CN-121617356-B - Miniled display screen brightness regulation and control method and device based on multi-source environment sensing and display screen

Abstract

The invention provides a Miniled display screen brightness regulation and control method, a device and a display screen based on multi-source environment perception, which are characterized in that by acquiring the dynamic change information of the environment light in the current environment and the content characteristic information of the current display image of the display screen, the dynamic change information of the environment light and the content characteristic information are input into a preset human eye vision perception model to carry out perception requirement analysis, a perception requirement characteristic set matched with the current viewing scene is obtained, and calling a dynamic mapping mechanism to execute brightness mapping relation construction according to the perception demand feature set, generating a dynamic brightness mapping curve reflecting the synergistic effect of the ambient light and the image content, calling a pre-constructed partition light effect model, carrying out inverse solution according to the partition light effect model and the dynamic brightness mapping curve, generating partition calibration driving parameters, and sending to the MiniLED backlight module to carry out brightness adjustment. The invention effectively improves the accuracy of Miniled display screen brightness regulation and control and the visual comfort of human eyes, and simultaneously ensures the consistency of the actual output of hardware and the target brightness.

Inventors

• CHEN YANHUA
• CHEN CHAOCHENG
• ZHANG MOHAN
• Cai Xiaoen
• Yang Guanshui
• YUAN PING

Assignees

• 贵州理工学院
• 深圳市创义信光电科技有限公司

Dates

Publication Date

20260505

Application Date

20251231

Claims (10)

1. 1. Miniled display screen brightness regulation and control method based on multisource environment perception is characterized by comprising the following steps: acquiring environment light dynamic change information in a current environment and content characteristic information of a current display image of a display screen, wherein the environment light dynamic change information comprises illumination intensity distribution conditions at different moments, and the content characteristic information comprises brightness distribution and color distribution conditions of each display area in the image; inputting the dynamic change information of the environment light and the characteristic information of the content into a preset human eye vision perception model for carrying out perception requirement analysis to obtain a perception requirement characteristic set matched with the current watching scene, wherein the perception requirement characteristic set comprises brightness sensitivity indexes and vision comfort preference indexes of human eyes on different display areas; According to the perceived-demand feature set, a dynamic mapping mechanism is called to execute brightness mapping relation construction, and a dynamic brightness mapping curve reflecting the synergistic effect of ambient light and image content is generated, wherein the dynamic brightness mapping curve is used for describing a nonlinear conversion relation from an input brightness value to an output brightness value; Calling a pre-constructed partition light effect model, wherein the partition light effect model comprises light effect output characteristics of each partition lamp bead under different driving conditions and light crosstalk influence degree between adjacent partitions, and the partition light effect model is pre-constructed based on temperature sensitivity test data and light crosstalk test data before delivery; And carrying out inverse solution according to the partition light effect model and the dynamic brightness mapping curve to generate partition calibration driving parameters, and sending the partition calibration driving parameters to a driving control unit of the MiniLED backlight module to drive brightness adjustment.
2. 2. The method according to claim 1, wherein the inputting the environmental light dynamic change information and the content feature information into a preset human eye visual perception model to perform perception requirement analysis, to obtain a perception requirement feature set matched with a current viewing scene, includes: Performing time domain fluctuation sampling on the environment light dynamic change information, dividing the environment light dynamic change information into a first fluctuation segment and a second fluctuation segment according to a light intensity change period, respectively extracting fluctuation amplitude characteristics and duration characteristics of each segment, and generating a time domain environment characteristic sequence; Performing region visual weight marking on an image display region in the content characteristic information, identifying a first type region and a second type region in an image, respectively calculating brightness distribution density and color transition smoothness of each region, and generating a region content characteristic matrix; cross dimension association is carried out on the time domain environment characteristic sequence and the area content characteristic matrix, the response association degree of the first fluctuation segment and the first type area and the adaptation association degree of the second fluctuation segment and the second type area are calculated, and a cross perception association matrix is generated; inquiring a preset visual perception threshold library based on the cross perception correlation matrix, acquiring brightness perception threshold and color perception threshold of each region under current ambient light fluctuation, and adjusting the dynamic range of each threshold according to the region content feature matrix to generate a dynamic perception threshold sequence; carrying out hierarchical analysis on the dynamic perception threshold sequence, analyzing the brightness sensitivity component of the first type region, analyzing the visual comfort component of the second type region, calculating the variation trend of each component in the time domain environment characteristic sequence, and generating a trend characteristic vector; And dynamically assembling the brightness sensitivity component, the visual comfort component and the trend feature vector, and sequencing according to the regional visual weight to construct a perception requirement feature set, so that the sensitivity feature weight of a first type region is higher than that of a second type region, and generating the perception requirement feature set matched with the current viewing scene.
3. 3. The method of claim 2, wherein the cross-dimensionally associating the temporal environmental feature sequence with the region content feature matrix, calculating a response association of the first fluctuation segment with the first type region, and an adaptation association of the second fluctuation segment with the second type region, and generating a cross-perception association matrix, comprises: Performing dimension expansion on the time domain environment feature sequence, respectively performing normalization processing on the fluctuation amplitude features and the duration features of the first fluctuation segment, converting the fluctuation amplitude features and the duration features into dimensionless two-dimensional fluctuation feature matrixes, and converting the features of the second fluctuation segment into two-dimensional stable feature matrixes in the same way; Performing region size standardization and feature normalization on the region content feature matrix, unifying matrix dimensions and numerical ranges of each display region, and enabling the number of rows, the number of columns and the numerical scale of the feature matrix of the first type region and the second type region to be consistent to generate a standardized region feature matrix; Setting a fixed calculation window on the standardized regional characteristic matrix, wherein the window size is matched with the dimension of the two-dimensional fluctuation characteristic matrix, sliding the window according to the row priority order, and inquiring the association weight value of the normalized regional characteristic in the window and the corresponding element of the two-dimensional fluctuation characteristic matrix based on a predefined association rule mapping table respectively; Dynamically weighting and summing all window association weight values corresponding to the first fluctuation segment and the first type region to generate a weighted response association degree, wherein the weight value is determined according to the weight level in the region visual weight mark, and the weight value is larger when the weight level is higher; Performing cumulative calculation on all window association weight values corresponding to the second fluctuation segment and the second type region, and sequentially accumulating the association weight values according to the spatial position of the region in the image to generate cumulative adaptation association degree; And filling the weighted response association degree and the accumulated adaptation association degree into a preset matrix frame according to a row-column correspondence, wherein a first fluctuation segment corresponds to a matrix row, a first type region corresponds to a matrix column, a second fluctuation segment corresponds to a second type region, and a cross perception association matrix is generated.
4. 4. The method according to claim 2, wherein the querying a preset visual perception threshold library based on the cross-perception correlation matrix, obtaining a brightness perception threshold and a color perception threshold of each region under current ambient light fluctuation, and adjusting a dynamic range of each threshold according to the region content feature matrix, and generating a dynamic perception threshold sequence includes: performing threshold value screening on the cross perception correlation matrix, comparing matrix elements with a preset correlation strength threshold value, screening out elements larger than the correlation strength threshold value, recording row indexes and column indexes corresponding to each screening element, and generating a strong correlation element list, wherein the row indexes are associated with corresponding fluctuation segments in the time domain environment characteristic sequence, and the column indexes are associated with corresponding display areas in the area content characteristic matrix; Extracting corresponding environmental fluctuation segment features and region content features from the time domain environment feature sequence and the region content feature matrix according to row indexes and column indexes in the strong correlation element list, and combining the corresponding environmental fluctuation segment features and the region content features into a plurality of groups of feature query pairs; Inquiring a preset visual perception threshold library based on each group of characteristic inquiry pairs, acquiring corresponding standard brightness perception threshold values and standard color perception threshold values, and generating a plurality of groups of basic threshold values; Fusing the multiple groups of basic thresholds, and carrying out weighted average on all the basic thresholds related to each display region according to the related values of the corresponding strong related elements to generate an initial fused brightness threshold and an initial fused color threshold of the region; Respectively inputting a predefined brightness adjustment mapping function and a predefined color adjustment mapping function to map the brightness distribution density into a first dimensionless adjustment factor, wherein the brightness adjustment mapping function is configured to map the brightness distribution density into a second dimensionless adjustment factor, the color adjustment mapping function is configured to map the color transition smoothness into the higher color transition smoothness, the output second dimensionless adjustment factor is smaller, the first dimensionless adjustment factor is taken as a brightness threshold adjustment coefficient, and the second dimensionless adjustment factor is taken as a color threshold adjustment coefficient; Scaling the dynamic ranges of the initial fusion brightness threshold and the initial fusion color threshold respectively through the brightness threshold adjustment coefficient and the color threshold adjustment coefficient to generate a final brightness perception threshold and a final color perception threshold of each region; and arranging the final brightness perception threshold values and the final color perception threshold values of all the areas according to the area sequence to generate a dynamic perception threshold value sequence.
5. 5. The method of claim 1, wherein the invoking the dynamic mapping mechanism to perform the luminance mapping relationship construction according to the perceived need feature set generates a dynamic luminance mapping curve reflecting the synergistic effect of the ambient light and the image content, comprising: Layering the perception demand feature set according to the spatial position of the display area, and dividing the perception demand feature set into a central area feature layer, a transition area feature layer and an edge area feature layer, wherein each layer comprises brightness sensitivity indexes and visual comfort preference indexes of corresponding areas; Respectively performing time domain sampling on the central region feature layer, the transition region feature layer and the edge region feature layer, extracting feature values of features of each layer at different moments according to preset time intervals, and generating time domain feature sequences of each layer; Calculating the association strength of the central region feature layer and the transition region feature layer and the association strength of the transition region feature layer and the edge region feature layer, and generating an interlayer association strength value by expressing the association strength by the ratio of the feature value multiplication sum to the feature value square sum; Generating a brightness mapping base curve of a corresponding region based on the time domain feature sequences of each layer, wherein the base curve of a central region takes brightness sensitivity indexes as a leading factor, the base curve of an edge region takes visual comfort preference indexes as a leading factor, and the base curves of transition regions are integrated; carrying out interlayer fusion on the brightness mapping base curves according to the interlayer correlation intensity values, wherein the higher the correlation intensity values are, the larger the base curve weights of the corresponding adjacent layers are, and the three-layer base curves are fused into a primary brightness mapping curve through weighted average; and performing time domain smoothing optimization on the preliminary brightness mapping curve, calculating the slope change quantity of the curve at adjacent sampling moments, and if the change quantity exceeds a preset threshold value, adjusting the curve value at the later moment to generate a dynamic brightness mapping curve.
6. 6. The method of claim 5, wherein the calculating the association strength of the central region feature layer with the transition region feature layer, the association strength of the transition region feature layer with the edge region feature layer, the association strength represented by a ratio of a feature value product and a feature value sum of squares, generating an inter-layer association strength value comprises: the time domain feature sequences of the central region feature layer, the transition region feature layer and the edge region feature layer are aligned in length, and the overlapping part of the time stamps in each sequence is intercepted, so that each sequence contains the same number of feature value samples; Converting brightness sensitivity indexes and visual comfort preference indexes in each layer of time domain feature sequences into standardized feature values, and dividing the feature values by standard deviation after subtracting the mean value from the feature values to enable the feature values to be in the same numerical range; Constructing covariance matrixes of the central region and the transition region and covariance matrixes of the transition region and the edge region, wherein matrix elements are covariance of corresponding characteristic value sequences, rows represent central region characteristics or transition region characteristics, and columns represent transition region characteristics or edge region characteristics; calculating the trace of the covariance matrix, wherein the larger the trace value is, the larger the covariance sum of the two-layer characteristics is represented as a molecular item of the correlation strength calculation; calculating the square sum of the characteristic values of the central region characteristic layer and the transition region characteristic layer, adding the two characteristic values as denominator items for correlation strength calculation, wherein the larger the square sum is, the larger the total energy of the two layers of characteristics is; Dividing the numerator term by the denominator term to obtain an interlayer association strength value, and generating a center transition association strength value and a transition edge association strength value; performing time domain smoothing optimization on the preliminary brightness mapping curve, calculating the slope variation of the curve at adjacent sampling moments, and if the variation exceeds a preset threshold, adjusting the curve value at the later moment to generate a dynamic brightness mapping curve, wherein the method comprises the following steps: Slope calculation is carried out on the preliminary brightness mapping curve, and the slope value of each sampling point is calculated according to the mode that the curve value difference value of adjacent sampling moments is divided by the time interval, so that a slope sequence is generated; extracting the change amount of the slope sequence, calculating the difference value of adjacent slope values, and generating a slope change amount sequence, wherein the change amount is positive and negative, and the change amount indicates that the slope is increased and the slope is decreased; determining a threshold range of the slope change amount according to the maximum value and the minimum value of the preliminary brightness mapping curve, wherein the larger the difference value between the maximum value and the minimum value is, the wider the threshold range is, and generating a dynamic threshold upper limit and a dynamic threshold lower limit; Traversing the slope change quantity sequence, identifying a super-threshold point with the change quantity exceeding the upper limit of the dynamic threshold or being lower than the lower limit of the dynamic threshold, and recording the position index of the super-threshold point and the corresponding slope change quantity; The curve value of the last sampling moment corresponding to the super-threshold point is adjusted and calculated, and the curve value is adjusted according to the deviation degree of the slope change quantity of the super-threshold point and the threshold value in proportion, and the larger the deviation is, the larger the adjustment amplitude is; And (3) recalculating the slope sequence and the slope variation sequence of the adjusted preliminary brightness mapping curve, verifying whether all variation is in the dynamic threshold range, and if the super threshold point exists, executing the super threshold point identification and curve value adjustment operation again until all variation meets the smoothness requirement, so as to generate the dynamic brightness mapping curve.
7. 7. The method of claim 1, wherein invoking the pre-built partitioned light effect model comprises: Invoking a pre-stored spatial distribution matrix, wherein the spatial distribution matrix is generated based on spatial coordinate marks of MiniLED backlight partition lamp bead clusters before delivery, and recording two-dimensional coordinates of all lamp beads in each partition lamp bead cluster, and matrix elements are lamp bead coordinate sets of corresponding partitions; Invoking a pre-generated temperature sensitivity coefficient sequence, wherein the temperature sensitivity coefficient sequence is generated based on temperature sensitivity test data of each partition lamp bead cluster before delivery, and describes the change rule of light effect output at different environmental temperatures; Invoking a pre-constructed subarea crosstalk matrix, wherein the subarea crosstalk matrix is generated based on optical crosstalk test data of adjacent subarea lamp bead clusters before delivery, and comprises crosstalk influence degree between adjacent subareas; carrying out regional brightness requirement sampling on the dynamic brightness mapping curve to generate a target brightness requirement sequence of each regional; Performing associated modeling on the spatial distribution matrix, the temperature sensitivity coefficient sequence, the subarea crosstalk matrix and the target brightness demand sequence to generate a subarea light effect model containing light effect output characteristics and crosstalk influences; and carrying out parameter adaptation on the partitioned light effect model, inquiring corresponding coefficients in the temperature sensitivity coefficient sequence according to the current ambient temperature, and adjusting temperature influence parameters in the model to enable the model output to adapt to the current temperature condition.
8. 8. The method of claim 7, wherein the invoking the pre-generated temperature-sensitive coefficient sequence comprises: Reading a pre-stored temperature sensitivity coefficient sequence from a display screen storage unit, wherein the temperature sensitivity coefficient sequence is generated by fitting each partitioned lamp bead cluster after light effect sampling at different environmental temperatures before delivery, and comprises sensitivity coefficients corresponding to a plurality of temperature nodes; Acquiring a real-time temperature value acquired by a current environmental temperature sensor, matching the real-time temperature value with a temperature node in the temperature sensitivity coefficient sequence, and directly calling a sensitivity coefficient corresponding to the node if the real-time temperature value is consistent with a certain temperature node; The matched or interpolated sensitive coefficients are arranged according to the partition sequence, and a partition temperature sensitive coefficient vector at the current temperature is generated and used as a real-time calling result of the temperature sensitive coefficient sequence; Adjusting a temperature influence item in a partition light effect model based on the partition temperature sensitivity coefficient vector, so that the calculated light effect output of the partition light effect model reflects the actual characteristic at the current temperature; The calling the pre-constructed partition crosstalk matrix comprises the following steps: Reading a pre-stored subarea crosstalk matrix from a display screen storage unit, wherein the subarea crosstalk matrix is generated by controlling single subarea driving condition change before delivery and calculating after collecting adjacent subarea light effect change quantity, rows represent interfered subareas, columns represent interfered subareas, and elements are crosstalk influence degrees; identifying a partition set in an activated state according to the partition working state of the current display screen, setting the crosstalk influence degree of an unactivated partition to be zero, and generating an activated partition crosstalk submatrix; sparsizing the active subarea crosstalk submatrix, reserving elements with absolute values larger than a preset crosstalk threshold value, and setting the rest elements to zero to generate a sparse crosstalk matrix; Mapping the row index and the column index of the sparse crosstalk matrix with the current partition number to ensure that the partition positions corresponding to matrix elements are consistent with the partition layout of the actual display screen, and generating a partition crosstalk matrix with calibrated positions; and calculating the influence degree of the adjacent subarea driving condition change on the current subarea light effect output based on the subarea crosstalk matrix after the position calibration.
9. 9. Miniled display screen brightness regulation and control device, characterized by comprising: The information acquisition module is used for acquiring the dynamic change information of the ambient light in the current environment and the content characteristic information of the current display image of the display screen, wherein the dynamic change information of the ambient light comprises the distribution conditions of illumination intensity at different moments, and the content characteristic information comprises the brightness distribution and the color distribution conditions of each display area in the image; the demand analysis module is used for inputting the dynamic change information of the environment light and the content characteristic information into a preset human eye vision perception model to carry out perception demand analysis to obtain a perception demand characteristic set matched with the current watching scene, wherein the perception demand characteristic set comprises brightness sensitivity indexes and vision comfort preference indexes of human eyes on different display areas; the relation construction module is used for calling a dynamic mapping mechanism to execute brightness mapping relation construction according to the perception demand feature set, and generating a dynamic brightness mapping curve reflecting the synergistic effect of the ambient light and the image content, wherein the dynamic brightness mapping curve is used for describing the nonlinear conversion relation from an input brightness value to an output brightness value; The model calling module is used for calling a pre-built partition light effect model, the partition light effect model comprises light effect output characteristics of each partition lamp bead under different driving conditions and light crosstalk influence degree between adjacent partitions, and the partition light effect model is pre-built based on temperature sensitivity test data and light crosstalk test data before delivery; And the driving adjustment module is used for carrying out inverse solution according to the partition light effect model and the dynamic brightness mapping curve to generate partition calibration driving parameters, and sending the partition calibration driving parameters to a driving control unit of the MiniLED backlight module to drive brightness adjustment.
10. 10. A display screen comprising a memory and a processor, the memory storing a computer program executable on the processor, wherein the processor implements the steps of the method of any one of claims 1 to 8 when the program is executed.

Description

Miniled display screen brightness regulation and control method and device based on multi-source environment sensing and display screen Technical Field The invention relates to the technical field of data processing, in particular to a Miniled display screen brightness regulation and control method and device based on multi-source environment sensing and a display screen. Background Along with the development of display technology, the brightness control of MiniLED display screens becomes a key for improving the display effect. The existing brightness regulating and controlling method is mainly used for regulating according to single ambient light parameters or overall brightness of images, so that the perception requirements of human eyes on different areas are difficult to accurately reflect, and meanwhile, the light efficiency characteristics and crosstalk influence of backlight partitions are ignored, so that the regulating and controlling precision is insufficient, and the display effect and the visual comfort cannot be considered. Disclosure of Invention In view of the above, the invention provides a Miniled display screen brightness control method and device based on multi-source environment sensing and a display screen. The technical scheme of the invention is realized as follows: On one hand, the embodiment of the invention provides a Miniled display screen brightness regulation and control method based on multi-source environment perception, which comprises the steps of obtaining environment light dynamic change information under the current environment and content characteristic information of a current display image of a display screen, wherein the environment light dynamic change information comprises illumination intensity distribution conditions at different moments, the content characteristic information comprises brightness distribution and color distribution conditions of each display area in the image, inputting the environment light dynamic change information and the content characteristic information into a preset human eye vision perception model to carry out perception demand analysis, obtaining a perception demand characteristic set matched with a current viewing scene, wherein the perception demand characteristic set comprises brightness sensitivity indexes and visual comfort indexes of human eyes on different display areas, executing brightness mapping relation construction according to the perception demand characteristic set, generating a dynamic brightness mapping curve reflecting the synergic action of environment light and image content, wherein the dynamic brightness mapping curve is used for describing a nonlinear conversion relation from an input brightness value to an output brightness value, calling a pre-constructed partition light effect model, the partition light effect model comprises brightness sensitivity indexes of each partition lamp under different light driving conditions and the output partition light effect model, driving the brightness value is carried out the partition effect model to the brightness value, and the brightness regulation and control unit is driven by the brightness regulation and control method based on the brightness regulation and the brightness regulation parameters. On the other hand, the embodiment of the invention provides a Miniled display screen brightness regulation device, which comprises an information acquisition module, a display screen brightness regulation module and a display screen brightness regulation module, wherein the information acquisition module is used for acquiring the dynamic change information of the ambient light in the current environment and the content characteristic information of the current display image of the display screen, the dynamic change information of the ambient light comprises the illumination intensity distribution conditions at different moments, and the content characteristic information comprises the brightness distribution and the color distribution conditions of each display area in the image; the system comprises a demand analysis module for inputting the dynamic change information of the environment light and the content characteristic information into a preset human eye vision perception model to carry out perception demand analysis to obtain a perception demand characteristic set matched with the current viewing scene, wherein the perception demand characteristic set comprises brightness sensitivity indexes and visual comfort preference indexes of human eyes on different display areas, a relation construction module for calling a dynamic mapping mechanism to execute brightness mapping relation construction according to the perception demand characteristic set to generate a dynamic brightness mapping curve reflecting the synergic action of the environment light and the image content, the dynamic brightness mapping curve is used for describing a nonlinear conversion relation from an input