlight region position information is found in the backlight module. Because the image display area requires the backlight module to provide lighting support, the correspondence between the image region and the backlight region is established through position matching.

[0060] The position information of each sub-area with a preset brightness difference level is combined with the position information of the corresponding backlight area to form a combined illumination area. This process links the brightness distribution of the image with the illumination range of the backlight.

[0061] The previously obtained brightness adjustment data for the same-level areas is used to control the lighting of the combined lighting area. The brightness adjustment data for the same-level areas reflects the brightness requirements of the areas with the same brightness level in the image. Based on this data, the lighting intensity of the corresponding combined lighting area is adjusted to obtain the lighting control information for the same-level areas.

[0062] Based on the illumination control information of the same-level areas, further analysis and integration are performed to obtain different-level illumination control information. This different-level illumination control information comprehensively considers the illumination requirements of each area with different brightness levels in the image, providing a comprehensive illumination control strategy for the entire backlight module.

[0063] By matching and combining the image brightness sub-area positions with the backlight area positions, precise positioning and control of the backlight area is achieved. The backlight brightness can be accurately adjusted according to the actual brightness distribution of the image, avoiding unnecessary energy waste and improving backlight utilization efficiency.

[0064] The lighting control of the combined lighting area is performed based on the brightness adjustment data of the areas with the same brightness level, ensuring that the areas with the same brightness level in the image can obtain the appropriate light intensity, making the transition between light and dark in the picture more natural and the color performance more accurate, thereby improving the overall display quality.

[0065] Precise backlight control can dynamically adjust the backlight brightness according to the image content. While ensuring the display effect, it reduces the energy consumption of the backlight module, extends the service life of the equipment, and meets the requirements of energy conservation and environmental protection.

[0066] It can adapt to the brightness changes of different image contents, and by obtaining different levels of lighting control information, it provides stable and high-quality lighting support for image display in various complex scenes, thereby enhancing the adaptability and reliability of the display system.

[0067] In one embodiment of the present invention, S3 includes:

[0068] Acquire time-series input image information according to the time-series information, extract change regions for the same-level combined region information according to the time-series input image information, and obtain time-series change regions of the same level;

[0069] According to the time sequence input image information, the change region is extracted for the different levels of combined region information to obtain the different levels of time sequence change regions;

[0070] Calculate the same-level temporal change coefficient through the same-level temporal change area information;

[0071] The calculation formula of the same-level time series variation coefficient is:

[0072]

[0073] Where TLG is the temporal variation coefficient of the same level, BX is the number of pixels whose brightness changes between the current frame and the previous frame, QX is the total number of pixels in the area, and PX is the average brightness difference of the changed pixels;

[0074] The time series change coefficient of the same level considers both the change range and the change intensity, and the value range is [0,1];

[0075] Example: If the brightness of 50% of the pixels changes by 10%, then TLG = 0.5 × 0.1 = 0.05

[0076] Calculate different levels of temporal change coefficients through different levels of temporal change area information;

[0077] The calculation formula of the time series variation coefficient of different levels is:

[0078]

[0079] Among them, BLG is the time series variation coefficient of different levels, is the average brightness of the i-th sub-region of the same level in the current frame, is the average brightness of the corresponding sub-region in the previous frame, N is the number of sub-regions that make up the different level regions, and the 255 in the denominator is used for normalization (8-bit image);

[0080] The temporal variation coefficients of different levels only need to store and compare the average brightness of each sub-region, directly reflecting the overall brightness change rate across regions, while still maintaining the normalized range of [0,1]. The computational complexity is reduced by more than 90% compared to edge detection.

[0081] Compare the time series change coefficients of the same level with those of different levels to obtain the level change comparison results;

[0082] The level area is updated according to the level change comparison result, the level brightness update coefficient is calculated, and the brightness update adjustment of different level update areas is performed using different level brightness update coefficients to obtain different level update brightness adjustment data.

[0083] The working principle and technical effect of the above technical solution are as follows: based on time sequence information, time sequence input image information is obtained. For the same level of combined region information, by comparing input images of different time sequences, the regions with changes in brightness or content are extracted to obtain the same level of time sequence change regions. Similarly, for different level of combined region information, the same method is used to extract different level of time sequence change regions.

[0084] The information of time series change regions at the same level is used to calculate the time series change coefficients at the same level and quantify the degree of change in time series of regions at the same level.

[0085] Similarly, according to the information of different levels of temporal change regions, the corresponding formula is used to calculate the temporal change coefficients of different levels to measure the temporal changes of different levels of regions.

[0086] Compare the calculated time series change coefficients of the same level with those of different levels to obtain the level change comparison results and determine the time series change differences between different level areas.

[0087] Based on the level change comparison results, the level area is updated and the level brightness update coefficient is further calculated, which reflects the brightness level that needs to be adjusted after the timing change of different level areas.

[0088] Brightness update adjustment is performed on different level update areas according to different level brightness update coefficients to generate different level update brightness adjustment data.

[0089] It can detect changes in different levels of areas based on time-series input image information in real time, and adjust the brightness in time, so that the display system can quickly adapt to dynamically changing picture content, ensuring that the picture can maintain good display effects in different scenarios.

[0090] By calculating the timing change coefficient, the degree of change in the area can be accurately quantified, and then a reasonable brightness update coefficient can be calculated to achieve precise brightness adjustment of areas of different levels, avoid over-adjustment or under-adjustment, and improve the accuracy and stability of the picture brightness.

[0091] Timely capturing and processing of timing changes in the picture can reduce problems such as screen flickering and uneven brightness, improve the overall quality and visual effects of the picture, and enhance the user's viewing experience.

[0092] Brightness is updated and adjusted based on the comparison results of level changes. This can avoid unnecessary brightness adjustments and reduce energy consumption while ensuring the display effect, thus meeting the requirements of energy conservation and environmental protection.

[0093] In one embodiment of the present invention, the step of updating the level region according to the level change comparison result, calculating the level brightness update coefficient, and adjusting the brightness of different level update regions using different level brightness update coefficients to obtain different level update brightness adjustment data includes:

[0094] When the same-level timing change coefficient is greater than the different-level timing change coefficient, the same-level timing change area corresponding to the same-level timing change coefficient is updated to obtain the same-level updated area; when only part of the area is changed according to the timing change, the brightness of only the same-level timing change area is updated and adjusted, avoiding the problem of waste of resources caused by re-analyzing and adjusting the brightness of the entire area when there is a timing change, reducing the complexity of brightness adjustment, and at the same time avoiding the problem that when there is a change in the same-level area, the brightness is still updated in the original area, unable to adapt to the update and adjustment required by the brightness change of the picture, and lack of flexibility in regional brightness adjustment.

[0095] When the same-level timing change coefficient is less than or equal to the different-level timing change coefficient, the different-level timing change areas corresponding to the different-level timing change coefficients are updated to obtain different-level update areas; when the overall change is greater than all the same-level timing change coefficients, a comprehensive analysis of the overall brightness is performed to improve the accuracy of brightness adjustment, avoiding the problem that when the overall picture changes significantly, only a single area is adjusted and a large number of brightness adjustment needs cannot be solved.

[0096] Calculating a same-level brightness update coefficient based on the same-level update area information, and performing brightness update adjustment on the same-level update area based on the same-level brightness update coefficient to obtain same-level update brightness adjustment data;

[0097] The calculation formula of the brightness update coefficient of the same level is:

[0098]

[0099] Among them, K same is the brightness update coefficient of the same level, TLG is the timing change coefficient of the same level, L C Average brightness of the current area, L T is the target brightness of the brightness level (preset value);

[0100] Different-level brightness update coefficients are calculated based on the different-level update area information, and brightness update adjustment is performed on the different-level update areas based on the different-level brightness update coefficients to obtain different-level update brightness adjustment data. The different-level brightness update coefficients reflect the comprehensive degree of change in multiple different-level combination areas; the different-level update brightness adjustment data includes each same-level update brightness adjustment data after brightness update adjustment is performed on multiple same-level combination areas after time-sequential changes based on the different-level brightness update coefficients.

[0101] The calculation formula of the brightness update coefficient of different levels is:

[0102]

[0103] Among them, K cross is the brightness update coefficient of different levels, BLG is the timing change coefficient of different levels, L max is the maximum brightness of all relevant sub-regions, L min is the minimum brightness of all relevant sub-regions.

[0104] The working principle and technical effect of the above technical solution are as follows: compare the magnitude of the same-level time series change coefficient with the different-level time series change coefficient. When the same-level time series change coefficient is greater than the different-level time series change coefficient, it indicates that the degree of change in the same-level time series change region is relatively more significant. At this time, the same-level time series change region corresponding to the same-level time series change coefficient is updated to obtain the same-level updated region. In this case, no large-scale update adjustment is required.

[0105] When the same-level temporal change coefficient is less than or equal to the different-level temporal change coefficient, it means that the overall image has changed significantly, and the changes in the different-level regions are more prominent. At this time, the different-level temporal change regions corresponding to the different-level temporal change coefficients are updated to obtain different-level update regions. At this time, large-scale update and adjustment are required;

[0106] For each level update region, a brightness update coefficient is calculated. This coefficient takes into account the relevant parameters of the level update region to quantify the degree of brightness adjustment required for that region. Based on the calculated brightness update coefficient, brightness update adjustments are performed on the level update region to generate level update brightness adjustment data.

[0107] For each level of update area information, the corresponding formula is used to calculate the brightness update coefficient for each level. This coefficient reflects the overall degree of change in multiple levels of combined areas. Based on the brightness update coefficients for each level, brightness update adjustments are performed on multiple combined areas of the same level after the timing changes. This results in updated brightness adjustment data for each level, which is then integrated into the updated brightness adjustment data for each level.

[0108] By comparing the timing change coefficients to determine the update area, it is avoided to re-analyze and adjust the brightness of the entire area due to timing changes, effectively reducing unnecessary calculations and resource consumption, reducing the complexity of brightness adjustment, and improving the operating efficiency of the system.

[0109] When there are changes in areas of the same level, the system accurately identifies and adjusts the brightness of the areas with the same level of sequential changes, meeting the brightness changes of the picture and enhancing the flexibility of regional brightness adjustment. When the overall picture changes significantly, the system adjusts the areas with different levels of update to ensure the accuracy of the overall brightness adjustment, so that the picture can maintain a good display effect in different scenes.

[0110] By calculating the brightness update coefficient, the brightness can be accurately adjusted according to the actual changes in the area, avoiding over-adjustment or under-adjustment, making the transition between light and dark in the picture more natural, the color performance more accurate, and improving the overall quality of the picture.

[0111] This solution can flexibly adjust the brightness adjustment strategy according to different timing changes, adapt to various complex and changing picture contents, and enhance the adaptability and stability of the display system.

[0112] In one embodiment of the present invention, the step of acquiring time-series input image information based on time-series information, extracting change regions from combined region information of the same level based on the time-series input image information, and obtaining time-series change regions of the same level includes:

[0113] Obtain first input image information and second input image information for a combined region of the same level in the time sequence information; the first input image information is the input image information that comes earlier in the time sequence information, and the second input image information is the input image information that comes later in the time sequence information. The first input image information is typically adjacent to the second input image information.

[0114] Extracting the first input image information and the second input image information from each combined region of the same level to obtain first region information of the same level and second region information of the same level;

[0115] Comparing the first same-level region information with the second same-level region information according to preset same-level comparison condition information to obtain a same-level multi-condition comparison result;

[0116] According to the comparison results of multiple conditions at the same level, the change status of the combined areas at the same level is determined to obtain the change determination information at the same level;

[0117] Based on the same-level change determination information, the same-level combination areas are marked with the same-level temporal change areas to obtain the same-level temporal change areas. If the same-level multi-condition comparison results are not met, the same-level change determination is performed on the same-level combination areas and then marked. Otherwise, no determination is made and no marking is performed.

[0118] The working principle and technical effect of the above technical solution are: obtaining the first input image information (the adjacent image information in the previous time sequence) and the second input image information (the adjacent image information in the next time sequence) of the same level combination area from the time sequence information.

[0119] For each same-level combined region, corresponding first same-level region information and second same-level region information are extracted from the first input image information and the second input image information respectively.

[0120] According to the preset same-level comparison condition information, the first same-level region information and the second same-level region information are compared to obtain the same-level multi-condition comparison result.

[0121] The change status of the same-level combination area is determined based on the same-level multi-condition comparison results. If the same-level multi-condition comparison results are not met, the same-level combination area is determined to have changed, and then the same-level time series change area is marked to obtain the same-level time series change area; if the comparison results are met, no determination or marking is performed.

[0122] By comparing the information of the same-level combined areas in adjacent time-series images and making judgments based on preset comparison conditions, it is possible to accurately detect the areas in the picture that have changed and whether there are changes at the same level.

[0123] Change judgment and marking are only performed when the multi-condition comparison results of the same level are not met, avoiding unnecessary calculation and processing, reducing system resource consumption, and improving system operation efficiency.

[0124] It can capture the changes of the same-level areas in the picture in time and mark them according to the changes, so that the display system can quickly adapt to the dynamically changing picture content and ensure that the picture can maintain good display effects in different scenes.

[0125] The preset same-level comparison condition information provides a clear basis for change judgment, reduces misjudgment caused by accidental factors or noise, and improves the accuracy and reliability of change detection.

[0126] In one embodiment of the present invention, extracting the change regions of the combined region information of different levels according to the time-sequential input image information to obtain the time-sequential change regions of different levels includes:

[0127] Acquire different level combination areas in the time series information to extract the first input image information and the second input image information to obtain first different level area information and second different level area information;

[0128] Comparing the first different level region information and the second different level region information according to preset different level comparison condition information to obtain different level multi-condition comparison results;

[0129] According to the results of the multi-condition comparison at different levels, the different level combination areas are marked with different level time series change areas to obtain different level time series change areas. If the multi-condition comparison results at different levels are not met, the different level combination areas are judged for different level changes and then marked. Otherwise, no judgment is made and no marking is performed.

[0130] The working principle and technical effect of the above technical solution are as follows: for different level combination areas in the time series information, the corresponding different level area information in the first input image information (image data earlier in the time series) and the second input image information (image data later in the time series) are extracted respectively to obtain the first different level area information and the second different level area information.

[0131] Based on the preset different level comparison condition information, the first different level region information and the second different level region information are comprehensively compared. Through the comparison, a different level multi-condition comparison result is obtained, which reflects the temporal changes of the different level regions.

[0132] The different level combination areas are judged based on the different level multi-condition comparison results. If the different level multi-condition comparison results are not met, it indicates that the different level combination area has changed in time series. At this time, the different level change judgment is performed on it and it is marked as a different level time series change area. If the comparison results are met, the area is not judged or marked.

[0133] By comparing the adjacent time-series image information of different level combination areas and making judgments based on preset conditions, it is possible to accurately identify the areas where changes occur between different level areas in the picture, providing accurate target areas for operations such as brightness adjustment and image processing, avoiding indiscriminate processing of the entire picture, and improving the targetedness and efficiency of processing.

[0134] The information of contrast conditions at different levels comprehensively considers the changes of multiple features, can adapt to complex and changing picture scenes, accurately capture the changes of areas at different levels, and ensure that the detection of picture changes is highly accurate and reliable.

[0135] Change judgment and annotation are only performed when the comparison conditions are not met, which reduces unnecessary calculations and processing, reduces system resource consumption, improves system operation efficiency and response speed, and enables the system to process time series image information more efficiently.

[0136] By marking the areas of different levels of timing changes in a timely and accurate manner, targeted brightness adjustments or other image processing operations can be performed based on the changes in these areas, thereby improving the overall display effect of the picture and ensuring that the picture maintains good visual quality in different scenarios.

[0137] In one embodiment of the present invention, the step of comparing the first region information of the same level with the second region information of the same level according to preset same-level comparison condition information to obtain the same-level multi-condition comparison result includes:

[0138] The preset same-level comparison condition information includes the pixel change area ratio, position change area ratio, area change area ratio, and brightness target coefficient change ratio of the same-level combined area information;

[0139] Calculate the sum of the pixel change area ratio, position change area ratio, area change area ratio, and brightness target coefficient change ratio to obtain the sum of the same level conditions;

[0140] Comparing the sum of the same-level conditions with a preset same-level condition threshold to obtain a same-level adjustment comparison result;

[0141] The comparison result of the same-level conditions is the comparison result of multiple conditions of the same level.

[0142] The working principle and technical effect of the above technical solution are: for the information of the same-level combined areas, the proportion of pixel change areas (that is, the proportion of the area of ​​the area where pixel changes occur to the area of ​​the entire same-level combined area), the proportion of position change areas (the proportion of the area of ​​the area where the area position changes), the proportion of area change areas (the proportion of the area of ​​the area where the area changes), and the proportion of brightness target coefficient change (the proportion of the degree of change in the brightness target coefficient) are calculated respectively.

[0143] The above calculated percentages of pixel change, position change, area change, and brightness target coefficient change are added together to obtain the sum of the conditions at the same level. This combines the changes in multiple dimensions to form a comprehensive quantitative indicator.

[0144] Compare the sum of the conditions at the same level with the preset threshold for the same level. If the sum is greater than the threshold, the region at the same level is considered to have undergone significant changes. If it is less than or equal to the threshold, no significant changes have occurred. The comparison result is the result of the multi-condition comparison at the same level.

[0145] By comprehensively considering the proportion of changes in multiple dimensions such as pixels, position, area and brightness target coefficient, we can comprehensively and accurately evaluate the temporal changes in combined areas of the same level, avoiding the one-sidedness that may be caused by single-dimensional evaluation.

[0146] Adding up the change proportions of multiple dimensions and comparing them with the preset threshold provides a more scientific and reasonable judgment basis for change detection, improves the accuracy and reliability of change detection, and reduces the possibility of misjudgment and missed judgment.

[0147] The preset same-level condition thresholds can be adjusted according to different application scenarios and needs, enabling the system to flexibly adapt to various complex picture changes and ensure that changes in the same-level combination areas can be accurately detected in different scenarios.

[0148] In one embodiment of the present invention, the step of comparing the first region information of a different level with the second region information of a different level according to preset comparison condition information of different levels to obtain a comparison result of multiple conditions of different levels includes:

[0149] The preset different levels of contrast condition information include pixel change area ratio, position change area ratio, area change area ratio, and brightness target coefficient change ratio of different levels of combined area information;

[0150] Calculate the sum of the pixel change area ratio, position change area ratio, area change area ratio, and brightness target coefficient change ratio to obtain the sum of different level conditions;

[0151] Comparing the sum of the different level conditions with the preset different level condition thresholds to obtain different level adjustment comparison results;

[0152] The comparison results of conditions at different levels are comparison results of multiple conditions at different levels.

[0153] The working principle and technical effect of the above technical solution are as follows: for information on regions of different levels of combination, the pixel change region ratio (i.e., the ratio of the number of pixels whose pixel values ​​have changed to the total number of pixels in the region), the position change region ratio (the ratio of the area of ​​the region whose position in the image has changed to the total area of ​​the regions of different levels of combination), the area change region ratio (the ratio of the area of ​​the region whose area size has changed), and the brightness target coefficient change ratio (the ratio of the degree of change in the brightness target coefficient of the region) are calculated respectively. These indicators measure the temporal changes of regions of different levels of combination from different perspectives.

[0154] The calculated percentages of pixel change, position change, area change, and brightness target coefficient change are added together to obtain the sum of the conditions at different levels. This combines the changes in multiple dimensions into a comprehensive quantitative value.

[0155] The sum of the different-level conditions is compared with the preset threshold for different-level conditions. If the sum is greater than the threshold, it is determined that the different-level combination area has undergone significant changes; if it is less than or equal to the threshold, it is determined that no significant changes have occurred. The result of this comparison is the result of the different-level multi-condition comparison.

[0156] By comprehensively considering the proportion of changes in multiple dimensions such as pixels, position, area and brightness target coefficient, the degree of change in different level combination areas in time series can be accurately quantified.

[0157] By combining the changes in multiple dimensions and comparing them with preset thresholds, we can avoid the errors that may occur in single-dimensional judgment, improve the reliability and accuracy of change detection, and effectively reduce misjudgments and missed judgments.

[0158] Different level condition thresholds can be flexibly set according to actual picture scenes and needs, so that the system can adapt to various complex and changeable picture conditions and accurately detect changes in different level combination areas.

[0159] Accurate comparison results of multiple conditions at different levels help the system allocate resources rationally and only perform subsequent processing on areas where significant changes have occurred, avoiding unnecessary calculations and resource waste and improving the processing efficiency of the system.

[0160] By accurately detecting and judging changes in different level combination areas, it can provide accurate target areas for subsequent brightness adjustment, image enhancement and other operations, thereby improving the overall display quality of the picture and ensuring that the picture maintains good visual effects in different scenarios.

[0161] In one embodiment of the present invention, the system includes:

[0162] A regional brightness analysis and adjustment module is configured to divide the display area into multiple image brightness sub-regions with multiple preset brightness levels based on input image information, obtain information about combined regions of the same level and combined regions of different levels, calculate brightness target data, perform regional brightness adjustment, and obtain comprehensive brightness adjustment data; the comprehensive brightness adjustment data includes brightness adjustment data for regions of the same level and brightness adjustment data for regions of different levels;

[0163] A combined illumination control module is used to obtain corresponding backlight area position information based on the sub-area position information, combine them to obtain combined illumination areas, perform illumination control, and obtain illumination control information of different levels;

[0164] The timing change analysis and update module is used to obtain timing input image information, obtain timing change areas of the same level and timing change areas of different levels, calculate and compare change coefficients, obtain level change comparison results, perform level brightness update analysis, and then perform brightness update adjustment to obtain different level update brightness adjustment data.

[0165] The working principle and technical effect of the above technical solution are: based on the input image information, the display area is divided into multiple image brightness sub-areas according to preset difference brightness levels, and information of combination areas of the same level and combination areas of different levels is obtained.

[0166] Calculate the brightness target data, adjust the brightness of each area based on this data, and generate comprehensive brightness adjustment data that includes brightness adjustment data for areas of the same level and combined areas of different levels.

[0167] The corresponding backlight area position information is determined according to the image sub-area position information, and these backlight areas are combined to form a combined illumination area.

[0168] Lighting control is implemented on the combined lighting area to generate different levels of lighting control information.

[0169] The time series input image information is obtained, and the regions with the same level of time series change and the regions with different levels of time series change are analyzed.

[0170] The coefficients of variation of these areas are calculated and compared to obtain the grade change comparison results.

[0171] Based on the results, a level brightness update analysis is performed, and finally the brightness update adjustment is completed to generate different level update brightness adjustment data.

[0172] By dividing the display area into sub-areas with different brightness levels and adjusting the brightness separately, the brightness of the display screen can be controlled more accurately, making the transition between light and dark more natural and improving the display effect.

[0173] Accurately determining the backlight area based on the image sub-area position information and performing combined lighting control can effectively improve backlight utilization efficiency, reduce unnecessary backlight energy consumption, and reduce power consumption.

[0174] By acquiring sequential input image information and analyzing the areas of sequential change to perform brightness updates and adjustments, the display system can better adapt to dynamically changing content, adjusting brightness in real time to ensure optimal display quality in different scenarios and enhance the user experience. This ensures that when image information changes, small-scale brightness adjustments are made based on these changes, avoiding the waste of resources and increased complexity caused by large-scale brightness adjustments for only minor changes.

[0175] Obviously, those skilled in the art may make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if such modifications and variations fall within the scope of the claims and their equivalents, the present invention is intended to include such modifications and variations.

Claims

1. A MiniLED zone light control intelligent adjustment method, characterized in that: The method comprises: S1. Divide the display area into multiple image brightness sub-regions with multiple preset brightness levels using input image information, obtain information about combined regions of the same level and combined regions of different levels, calculate brightness target data, perform regional brightness adjustment, and obtain comprehensive brightness adjustment data; S2. Obtaining corresponding backlight area position information based on the sub-area position information, combining them to obtain a combined illumination area, performing illumination control, and obtaining illumination control information of different levels; S3. Obtain the time-series input image information, obtain the same-level time-series change areas and different-level time-series change areas, calculate and compare the change coefficients, obtain the level change comparison results, perform level brightness update analysis, and then perform brightness update adjustment to obtain different level update brightness adjustment data.

2. According to claim 1, a MiniLED zone light control intelligent adjustment method is characterized in that: Said S1 comprises: Acquire input image information, locate the image information at each preset position in the display area according to the input image information, and obtain image brightness information of the image information location; Dividing the image brightness information by a preset difference brightness level to obtain a plurality of image brightness sub-regions of a plurality of preset difference brightness levels; Combining sub-region data of image brightness sub-regions with the same preset brightness difference level to obtain information of combined regions with the same level; combining sub-region data of image brightness sub-regions with different preset brightness difference levels to obtain information of combined regions with different levels; Calculating a brightness target coefficient for each piece of combined area information of the same level in the combined area information of different levels; The brightness target of each combination area information of the same level is adjusted according to the brightness target coefficient to obtain the brightness adjustment data of the same level area, and then obtain the brightness adjustment data of the combination areas of different levels.

3. The MiniLED zone light control intelligent adjustment method according to claim 1, characterized in that: The S2 includes: Acquiring corresponding backlight area position information of the backlight module according to sub-area position information of multiple image brightness sub-areas of multiple preset difference brightness levels; Combining the sub-region position information of each preset difference brightness level with the corresponding backlight region position information to obtain a combined illumination region; The lighting control information of the combined lighting area is obtained by controlling the brightness adjustment data of the same level area; Obtain different levels of lighting control information through the lighting control information of the same level area.

4. The MiniLED zone light control intelligent adjustment method according to claim 1, characterized in that: The S3 includes: Acquire time-series input image information according to the time-series information, extract change regions for the same-level combined region information according to the time-series input image information, and obtain time-series change regions of the same level; According to the time sequence input image information, the change region is extracted for the combination region information of different levels to obtain the time sequence change regions of different levels; Calculate the same-level temporal change coefficient through the same-level temporal change area information; Calculate different levels of temporal change coefficients through different levels of temporal change area information; Compare the time series change coefficients of the same level with those of different levels to obtain the level change comparison results; The level area is updated according to the level change comparison result, the level brightness update coefficient is calculated, and the brightness update adjustment of different level update areas is performed using different level brightness update coefficients to obtain different level update brightness adjustment data.

5. The MiniLED zone light control intelligent adjustment method according to claim 4, characterized in that: The step of updating the level area according to the level change comparison result, calculating the level brightness update coefficient, and adjusting the brightness of different level update areas by using different level brightness update coefficients to obtain different level update brightness adjustment data includes: When the same-level time series change coefficient is greater than the different-level time series change coefficient, the same-level time series change region corresponding to the same-level time series change coefficient is updated to obtain the same-level update region; When the same-level temporal change coefficient is less than or equal to the different-level temporal change coefficient, the different-level temporal change regions corresponding to the different-level temporal change coefficients are updated to obtain different-level update regions; Calculating a same-level brightness update coefficient based on the same-level update area information, and performing brightness update adjustment on the same-level update area based on the same-level brightness update coefficient to obtain same-level update brightness adjustment data; Different levels of brightness update coefficients are calculated according to different level update area information, and brightness update adjustment is performed on different level update areas according to the different level brightness update coefficients to obtain different level update brightness adjustment data.

6. The MiniLED zone light control intelligent adjustment method according to claim 4, characterized in that: The step of acquiring time-series input image information according to time-series information, extracting change regions from the same-level combined region information according to the time-series input image information, and obtaining time-series change regions of the same level includes: Acquire first input image information and second input image information of a same-level combined area in the time series information; Extracting the first input image information and the second input image information from each combined region of the same level to obtain first region information of the same level and second region information of the same level; Comparing the first same-level region information with the second same-level region information according to preset same-level comparison condition information to obtain a same-level multi-condition comparison result; According to the comparison results of multiple conditions at the same level, the change status of the combined areas at the same level is determined to obtain the change determination information at the same level; According to the same-level change judgment information, the same-level combination areas are marked with the same-level temporal change areas to obtain the same-level temporal change areas.

7. The MiniLED zone light control intelligent adjustment method according to claim 4, characterized in that: The method of extracting the change regions of the combined region information at different levels according to the time sequence input image information to obtain the time sequence change regions at different levels includes: Acquire different level combination areas in the time series information to extract the first input image information and the second input image information to obtain first different level area information and second different level area information; Comparing the first different level region information and the second different level region information according to preset different level comparison condition information to obtain different level multi-condition comparison results; According to the results of multi-condition comparison at different levels, different levels of combination areas are marked with different levels of temporal change areas to obtain different levels of temporal change areas.

8. The MiniLED zone light control intelligent adjustment method according to claim 6, characterized in that: The step of comparing the first region information of the same level with the second region information of the same level according to the preset same level comparison condition information to obtain the same level multi-condition comparison result includes: The preset same-level comparison condition information includes the pixel change area ratio, position change area ratio, area change area ratio, and brightness target coefficient change ratio of the same-level combined area information; Calculate the sum of the pixel change area ratio, position change area ratio, area change area ratio, and brightness target coefficient change ratio to obtain the sum of the same level conditions; Comparing the sum of the same-level conditions with a preset same-level condition threshold to obtain a same-level adjustment comparison result; The comparison result of the same-level conditions is the comparison result of multiple conditions of the same level.

9. The MiniLED zone light control intelligent adjustment method according to claim 7, characterized in that: The step of comparing the first region information of a different level with the second region information of a different level according to preset comparison condition information of different levels to obtain the comparison results of different levels of multiple conditions includes: The preset different levels of contrast condition information include pixel change area ratio, position change area ratio, area change area ratio, and brightness target coefficient change ratio of different levels of combined area information; Calculate the sum of the pixel change area ratio, position change area ratio, area change area ratio, and brightness target coefficient change ratio to obtain the sum of different level conditions; Comparing the sum of the different level conditions with the preset different level condition thresholds to obtain different level adjustment comparison results; The comparison results of conditions at different levels are comparison results of multiple conditions at different levels.

10. A MiniLED zone light control intelligent adjustment system, characterized in that: The system comprises: A regional brightness analysis and adjustment module is used to divide the display area into multiple image brightness sub-regions with multiple preset different brightness levels based on the input image information, obtain information about combined regions of the same level and combined regions of different levels, calculate brightness target data, perform regional brightness adjustment, and obtain comprehensive brightness adjustment data; A combined illumination control module is used to obtain corresponding backlight area position information based on the sub-area position information, combine them to obtain combined illumination areas, perform illumination control, and obtain illumination control information of different levels; The timing change analysis and update module is used to obtain timing input image information, obtain timing change areas of the same level and timing change areas of different levels, calculate and compare change coefficients, obtain level change comparison results, perform level brightness update analysis, and then perform brightness update adjustment to obtain different level update brightness adjustment data.

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