A patterned low-power display driving method based on multi-frequency linkage

Abstract

The present invention relates to a patterned low-power display driving method based on multi-frequency linkage, comprising the following steps: using a region recognition method to partition a display panel to obtain a plurality of display regions; obtaining and analyzing the voltage and current waveforms of pixels in adjacent display regions to obtain crosstalk characteristics between different display regions; using a heuristic algorithm to search for an optimal region division scheme; dynamically adjusting the drive signal generation method for the corresponding display region; by comparing the brightness difference between boundary pixels and pixels in adjacent regions, obtaining boundary regions where display quality degrades due to transition problems; optimizing the region division granularity and drive frequency settings; using a multi-frequency linkage mode for analysis when the drive frequency of the display region changes; continuously monitoring the image changes in each display region and adjusting the region division and frequency configuration. The present invention can effectively improve display quality, reduce visual mutations, and realize intelligent drive control.

Description

Technical Field

[0001] The present invention relates to the field of display technology, and in particular to a patterned low-power display driving method based on multi-frequency linkage. Background Art

[0002] In existing technologies, not all areas need to refresh at the same frequency. Using a lower refresh rate in static areas can reduce power consumption. Therefore, zoned driving technology is used to divide the display panel into multiple independently driven areas, allowing each area to use a different refresh rate, thereby reducing power consumption. However, in scenarios where display panels are zoned, using differentiated drive frequencies can cause crosstalk between areas, which can affect display quality.

[0003] Specifically, when the driving frequencies of adjacent regions differ significantly, the pixel voltages at the region boundaries may be disrupted, resulting in uneven brightness and color distortion. This boundary effect may become more pronounced as the granularity of the region division increases. Furthermore, the asynchrony of the driving signals across multiple regions may also lead to issues such as screen tearing and ghosting. Therefore, in multi-frequency linkage mode, it is necessary to comprehensively consider factors such as region division strategies and drive timing optimization to balance display quality and energy consumption. Furthermore, it is necessary to dynamically adjust the region division and driving strategies based on different content scenarios and user needs to achieve intelligent display optimization. Summary of the Invention

[0004] To address the above-mentioned problems in the prior art, the present invention aims to provide a multi-frequency linkage-based, low-power display driving method. This method can effectively improve display quality, reduce visual abrupt changes, and achieve intelligent drive control.

[0005] The present invention provides a method for driving a display with low power consumption based on multi-frequency linkage, comprising the following steps:

[0006] S1. Partitioning the display panel into several display areas using a region recognition method, and setting differentiated driving frequency parameters for each of the display areas;

[0007] S2. Obtaining and analyzing voltage and current waveforms of pixels in adjacent display areas to obtain crosstalk characteristics between different display areas, and adjusting the display area division according to the crosstalk characteristics;

[0008] S3. Combine the complexity of the displayed content, the size of the region, and the regularity of the region shape, and use a heuristic algorithm to search for the optimal region division scheme;

[0009] S4. For each of the divided display areas, dynamically adjust a drive signal generation method corresponding to the display area according to characteristics of display content and drive frequency requirements;

[0010] S5. At the boundaries of the adjacent display areas, by comparing the brightness difference between the boundary pixels and the pixels in the adjacent areas, obtaining the boundary areas where the display quality is degraded due to the transition problem;

[0011] S6. Optimize the area division granularity and drive frequency settings based on simulation analysis and experimental testing, taking into account the panel material characteristics, pixel arrangement, and signal integrity factors;

[0012] S7. When the driving frequency of the display area changes, analyze the change in a multi-frequency linkage mode and dynamically adjust the driving frequency of each display area;

[0013] S8. Continuously monitor the image changes in each of the display areas, and adjust the area division and frequency configuration according to the analysis of the complexity change trend of the displayed content.

[0014] Preferably, the step S1 specifically includes:

[0015] A clustering algorithm is used to divide the grayscale distribution characteristics and regional edge transition data of the display panel into regions. The division results are filtered by the size of the regions to obtain the regional brightness data set and the regional boundary coordinate point set.

[0016] Extracting pixel grayscale distribution statistics and regional refresh rate data within the display area based on the regional brightness data set, and using a regional grayscale mapping function to quantify the grayscale distribution within the display area to obtain a regional driving parameter reference value;

[0017] Generate a driving frequency parameter range for each display area according to the regional driving parameter reference value and the regional refresh rate data, and calculate a regional driving timing sequence in combination with the regional boundary coordinate point set;

[0018] According to the regional driving timing sequence and the driving frequency parameter range, a linear interpolation method is used at the boundary of the display area to generate a transition parameter sequence, and the transition parameter sequence is corrected by a regional brightness balance compensation function.

[0019] Preferably, the step S2 specifically includes:

[0020] According to the boundary position of the display panel area, the voltage waveform and the current waveform of the pixel points adjacent to the display area are collected, and the pixel brightness error value and the crosstalk intensity value are obtained through spectrum analysis;

[0021] A pixel response characteristic calculator is used to process the correlation characteristics between the pixel brightness error value and the crosstalk intensity value, and a regional driving frequency difference value is calculated based on the adjacent region distance data;

[0022] Comparing the regional driving frequency difference value with a driving frequency difference threshold, and if the regional driving frequency difference value exceeds the driving frequency difference threshold, obtaining a set of boundary position coordinate points using a regional boundary iterative calculation method;

[0023] A region division scheme is generated according to the boundary position coordinate point set and the regional driving frequency difference value, and the driving frequency parameters of adjacent display regions are adjusted by a crosstalk compensation method.

[0024] Preferably, the step S3 specifically includes:

[0025] Calculating a regional complexity index according to display content density and image gradient intensity, and dividing the display area using a watershed algorithm to obtain a set of regional boundary points;

[0026] Performing polynomial curve fitting on the region boundary point set to obtain curve coefficients, calculating the region contour complexity value based on the curve coefficients, and obtaining the region shape feature vector;

[0027] Constructing a region division evaluation function based on the region shape feature vector and the display content similarity matrix, and iterating the region distribution parameters through an ant colony optimization algorithm to obtain multiple sets of region division parameters;

[0028] The region boundary gradient and the display content change rate are calculated for the plurality of groups of region division parameters, and the region boundary smoothness is compared with a preset threshold to screen out the optimal region division parameters.

[0029] Preferably, the step S4 specifically includes:

[0030] The display content includes signal amplitude, duty cycle and phase;

[0031] Calculating a regional drive load value according to the size of the display area and the brightness distribution of the display content, and processing the regional drive load value through a back propagation algorithm to obtain an initial drive level value and an initial drive timing value;

[0032] Performing waveform parameter calculation on the initial value of the driving level and the regional display motion speed, processing the waveform parameters through a timing response function, and obtaining a driving parameter sequence consisting of a driving signal amplitude value and a duty cycle value;

[0033] A multiple iteration method is used to process the driving parameter sequence, and a phase adjustment amount of adjacent driving signals is calculated according to the regional display power consumption index to obtain an optimized driving timing sequence;

[0034] A pixel driving voltage sequence and a driving current sequence are generated by using the optimized driving timing sequence, and time domain response compensation processing is performed on the driving voltage sequence and the driving current sequence to obtain a calibrated output level of the regional display pixel.

[0035] Preferably, the step S5 specifically includes:

[0036] The sliding window method is used to obtain the pixel brightness value at the boundary according to the boundary position coordinates, and the brightness difference value and brightness gradient value on both sides of the boundary are obtained through brightness calculation;

[0037] By comparing the brightness difference between the boundary pixels and the pixels in the adjacent area, the boundary area where the display quality is degraded due to the transition problem is obtained;

[0038] If the brightness difference value of the boundary area exceeds a preset brightness threshold, a brightness transition compensation method is used to construct a boundary brightness gradient function and a transition area width value for the boundary brightness value;

[0039] According to the boundary brightness gradient function and the transition area width value, the driving frequency increment at the boundary is calculated by the gradient descent method to obtain a transition driving frequency curve and a frequency compensation parameter;

[0040] The driving response calibration is performed on the transition driving frequency curve, and the driving frequency increment is adjusted in sections by a timing compensation method to obtain a driving frequency sequence with a smooth transition.

[0041] Preferably, the step S6 specifically includes:

[0042] Establishing a transfer characteristic matrix of the display area based on the panel material impedance value and pixel pitch data, using the transfer characteristic matrix and performing mapping calculation on the regional frequency coupling through a neural network algorithm to obtain simulation benchmark parameters;

[0043] Constructing a regional signal transmission model based on the simulation benchmark parameters, quantitatively evaluating the carrier interference of the regional signal transmission model using a frequency domain analysis method, and obtaining a regional signal feature vector;

[0044] constructing a regional boundary response function according to the regional signal feature vector, and optimizing the regional boundary response function by a genetic algorithm to obtain a set of regional division schemes;

[0045] A regional frequency modulation curve is generated for the regional division scheme set by a display frequency response calculator, and a frequency transition characteristic of the regional frequency modulation curve is dynamically compensated to obtain regional division parameters.

[0046] Preferably, the step S7 specifically includes:

[0047] Sampling and analyzing the regional coupling degree according to the frequency variation amplitude of the display area, and obtaining the regional interconnection function through recursive neural network calculation;

[0048] A wavelet transform method is used to extract regional display features from the regional interconnection function, and a frequency mapping model is established according to the display quality index to obtain a frequency adjustment curve;

[0049] Adopting the frequency adjustment curve to perform adaptive iterative calculation on the regional interference degree value, and processing the regional display response speed by a segmented optimization method to obtain a frequency modulation sequence;

[0050] The display brightness stability is calculated according to the frequency modulation sequence, and the regional frequency change limit is constrained by a frequency transition compensation method to obtain the final frequency control parameter.

[0051] Preferably, the step S8 specifically includes:

[0052] Establishing a time series feature matrix according to the image change speed of the display area, and processing the time series feature matrix using a long short-term memory network to obtain a display content change vector;

[0053] Performing regional load calculation on the display content change vector, and performing time domain mapping on the regional load data using a prediction time window function to obtain a regional division prediction value;

[0054] Using a convolutional neural network to process the region division prediction value, and generating a frequency adjustment sequence and a driving parameter update table according to the region boundary stability index;

[0055] A region boundary optimization operation is performed on the frequency adjustment sequence, and the region division scheme and the driving frequency configuration are updated through a timing compensation method.

[0056] The advantages of the multi-frequency linkage-based patterned low-power display driving method described in the present invention are:

[0057] The present invention provides a patterned low-power display driving method based on multi-frequency linkage. By dividing the display panel into regions and setting differentiated driving frequency parameters for each region, it can be precisely controlled according to the actual needs of the display content and the characteristics of each region. This differentiated driving method can effectively avoid unnecessary power waste, thereby reducing overall power consumption. By analyzing the voltage and current waveforms of pixels in adjacent display regions and comparing the brightness differences of boundary pixels, it can identify and adjust areas where display quality is reduced due to crosstalk and transition problems, which can significantly improve the uniformity and clarity of the display. The use of heuristic algorithms can comprehensively consider the complexity of the display content, The optimal region division scheme is searched for based on the region size and shape regularity, ensuring that display efficiency is maximized while meeting display requirements. The ability to dynamically adjust the drive signal generation method and drive frequency enables flexible adjustments based on the needs of different display content and scenarios. By combining panel material characteristics, pixel arrangement, and signal integrity factors, the region division granularity and drive frequency settings are optimized to enhance system stability and reliability. The system continuously monitors image changes in each display region and adjusts the region division and frequency configuration based on analysis of changing trends in the complexity of the displayed content, enabling continuous adaptation to new display requirements and technological developments. A patterned, low-power display drive method based on multi-frequency linkage can effectively improve display quality, reduce visual abrupt changes, and achieve intelligent drive control. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 This is a flow chart of a patterned low-power display driving method based on multi-frequency linkage described in the present invention. DETAILED DESCRIPTION

[0059] like Figure 1 As shown, the present invention provides a method for driving a display with low power consumption based on multi-frequency linkage, comprising the following steps:

[0060] S1. Partitioning the display panel using a region recognition method to obtain a plurality of display regions, and setting differentiated driving frequency parameters for each display region;

[0061] S2. Obtain and analyze voltage and current waveforms of pixels in adjacent display areas to obtain crosstalk characteristics between different display areas, and adjust the display area division according to the crosstalk characteristics;

[0062] S3. Combine the complexity of the displayed content, the size of the region, and the regularity of the region shape, and use a heuristic algorithm to search for the optimal region division scheme;

[0063] S4. For each divided display area, dynamically adjust the drive signal generation method for the corresponding display area according to the characteristics of the display content and the driving frequency requirements; dynamically adjust the drive signal generation method for the corresponding display area to optimize the display effect within the area;

[0064] S5. At the boundary of adjacent display areas, by comparing the brightness difference between the boundary pixels and the pixels in the adjacent areas, the boundary area where the display quality is degraded due to the presence of a transition problem is identified; if the brightness difference in the boundary area exceeds a preset threshold, a transition driving frequency is introduced in the boundary area to smooth the frequency jump at the boundary to reduce the visual abrupt change;

[0065] S6. Optimize the area division granularity and drive frequency settings based on simulation analysis and experimental testing, taking into account the panel material characteristics, pixel arrangement, and signal integrity factors. Specifically, analyze the area division method in the multi-frequency linkage mode based on simulation analysis and experimental testing, and optimize the area division granularity and drive frequency settings while meeting display quality requirements.

[0066] S7. When the driving frequency of the display area changes, a multi-frequency linkage mode is used for analysis, and the driving frequency of each display area is dynamically adjusted;

[0067] S8. Continuously monitor the image changes in each display area, and adjust the area division and frequency configuration based on the analysis of the complexity change trend of the displayed content. Specifically, continuously monitor the image changes in each display area, use a machine learning algorithm to analyze the complexity change trend of the displayed content, predict the driving frequency demand of each area in the future, and then adjust the area division and frequency configuration.

[0068] Furthermore, in this embodiment, step S1 specifically includes:

[0069] A clustering algorithm is used to divide the grayscale distribution characteristics and regional edge transition data of the display panel into regions. The division results are filtered by the size of the regions to obtain the regional brightness data set and the regional boundary coordinate point set.

[0070] According to the regional brightness data set, the pixel grayscale distribution statistics and regional refresh rate data in the display area are extracted, and the regional grayscale mapping function is used to quantify the grayscale distribution in the display area to obtain the regional driving parameter benchmark value;

[0071] Generate a driving frequency parameter range for each display area based on the regional driving parameter reference value and regional refresh rate data, and calculate a regional driving timing sequence in combination with the regional boundary coordinate point set;

[0072] According to the regional driving timing sequence and the driving frequency parameter range, a linear interpolation method is used at the display area boundary to generate a transition parameter sequence, and the transition parameter sequence is corrected by a regional brightness balance compensation function;

[0073] Specifically, a clustering algorithm is used to divide the display area according to the grayscale value distribution characteristics of the display panel and the regional edge transition data. The division results are filtered by the regional area size to obtain the regional brightness data set and the regional boundary coordinate point set;

[0074] Extract the pixel grayscale distribution statistics and regional refresh rate data within the display area from the regional brightness data set, use the regional grayscale mapping function to quantify the grayscale distribution within the display area, and obtain the regional driving parameter benchmark value;

[0075] The calculation formula is as follows:

[0076]

[0077] in, Indicates the regional driving parameter reference value, Respectively represent the preset grayscale mapping, refresh rate and grayscale distribution weight coefficient;

[0078] Generate the driving frequency parameter range of each display area based on the regional driving parameter reference value and regional refresh rate data, and calculate the regional driving timing sequence based on the regional boundary coordinate point set;

[0079] According to the regional driving timing sequence and the driving frequency parameter range, a linear interpolation method is used at the display area boundary to generate a transition parameter sequence, and the transition parameter sequence is corrected by a regional brightness balance compensation function;

[0080] Region identification and drive frequency control in display panels involve the combination of image processing and display drive technologies;

[0081] Here is an example:

[0082] In actual application scenarios, the regional characteristics of LCD panels will lead to significant differences in the responses of different areas to driving signals;

[0083] The region division based on the gray value distribution characteristics adopts the density clustering method, and the region boundary is determined by calculating the gray similarity between pixels;

[0084] When the cluster radius is set to 30 pixels, for a display panel with a resolution of 3840x2160, the display area can be divided into 25 sub-areas. The area of ​​each sub-area must be greater than 10,000 pixels. Areas smaller than this threshold will be merged into adjacent areas.

[0085] The complete area outline information can be obtained through the area boundary coordinate set. The regional grayscale distribution statistics adopt 256 grayscale levels, and the grayscale histogram statistics are performed on the pixels in each display area.

[0086] Regional refresh rate data is obtained through sampling, and the refresh rate range varies between 30Hz and 144Hz for different display content types;

[0087] The regional driving parameter reference value and the regional average grayscale value have a nonlinear corresponding relationship, and the grayscale value from 0 to 255 is mapped to the valid range of the driving frequency parameter through the grayscale mapping function;

[0088] The driving frequency parameter range is dynamically adjusted according to regional characteristics. Combined with the response characteristics of liquid crystal molecules, the driving frequency difference between adjacent display areas should not exceed 20Hz.

[0089] The driving timing sequence contains the timing relationship of the driving signals of each display area to ensure the synchronization of the display between areas;

[0090] The driving parameters at the region boundary need to transition smoothly, and a 32-point linear interpolation scheme is used to generate a transition sequence on both sides of the boundary;

[0091] The regional brightness equalization compensation function is designed based on the human eye visual characteristic curve. A compensation factor is introduced in the transition area. The compensation range covers 64 pixels on both sides of the boundary. The compensation intensity gradually decreases with the distance from the boundary.

[0092] Brightness compensation can effectively eliminate the brightness jump phenomenon at the area boundary, making the display more visually continuous and natural;

[0093] After compensation and correction, the driving parameter sequence in the boundary transition area can maintain the uniformity of display brightness while avoiding display delay;

[0094] For dynamic content, by adjusting the response characteristics of the compensation function, we can adapt to the display requirements of different motion scenes. In specific display scenarios, such as video playback, the bright and dark areas in the picture will form natural display partitions.

[0095] By applying differentiated drive frequency control to these areas, display power consumption can be optimized while maintaining display quality;

[0096] For text display scenarios, the region recognition method processes the text area and background area separately and uses a higher driving frequency for the text area to improve text clarity.

[0097] Furthermore, in this embodiment, step S2 specifically includes:

[0098] According to the boundary position of the display panel area, the voltage waveform and current waveform of the pixel points of the adjacent display area are collected, and the pixel brightness error value and crosstalk intensity value are obtained through spectrum analysis;

[0099] A pixel response characteristic calculator is used to process the correlation characteristics between the pixel brightness error value and the crosstalk intensity value, and the regional driving frequency difference value is calculated based on the distance data of adjacent regions;

[0100] The regional driving frequency difference value is compared with the driving frequency difference threshold. If the regional driving frequency difference value exceeds the driving frequency difference threshold, the regional boundary iterative calculation method is used to obtain the boundary position coordinate point set;

[0101] Generate a region division scheme based on the boundary position coordinate point set and the regional driving frequency difference value, and adjust the driving frequency parameters of adjacent display areas through the crosstalk compensation method;

[0102] Specifically, according to the boundary position of the display panel area, the voltage waveform and current waveform of the pixel points in the adjacent display area are collected, and the spectrum analysis of the collected waveforms is performed to obtain the pixel brightness error value and the crosstalk intensity value;

[0103] A pixel response characteristic calculator is used to process the correlation characteristics between the pixel brightness error value and the crosstalk intensity value, and the regional driving frequency difference value and the driving frequency difference threshold are calculated based on the distance data of adjacent regions.

[0104] The regional driving frequency difference value is compared with the driving frequency difference threshold. If the driving frequency difference value exceeds the threshold range, the regional boundary position coordinate point set is replanned using the regional boundary iterative calculation method;

[0105] Generate a new area division scheme based on the boundary position coordinate point set and the regional driving frequency difference value, and dynamically adjust the driving frequency parameters of adjacent display areas through the crosstalk compensation method;

[0106] Analysis of display panel crosstalk characteristics involves voltage and current waveform measurements and pixel brightness error evaluation;

[0107] Here is an example:

[0108] In the actual display process, there is electromagnetic coupling between pixels in adjacent areas, which causes crosstalk in the driving signals.

[0109] The voltage waveform is measured using a high-speed sampling method with a sampling rate set to 32 times the drive frequency. The voltage changes of adjacent pixels during the drive signal switching process are recorded. For a 60Hz drive frequency, the sampling interval is approximately 0.5 microseconds.

[0110] Current waveform acquisition is achieved by connecting a sampling resistor in series with the pixel drive circuit. The sampling resistor value is selected to be 1 ohm to avoid affecting the normal drive current.

[0111] The spectrum analysis results show that the crosstalk signal is mainly distributed in the sidebands of the driving frequency, forming sideband components with different attenuation amplitudes on both sides of the fundamental frequency;

[0112] When the driving frequency difference between adjacent regions is 10Hz, the amplitude of the sideband component is approximately 5% of the fundamental frequency component. The pixel brightness error is calculated by measuring the voltage deviation caused by waveform distortion. A voltage deviation exceeding 0.2V will cause significant brightness error.

[0113] The pixel response characteristics show a nonlinear relationship with the crosstalk intensity. The response time increases with the increase of crosstalk intensity. By establishing a response characteristic curve, the pixel response changes under different crosstalk intensities can be predicted.

[0114] The distance between adjacent areas has a significant impact on the crosstalk intensity. When the pixel pitch increases to 128 microns, the crosstalk intensity decays to less than 10% of the initial value.

[0115] The determination of the driving frequency difference threshold needs to be combined with the human eye's sensitivity to display flicker. For a 60Hz base frequency, the frequency difference between adjacent areas should not exceed 15Hz.

[0116] The boundary iterative calculation adopts the gradient descent method. The boundary position is adjusted in each iteration to minimize the crosstalk intensity. The number of iterations is limited to 16 times.

[0117] In the new area division scheme, the spacing between boundary coordinate points is maintained between 64 microns and 256 microns to avoid overly dense or sparse boundary distribution;

[0118] The dynamic adjustment range of the drive frequency parameters is limited to within plus or minus 20% of the base frequency, and the adjustment step does not exceed 2Hz to ensure the stability of the display.

[0119] In practical applications, taking video display as an example, the driving frequencies of the moving object area and the static background area in the picture are quite different;

[0120] Through the crosstalk compensation method, the driving frequency parameters are gradually changed in the edge area of ​​the moving object to make the display effect more natural;

[0121] In high-contrast scenes, crosstalk between adjacent bright and dark areas is more pronounced. Therefore, the selection of boundary positions is particularly important. Setting boundaries in the brightness transition area can achieve better display effects.

[0122] Crosstalk compensation also needs to consider the impact of temperature changes on display device characteristics. When the temperature rises, the pixel response slows down and the crosstalk phenomenon worsens.

[0123] By monitoring the temperature of the drive circuit in real time and adjusting the compensation parameters accordingly, stable display performance can be maintained. The adjustment of the compensation parameters is achieved using a lookup table, and the parameters are updated every 5 degrees of temperature change.

[0124] Furthermore, in this embodiment, step S3 specifically includes:

[0125] The regional complexity index is calculated based on the display content density and image gradient intensity, and the display area is divided using the watershed algorithm to obtain the regional boundary point set;

[0126] Perform polynomial curve fitting on the region boundary point set to obtain curve coefficients, calculate the region contour complexity value based on the curve coefficients, and obtain the region shape feature vector;

[0127] A regional division evaluation function is constructed based on the regional shape feature vector and the display content similarity matrix, and multiple sets of regional division parameters are obtained by iterative calculation of regional distribution parameters through ant colony optimization algorithm.

[0128] Calculate the region boundary gradient and display content change rate for multiple sets of region division parameters, compare the region boundary smoothness with the preset threshold, and screen out the optimal region division parameters;

[0129] Specifically, the regional complexity index is calculated according to the display content density and image gradient intensity, and the display area is preliminarily divided using the watershed algorithm to generate the regional boundary point set and regional area data;

[0130] Perform polynomial curve fitting on the region boundary point set, calculate the region contour complexity value through the curve coefficient, and generate the region shape feature vector based on the region area data;

[0131] A regional division evaluation function is constructed based on the regional shape feature vector and the display content similarity matrix, and multiple sets of regional division parameters are obtained by iteratively calculating the regional distribution parameters using the ant colony optimization algorithm.

[0132] For multiple sets of regional division parameters, the smoothness of the regional boundary is calculated by the regional boundary gradient and the display content change rate, and the number of regional divisions is compared with the preset threshold to obtain the optimal regional division parameters;

[0133] Intelligent division of the display area involves display content feature analysis and area shape optimization. Display content density reflects the severity of pixel value changes in the image and is obtained by calculating the cumulative value of pixel gradients in the local area.

[0134] Here is an example:

[0135] For a display panel with a resolution of 1920x1080, the display area is divided into 16x16 local blocks, and the average gradient value of each block is calculated as the content density indicator;

[0136] The image gradient intensity characterizes the edge features of the displayed content, and the Sobel operator is used to calculate the gradient values ​​in the horizontal and vertical directions;

[0137] When the gradient value exceeds the set threshold of 64, it is determined to be a valid edge point. The watershed algorithm uses the gradient map as input and realizes regional segmentation by simulating the water level rise process. The initial water level is set to 50% of the gradient mean;

[0138] The regional boundary point set is fitted using a cubic spline curve. The control point interval of the curve does not exceed 32 pixels. The curve coefficient reflects the curvature variation characteristics of the boundary. A larger curvature value indicates a more complex boundary shape.

[0139] The complexity of the regional contour is obtained by calculating the normalized perimeter to area ratio. The larger the value, the more irregular the regional shape.

[0140] The region shape feature vector contains information in multiple dimensions, including area, perimeter, and complexity. The display content similarity between adjacent display regions is obtained by calculating the histogram distance of the pixel values ​​within the region. The smaller the distance, the more similar the content.

[0141] The evaluation function comprehensively considers shape regularity and content consistency, assigning different weights to different features;

[0142] The ant colony optimization algorithm searches for the optimal solution through multiple iterations, each iteration involves 128 candidate solutions, and the pheromone concentration decays with the number of iterations, with the decay coefficient set to 0.95;

[0143] Regional distribution parameters include the location of the regional center, the regional area range and the boundary curvature limit. These regional distribution parameters together determine the specific plan of regional division;

[0144] The region boundary gradient reflects the degree of change in the displayed content at the boundary. It is obtained by calculating the average gradient value within the range of 8 pixels on both sides of the boundary. The display content change rate describes the temporal characteristics of the regional content. For video content, it is calculated based on the difference between consecutive frames.

[0145] Boundary smoothness requires that the gradient value change between adjacent pixels does not exceed a threshold of 16. In practical applications, such as video playback, areas with intense motion often have a high content change rate, requiring a smaller area to accurately capture motion features.

[0146] In text display scenarios, region boundaries should avoid crossing text, and the integrity of text can be protected by increasing the boundary gradient weight;

[0147] For graphical interfaces, the boundaries of regular-shaped areas such as menus and icons should be aligned with the boundaries of UI elements to improve visual coordination of area divisions;

[0148] The selection of preset thresholds requires a balance between the fineness of division and computational overhead, limiting the number of regions to between 16 and 64. Too many regions will increase the complexity of driver control, while too few regions may not be able to adapt to the spatial variation characteristics of the displayed content. The optimal region division parameters should minimize the number of regions while meeting the display quality requirements.

[0149] Furthermore, in this embodiment, step S4 specifically includes:

[0150] Display content includes signal amplitude, duty cycle and phase;

[0151] According to the size of the display area and the brightness distribution of the displayed content, the regional drive load value is calculated, and the regional drive load value is processed by the back propagation algorithm to obtain the initial value of the drive level and the initial value of the drive timing;

[0152] Performing waveform parameter calculation on the initial value of the driving level and the regional display motion speed, processing the waveform parameters through the timing response function, and obtaining a driving parameter sequence consisting of the driving signal amplitude value and the duty cycle value;

[0153] A multiple iteration method is used to process the driving parameter sequence, and a phase adjustment amount of adjacent driving signals is calculated according to the regional display power consumption index to obtain an optimized driving timing sequence;

[0154] Generate pixel driving voltage sequence and driving current sequence through optimized driving timing sequence, perform time domain response compensation processing on the driving voltage sequence and driving current sequence, and obtain calibrated output level of regional display pixels;

[0155] Specifically, the regional drive load value is calculated according to the display area size and the display content brightness distribution, and the regional display refresh frequency is dynamically calculated using the back propagation algorithm to obtain the initial value of the drive level and the initial value of the drive timing;

[0156] Calculate the driving waveform parameters based on the initial value of the driving level and the regional display movement speed, and generate a driving parameter sequence consisting of the driving signal amplitude value and the duty cycle value through the timing response function;

[0157] A multiple iteration method is used to process the driving parameter sequence, and the phase adjustment amount of adjacent driving signals is calculated according to the regional display power consumption index to obtain the optimized driving timing sequence;

[0158] Generate pixel driving voltage sequence and driving current sequence according to the driving timing sequence, and calibrate the output voltage of the display pixels in the area through the time domain response compensation function to obtain the final driving parameters;

[0159] The output voltage is calculated as follows:

[0160]

[0161] in, Indicates the output voltage, represents the time domain response compensation function, Indicates the input voltage, represents the driving current, represents the compensation coefficient;

[0162] Adaptive optimization of regional drive signals involves display load calculation and timing parameter adjustment. The display area size and content brightness directly affect the regional drive load.

[0163] Here is an example:

[0164] Taking a 4K display panel as an example, the area of ​​a single region varies between 120,000 pixels and 500,000 pixels, and the average brightness ranges from 0 to 255;

[0165] The regional drive load value is obtained by weighted calculation of the number of pixels and the average brightness. When the display brightness exceeds 200, the drive load increases nonlinearly;

[0166] The back-propagation algorithm adjusts the display refresh rate based on the drive load value. For high-load areas, the refresh rate is reduced from the standard 60Hz to 45Hz. The drive level is initially set in the range of 4.5V to 5.5V.

[0167] The displayed motion speed is calculated by inter-frame pixel displacement. The motion speed of a static image is 0, and the speed value of a violent motion scene can reach 25% of the screen width.

[0168] The timing response function dynamically adjusts the drive waveform according to the movement speed, shortening the signal rise time to less than 2 microseconds during rapid movement while increasing the duty cycle to over 85%. The drive parameter sequence contains waveform sampling values ​​at 32 time points, with adjacent sampling points separated by 0.5 microseconds.

[0169] During the multi-iterative optimization process, the step size of the phase value in each iteration does not exceed 5 degrees, and the total number of iterations is limited to 8 rounds;

[0170] The regional display power consumption index is calculated by multiplying the drive current and the operating voltage. When the power consumption exceeds the standard, it is compensated by reducing the duty cycle.

[0171] Time domain response compensation takes into account the physical response characteristics of liquid crystal molecules. For different grayscale transitions, the compensation function provides different overshoots.

[0172] When transitioning from grayscale 0 to grayscale 255, the overshoot reaches 15% of the target voltage. The adjustment step of the driving voltage sequence is 0.05 volts, and the driving current sequence is mapped according to the pixel load characteristics;

[0173] In video display applications, the display parameters of the motion area are significantly different from those of the static area. The motion area uses a shorter response time and higher drive strength, while the static area uses a lower drive frequency and power consumption.

[0174] For gaming screens, rapidly changing UI elements require higher refresh rates and drive levels, while background areas can use lower drive parameters. The spatial and temporal characteristics of the displayed content directly influence the optimization direction of the drive signal.

[0175] High-contrast scenes require larger drive swings, while text display areas require higher signal stability. During dynamic adjustment of drive parameters, parameter changes between adjacent frames need to transition smoothly to avoid flickering and tearing.

[0176] Temperature changes have a significant impact on the characteristics of display devices. When the temperature rises, the liquid crystal response speeds up and the driving voltage threshold decreases.

[0177] By monitoring temperature changes in real time, the drive parameters are compensated and adjusted to maintain a stable display effect at different temperatures. The compensation parameters are updated every 5 degrees as the temperature changes, covering an operating temperature range of 0 to 50 degrees.

[0178] Furthermore, in this embodiment, step S5 specifically includes:

[0179] The sliding window method is used to obtain the pixel brightness value at the boundary according to the boundary position coordinates, and the brightness difference value and brightness gradient value on both sides of the boundary are obtained through brightness calculation;

[0180] By comparing the brightness difference between the boundary pixels and the pixels in the adjacent area, the boundary area where the display quality is degraded due to the transition problem is obtained;

[0181] If the brightness difference value of the boundary area exceeds the preset brightness threshold, the brightness transition compensation method is used to construct a boundary brightness gradient function and a transition area width value for the boundary brightness value;

[0182] According to the boundary brightness gradient function and the transition area width value, the driving frequency increment at the boundary is calculated by the gradient descent method to obtain a transition driving frequency curve and a frequency compensation parameter;

[0183] The driving response of the transition driving frequency curve is calibrated, and the driving frequency increment is adjusted in sections by using the timing compensation method to obtain a driving frequency sequence with smooth transition;

[0184] Specifically, the pixel brightness values ​​at the boundaries of adjacent display areas are collected according to the boundary position coordinates, and the brightness difference value and brightness gradient value of the pixel points on both sides of the boundary are calculated using a sliding window method;

[0185] By comparing the brightness difference between the boundary pixels and the pixels in the adjacent area, the boundary area where the display quality is degraded due to the transition problem is obtained;

[0186] Compare the brightness difference value of the boundary area with the preset brightness threshold. If the brightness difference value of the boundary area exceeds the preset threshold, construct a boundary brightness gradient function and a transition area width value through a brightness transition compensation method.

[0187] The driving frequency increment at the boundary is calculated using the gradient descent method according to the boundary brightness gradient function and the transition area width value, and a transition driving frequency curve and frequency compensation parameters are generated;

[0188] The driving response calibration is performed on the transition driving frequency curve, and the driving frequency increment is segmentedly adjusted by the timing compensation method to obtain a driving frequency sequence with smooth transition;

[0189] The brightness transition processing at the display area boundary involves pixel brightness detection and drive frequency adjustment;

[0190] Here is an example:

[0191] The brightness difference at the boundary is obtained by sliding window sampling, the window width is set to 32 pixels, and the sliding step size is 4 pixels each time;

[0192] For adjacent display areas, the sampling window spans 16 pixels on both sides of the boundary, and the brightness value of each pixel is recorded;

[0193] The brightness gradient value reflects the intensity of the brightness change at the boundary and is obtained by calculating the brightness difference between adjacent pixels;

[0194] When the gradient value exceeds the set threshold of 20, it indicates that there is a significant brightness mutation at the boundary. The brightness difference value is calculated by comparing the average brightness of the pixels on both sides of the boundary. When the difference exceeds the brightness threshold of 32, the transition compensation process is triggered;

[0195] Brightness transition compensation uses a nonlinear mapping method to construct a gradient area at the boundary. The width of the transition area is dynamically adjusted according to the brightness difference value. The larger the difference value, the wider the transition area. The typical value is between 16 and 48 pixels.

[0196] The brightness gradient function uses the cosine curve characteristics to ensure the continuity of brightness changes. The brightness gradient function at the boundary is as follows:

[0197]

[0198] in, represents the brightness gradient function at the boundary, represents the width of the transition area, Represents the boundary position coordinates:

[0199] The driving frequency increment is obtained through iterative calculation. The initial increment value is set to 1 / 8 of the frequency difference between adjacent regions. The calculation formula for the initial frequency increment is as follows:

[0200]

[0201] in, represents the initial frequency increment, and represent the driving frequencies of adjacent regions respectively;

[0202] During the gradient descent process, the step coefficient of each iteration is 0.85. The iteration termination condition is that the frequency increment is less than 1 Hz or the maximum number of iterations is 16. The frequency increment calculation formula is as follows:

[0203]

[0204] in, Indicates the The frequency increment of the iteration, represents the learning rate, 0.85 is the step attenuation coefficient, represents the gradient of the error function;

[0205] The transition drive frequency curve is symmetrically distributed on both sides of the boundary to ensure the smoothness of the display transition. The frequency compensation parameters take into account the response characteristics of the liquid crystal. For frequency jumps of different sizes, the compensation parameter values ​​are different.

[0206] When the frequency jump exceeds 20Hz, the compensation parameter increases to 1.5 times the nominal value to ensure that the liquid crystal molecules respond to the frequency change;

[0207] During the drive response calibration process, the frequency curve is linearized in segments, with each segment length not exceeding 8 pixels.

[0208] In actual display scenarios, the edges of fast-moving objects are prone to brightness jumps during video playback. By increasing the number of drive frequency sampling points in the transition area, the frequency changes are more subtle, reducing display artifacts at the edge. In high-contrast scenes, the brightness difference on both sides of the edge is large, so the frequency adjustment in the transition area requires a larger compensation amount.

[0209] The timing compensation method dynamically adjusts the frequency sequence according to the temporal characteristics of the displayed content. For static images, a slower frequency change rate is used, while for moving images, the frequency change rate is increased to adapt to the image update;

[0210] The adjustment interval of the driving frequency sequence changes with the display content. The adjustment interval for static content is 8 frames, and is shortened to 4 frames for motion content.

[0211] The transition effect is also closely related to the physical properties of the display panel. Temperature changes will affect the response speed of the liquid crystal. When the temperature rises, the liquid crystal response speeds up, and the frequency compensation parameters need to be reduced accordingly.

[0212] The panel temperature is monitored in real time through a temperature sensor. When the temperature changes by more than 5 degrees, the compensation parameters are updated to ensure a stable transition effect at different temperatures.

[0213] Furthermore, in this embodiment, step S6 specifically includes:

[0214] The transmission characteristic matrix of the display area is established based on the panel material impedance value and pixel pitch data. The transmission characteristic matrix is ​​used to map and calculate the regional frequency coupling through a neural network algorithm to obtain the simulation benchmark parameters.

[0215] A regional signal transmission model is constructed based on the simulation benchmark parameters. The carrier interference degree of the regional signal transmission model is quantitatively evaluated using the frequency domain analysis method to obtain the regional signal feature vector.

[0216] The regional boundary response function is constructed according to the regional signal characteristic vector, and the regional boundary response function is optimized by genetic algorithm to obtain the regional division scheme set;

[0217] Generate a regional frequency modulation curve for the regional division scheme set by displaying the frequency response calculator, and dynamically compensate the frequency transition characteristics of the regional frequency modulation curve to obtain regional division parameters;

[0218] Specifically, a display area transmission characteristic matrix is ​​established based on the panel material impedance value and pixel pitch data, and a neural network algorithm is used to map and calculate the regional frequency coupling degree and signal integrity index to obtain simulation benchmark parameters;

[0219] A regional signal transmission model is constructed based on the simulation benchmark parameters and pixel layout data. The carrier interference and transmission loss are quantitatively evaluated using frequency domain analysis methods to obtain the regional signal feature vector.

[0220] The regional boundary response function is constructed based on the regional signal characteristic vector and the material response speed, and the correlation characteristics between the regional division size and the signal transmission delay are optimized by genetic algorithm to obtain the regional division scheme set;

[0221] The regional division scheme set is generated by displaying the frequency response calculator to generate the regional frequency modulation curve, and the frequency transition characteristics at the regional boundaries are dynamically compensated to obtain the final regional division parameters. The regional division optimization involves a comprehensive analysis of the panel material properties and signal transmission characteristics.

[0222] Here is an example:

[0223] The impedance value of the panel material shows nonlinear characteristics with temperature and frequency. At room temperature, the typical impedance value is 75 ohms. For every 10 degrees increase in temperature, the impedance value decreases by about 5%.

[0224] Pixel pitch is closely related to signal transmission characteristics. For 4K resolution panels, the pixel pitch is usually around 100 microns.

[0225] The display area transmission characteristic matrix contains information on multiple dimensions such as signal attenuation, crosstalk, and delay. The neural network algorithm adopts a three-layer structure with 16 input layer nodes, 32 hidden layer nodes, and 8 output layer nodes to establish the mapping relationship between regional characteristics and frequency coupling;

[0226] Frequency coupling describes the degree of signal mutual influence between adjacent areas. When the coupling exceeds 0.3, the display quality will be degraded.

[0227] The regional signal transmission model takes into account the influence of pixel layout. For the RGB stripe arrangement, carrier interference mainly comes from crosstalk between adjacent pixels. The interference increases with frequency and reaches a peak at 120Hz.

[0228] The transmission loss is proportional to the transmission distance. The signal loses about 0.5dB for every 1000 microns it transmits. Frequency domain analysis uses a 512-point fast Fourier transform, and the analysis frequency range covers 20Hz to 200Hz.

[0229] There is an optimal matching range between the material response speed and the driving frequency. The typical response time of liquid crystal materials is 5 milliseconds. The response speed increases with increasing temperature, and the response time decreases by about 10% for every 5 degrees increase in temperature. The regional boundary response function adopts Gaussian curve characteristics to ensure smooth frequency changes at the boundary.

[0230] The population size of the genetic algorithm is set to 128, the evolutionary generations to 32, and the crossover probability to 0.8. The evaluation of the area division scheme takes into account multiple performance indicators. The signal transmission delay increases with the transmission distance, and the typical value is 0.1 microsecond per centimeter;

[0231] The frequency transition characteristic requires that the frequency difference between adjacent areas does not exceed 30Hz, and the width of the transition area is not less than 16 pixels;

[0232] Motion compensation is implemented using a lookup table, and the compensation amount is dynamically adjusted with temperature and frequency differences. In video display applications, the division between motion and static areas is particularly important. The material response speed in the motion area is required to be higher, and the drive frequency is set to above 90Hz. A lower drive frequency can be used in the static area, typically 60Hz. The frequency transition at the area boundary uses a cosine function characteristic to ensure the continuity of display brightness.

[0233] Temperature changes have a significant impact on regional division. At low temperatures, the material response slows down, and the regional division size needs to be appropriately increased, with a typical value increasing from 1000 pixels to 1500 pixels.

[0234] At high temperatures, material impedance decreases, signal transmission delay decreases, and regional division can be more refined. Carrier interference also increases at high temperatures and needs to be suppressed by adjusting the rising and falling edges of the drive signal.

[0235] Signal integrity decays exponentially with transmission distance, and when the transmission distance exceeds 2000 pixels, signal integrity decreases significantly;

[0236] By increasing the signal drive strength and optimizing the transmission channel wiring, the area division size can be expanded while ensuring signal quality;

[0237] For high-resolution display panels, impedance matching of the signal transmission channel is particularly critical. A mismatch exceeding 15% will cause significant signal reflection.

[0238] Furthermore, in this embodiment, step S7 specifically includes:

[0239] The regional coupling degree is sampled and analyzed according to the frequency variation amplitude of the display area, and the regional interconnection function is calculated through recursive neural network;

[0240] The wavelet transform method is used to extract the regional display characteristics of the regional interconnection function, and the frequency mapping model is established according to the display quality index to obtain the frequency adjustment curve;

[0241] The frequency adjustment curve is used to perform adaptive iterative calculation on the regional interference degree value, and the frequency modulation sequence is obtained by processing the regional display response speed through the segmented optimization method;

[0242] The display brightness stability is calculated based on the frequency modulation sequence, and the regional frequency change limit is constrained by the frequency transition compensation method to obtain the final frequency control parameters;

[0243] Specifically, a frequency impact model is constructed based on the frequency variation amplitude and regional coupling degree of the display area. A recursive neural network is used to calculate the crosstalk intensity and the impact propagation range between regions to obtain the regional interconnection function.

[0244] A regional frequency mapping relationship is established between the regional interconnection function and the display quality index, and the regional display characteristics and frequency response data are extracted by wavelet transform method to obtain the frequency adjustment curve;

[0245] According to the frequency adjustment curve and the regional interference degree value, an adaptive iterative method is used to optimize the regional display response speed and frequency variation in sections to obtain a frequency modulation sequence;

[0246] Evaluate the display brightness stability of the frequency modulation sequence, use the frequency transition compensation method to constrain the regional frequency change limit in real time to obtain the final frequency control parameters, and analyze the dynamic impact of multiple regions involved in the display regional frequency linkage;

[0247] Here is an example:

[0248] The frequency variation reflects the degree of change in the regional driving parameters. For a 60Hz base frequency, the typical variation is within the range of plus or minus 15Hz.

[0249] Regional coupling represents the signal interference strength between adjacent regions, and the coupling coefficient usually varies between 0.1 and 0.4;

[0250] A recursive neural network is used to capture the dynamic influence relationship between regions. The network contains 8 time steps, each step corresponds to a display frame period;

[0251] The crosstalk intensity decays exponentially with increasing distance between areas. The typical crosstalk intensity between adjacent areas is 20%, which decreases to 5% between each area. The affected propagation range usually covers 2 to 3 surrounding areas.

[0252] Wavelet transform uses a three-layer decomposition structure to extract display features at different frequency scales. Display quality indicators include brightness uniformity, response time, and crosstalk suppression ratio parameters. Frequency response data records the sensitivity of regional display parameters to frequency changes. The response delay usually does not exceed 2 frame periods.

[0253] The degree of regional interference is obtained by measuring the signal coupling at the boundary. When the frequency difference reaches 20Hz, the interference level increases significantly, and the display brightness fluctuation at the boundary can reach 10%;

[0254] The adaptive iterative optimization adopts a variable step size method, with the initial step size set at 5 Hz and gradually reduced to 1 Hz as the optimization progresses;

[0255] The frequency modulation sequence contains driving parameters at 32 sampling points with a sampling interval of 4 milliseconds. The display brightness stability evaluation is based on the brightness change rate of 8 consecutive frames. Fluctuations exceeding 5% trigger compensation processing.

[0256] Frequency transition compensation introduces a gradual transition band in the boundary area, and the bandwidth is dynamically adjusted according to the frequency difference. In video playback scenarios, the frequency of the moving area is usually set between 90Hz and 120Hz, and the static area is maintained at 60Hz;

[0257] When a moving object crosses a zone boundary, the frequencies of adjacent zones need to change in coordination. The faster the movement, the larger the frequency linkage range, typically covering 3 to 4 zones in the direction of movement.

[0258] Temperature changes affect the response characteristics of display devices. For every 10-degree increase in temperature, the device response speed increases by about 20%, and the frequency adjustment step size needs to be adjusted accordingly. At low temperatures, the frequency change is more gradual, and the transition region width increases to 1.5 times the nominal value.

[0259] The region size is closely related to the frequency linkage effect. Larger regions with side lengths exceeding 1000 pixels have better frequency stability but reduce the accuracy of local optimization. Smaller regions with side lengths less than 500 pixels can achieve finer frequency control but increase linkage complexity.

[0260] Signal crosstalk is more significant at high frequencies. At a 120Hz drive frequency, crosstalk intensity is approximately 40% higher than at 60Hz. By increasing the area interval bandwidth and optimizing the rise and fall times of the drive waveform, good display quality can be maintained at high frequencies.

[0261] Frequency limit control ensures that the frequency difference between adjacent areas does not exceed a preset threshold, avoiding noticeable display artifacts.

[0262] Furthermore, in this embodiment, step S8 specifically includes:

[0263] Establishing a time series feature matrix according to the speed of picture changes in the display area, and processing the time series feature matrix using a long short-term memory network to obtain a display content change vector;

[0264] Calculate the regional load of the display content change vector, and use the prediction time window function to perform time domain mapping on the regional load data to obtain the regional division prediction value;

[0265] A convolutional neural network is used to process the predicted values ​​of regional divisions, and a frequency adjustment sequence and a driving parameter update table are generated based on the regional boundary stability index;

[0266] Performing region boundary optimization on the frequency adjustment sequence and updating the region division scheme and driving frequency configuration through timing compensation method;

[0267] Specifically, a temporal feature matrix is ​​established based on the image change speed and content complexity of the display area, and a long short-term memory network is used to predict and analyze the regional display update frequency and image motion intensity to obtain the display content change vector;

[0268] The regional load index is calculated based on the display content change vector and regional dynamic range data, and the regional division parameters are mapped into the time domain through the prediction time window function to obtain the regional division prediction value;

[0269] A convolutional neural network is used to process the predicted values ​​of regional divisions, and a frequency adjustment sequence and a driving parameter update table are generated according to the regional boundary stability index and the displayed load size;

[0270] Perform regional boundary optimization calculations on the frequency adjustment sequence and drive parameter update table, and update the regional division scheme and drive frequency configuration in real time through the timing compensation method;

[0271] Here is an example:

[0272] Dynamic prediction of display content involves image feature analysis and load assessment. The image change rate is calculated by calculating the pixel difference between consecutive frames. For video content, the typical frame change rate is between 5% and 30%.

[0273] The content complexity is calculated based on the image entropy value. The entropy value of high-complexity areas usually exceeds 6 bits. The temporal feature matrix is ​​constructed using a sliding window method with a window length of 32 frames and a step size of 8 frames.

[0274] The long short-term memory network consists of two hidden layers, each with 128 neurons, to capture the temporal variation characteristics of the displayed content;

[0275] The intensity of the screen motion is calculated using an optical flow algorithm, and fast motion is determined when the motion speed exceeds 10% of the screen width;

[0276] The prediction time window uses an exponential weighting method, with the weight coefficient of recent data being 0.8 and decreasing for long-term data. The regional load index comprehensively considers the display content change rate, motion intensity, and complexity. When the load exceeds the threshold, the region is re-divided.

[0277] The prediction time window covers the display content of the next 16 to 32 frames, and the region division prediction value reflects the region division requirements of the future display content;

[0278] The convolutional neural network adopts a 5-layer structure, including 3 convolutional layers and 2 fully connected layers, which is used to extract regional features and predict regional boundary changes. The boundary stability index is obtained by calculating the variance of the boundary position in multiple consecutive frames;

[0279] In game display scenes, the changes in screen content have obvious scene relevance. The screen changes in battle scenes are drastic and the content is highly complex, requiring smaller area divisions and higher driving frequencies.

[0280] Dialogue scenes are relatively static, so larger area divisions can be used to reduce processing load. The frequency adjustment sequence is dynamically updated as the scene changes, with the change step limited to within 5Hz.

[0281] The drive parameter update table contains the frequency, phase and duty cycle parameters of each area. The parameter update adopts a smooth transition method to avoid display defects caused by sudden changes.

[0282] The timing compensation method adjusts the driving parameters in advance based on the predicted content changes to compensate for the parameter transmission delay and device response delay;

[0283] Temperature changes have a significant impact on the response characteristics of display devices. When the temperature rises, the device responds faster and the driving parameters need to be adjusted accordingly. The compensation parameters are updated every 5 degrees of temperature change, covering the operating temperature range of 0 to 50 degrees.

[0284] During the region boundary optimization process, the effect of temperature on display uniformity is taken into account, and the spatial characteristics of the display content also affect the region division strategy;

[0285] The text display area requires higher boundary stability, while the video playback area requires more flexible boundary adjustment;

[0286] Boundary updates adopt a progressive strategy, with the number of boundary points adjusted each time not exceeding 20% ​​of the total boundary points. During real-time updates, priority is given to maintaining the display quality of high-contrast areas, and display defects at the boundaries are reduced by adjusting the driving frequency and phase parameters.

[0287] In the description of the present invention, it should be understood that the directions or positional relationships indicated by directional words such as "front, back, up, down, left, right", "horizontal, vertical, horizontal" and "top, bottom" are usually based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description. Unless otherwise specified, these directional words do not indicate or imply that the device or element referred to must have a specific direction or be constructed and operated in a specific direction. Therefore, they cannot be understood as limiting the scope of protection of the present invention.

[0288] Those skilled in the art can make various other corresponding changes and deformations based on the technical solutions and concepts described above, and all of these changes and deformations should fall within the scope of protection of the claims of the present invention.

Claims

1. A low-power display driving method based on multi-frequency linkage, characterized in that: The following steps are involved: S1. Partitioning the display panel into several display areas using a region recognition method, and setting differentiated driving frequency parameters for each of the display areas; S2. Obtaining and analyzing voltage and current waveforms of pixels in adjacent display areas to obtain crosstalk characteristics between different display areas, and adjusting the display area division according to the crosstalk characteristics; S3. Combine the complexity of the displayed content, the size of the region, and the regularity of the region shape, and use a heuristic algorithm to search for the optimal region division scheme; S4. For each of the divided display areas, dynamically adjust a drive signal generation method corresponding to the display area according to characteristics of display content and drive frequency requirements; S5. At the boundaries of the adjacent display areas, by comparing the brightness difference between the boundary pixels and the pixels in the adjacent areas, obtaining the boundary areas where the display quality is degraded due to the transition problem; S6. Optimize the area division granularity and drive frequency settings based on simulation analysis and experimental testing, taking into account the panel material characteristics, pixel arrangement, and signal integrity factors; S7. When the driving frequency of the display area changes, analyze the change in a multi-frequency linkage mode and dynamically adjust the driving frequency of each display area; S8. Continuously monitor the image changes in each of the display areas, and adjust the area division and frequency configuration according to the analysis of the complexity change trend of the displayed content.

2. The method for patterned low-power display driving based on multi-frequency linkage according to claim 1, characterized in that: The step S1 specifically includes: A clustering algorithm is used to divide the grayscale distribution characteristics and regional edge transition data of the display panel into regions. The division results are filtered by the size of the regions to obtain the regional brightness data set and the regional boundary coordinate point set. Extracting pixel grayscale distribution statistics and regional refresh rate data within the display area based on the regional brightness data set, and using a regional grayscale mapping function to quantify the grayscale distribution within the display area to obtain a regional driving parameter reference value; Generate a driving frequency parameter range for each display area according to the regional driving parameter reference value and the regional refresh rate data, and calculate a regional driving timing sequence in combination with the regional boundary coordinate point set; According to the regional driving timing sequence and the driving frequency parameter range, a linear interpolation method is used at the boundary of the display area to generate a transition parameter sequence, and the transition parameter sequence is corrected by a regional brightness balance compensation function.

3. The method for patterned low-power display driving based on multi-frequency linkage according to claim 1, characterized in that: The step S2 specifically includes: According to the boundary position of the display panel area, the voltage waveform and the current waveform of the pixel points adjacent to the display area are collected, and the pixel brightness error value and the crosstalk intensity value are obtained through spectrum analysis; A pixel response characteristic calculator is used to process the correlation characteristics between the pixel brightness error value and the crosstalk intensity value, and a regional driving frequency difference value is calculated based on the adjacent region distance data; Comparing the regional driving frequency difference value with a driving frequency difference threshold, and if the regional driving frequency difference value exceeds the driving frequency difference threshold, obtaining a set of boundary position coordinate points using a regional boundary iterative calculation method; A region division scheme is generated according to the boundary position coordinate point set and the regional driving frequency difference value, and the driving frequency parameters of adjacent display regions are adjusted by a crosstalk compensation method.

4. The method for patterned low-power display driving based on multi-frequency linkage according to claim 1, characterized in that: The step S3 specifically includes: Calculating a regional complexity index according to display content density and image gradient intensity, and dividing the display area using a watershed algorithm to obtain a set of regional boundary points; Performing polynomial curve fitting on the region boundary point set to obtain curve coefficients, calculating the region contour complexity value based on the curve coefficients, and obtaining the region shape feature vector; Constructing a region division evaluation function based on the region shape feature vector and the display content similarity matrix, and iterating the region distribution parameters through an ant colony optimization algorithm to obtain multiple sets of region division parameters; The region boundary gradient and the display content change rate are calculated for the plurality of groups of region division parameters, and the region boundary smoothness is compared with a preset threshold to screen out the optimal region division parameters.

5. The method for patterned low-power display driving based on multi-frequency linkage according to claim 1, characterized in that: The step S4 specifically includes: The display content includes signal amplitude, duty cycle and phase; Calculating a regional drive load value according to the size of the display area and the brightness distribution of the display content, and processing the regional drive load value through a back propagation algorithm to obtain an initial drive level value and an initial drive timing value; Performing waveform parameter calculation on the initial value of the driving level and the regional display motion speed, processing the waveform parameters through a timing response function, and obtaining a driving parameter sequence consisting of a driving signal amplitude value and a duty cycle value; A multiple iteration method is used to process the driving parameter sequence, and a phase adjustment amount of adjacent driving signals is calculated according to the regional display power consumption index to obtain an optimized driving timing sequence; A pixel driving voltage sequence and a driving current sequence are generated by using the optimized driving timing sequence, and time domain response compensation processing is performed on the driving voltage sequence and the driving current sequence to obtain a calibrated output level of the regional display pixel.

6. The method for patterned low-power display driving based on multi-frequency linkage according to claim 1, characterized in that: The step S5 specifically includes: The sliding window method is used to obtain the pixel brightness value at the boundary according to the boundary position coordinates, and the brightness difference value and brightness gradient value on both sides of the boundary are obtained through brightness calculation; By comparing the brightness difference between the boundary pixels and the pixels in the adjacent area, the boundary area where the display quality is degraded due to the transition problem is obtained; If the brightness difference value of the boundary area exceeds a preset brightness threshold, a brightness transition compensation method is used to construct a boundary brightness gradient function and a transition area width value for the boundary brightness value; According to the boundary brightness gradient function and the transition area width value, the driving frequency increment at the boundary is calculated by the gradient descent method to obtain a transition driving frequency curve and a frequency compensation parameter; The driving response calibration is performed on the transition driving frequency curve, and the driving frequency increment is adjusted in sections by a timing compensation method to obtain a driving frequency sequence with a smooth transition.

7. The method for driving a display with low power consumption based on multi-frequency linkage according to claim 1, characterized in that: The step S6 specifically includes: Establishing a transfer characteristic matrix of the display area based on the panel material impedance value and pixel pitch data, using the transfer characteristic matrix and performing mapping calculation on the regional frequency coupling through a neural network algorithm to obtain simulation benchmark parameters; Constructing a regional signal transmission model based on the simulation benchmark parameters, quantitatively evaluating the carrier interference of the regional signal transmission model using a frequency domain analysis method, and obtaining a regional signal feature vector; constructing a regional boundary response function according to the regional signal feature vector, and optimizing the regional boundary response function by a genetic algorithm to obtain a set of regional division schemes; A regional frequency modulation curve is generated for the regional division scheme set by a display frequency response calculator, and a frequency transition characteristic of the regional frequency modulation curve is dynamically compensated to obtain regional division parameters.

8. The method for display driving with low power consumption based on multi-frequency linkage according to claim 1, characterized in that: The step S7 specifically includes: Sampling and analyzing the regional coupling degree according to the frequency variation amplitude of the display area, and obtaining the regional interconnection function through recursive neural network calculation; A wavelet transform method is used to extract regional display features from the regional interconnection function, and a frequency mapping model is established according to the display quality index to obtain a frequency adjustment curve; Adopting the frequency adjustment curve to perform adaptive iterative calculation on the regional interference degree value, and processing the regional display response speed by a segmented optimization method to obtain a frequency modulation sequence; The display brightness stability is calculated according to the frequency modulation sequence, and the regional frequency change limit is constrained by a frequency transition compensation method to obtain the final frequency control parameter.

9. The method for display driving with low power consumption based on multi-frequency linkage according to claim 1, characterized in that: The step S8 specifically includes: Establishing a time series feature matrix according to the image change speed of the display area, and processing the time series feature matrix using a long short-term memory network to obtain a display content change vector; Performing regional load calculation on the display content change vector, and performing time domain mapping on the regional load data using a prediction time window function to obtain a regional division prediction value; Using a convolutional neural network to process the region division prediction value, and generating a frequency adjustment sequence and a driving parameter update table according to the region boundary stability index; A region boundary optimization operation is performed on the frequency adjustment sequence, and the region division scheme and the driving frequency configuration are updated through a timing compensation method.

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