Picture consistency adjusting method of LCD (liquid crystal display)

Abstract

The invention relates to the technical field of LCD display adjustment, and discloses a picture consistency adjusting method of an LCD liquid crystal display screen. The method comprises the following steps: collecting real-time brightness and temperature distribution data of each partition of a display panel, counting brightness difference and temperature gradient between the partitions, matching an output value of a backlight module with a partition brightness demand, and generating an initial picture adjustment parameter; calculating a brightness maintenance target value and a response time interval of the key area based on the initial parameters, sorting a backlight compensation sequence and a temperature regulation priority, and generating a brightness regulation sequence of the key area; analyzing a backlight source driving period and a temperature regulation and control time sequence, calibrating a conflict and backlight insufficient area, and adjusting a compensation interval to generate a dynamic constraint evaluation result; counting the difference between a partition refreshing node and a compensation value, calculating a compensation range and a time correction amount, and recombining a backlight time sequence to generate a partition compensation scheme; and monitoring ambient light and panel temperature fluctuation, adjusting a driving time sequence and refreshing nodes, and generating a picture offset correction parameter to guarantee picture consistency.

Description

Technical Field

[0001] The present invention relates to the technical field of LCD display adjustment, and in particular to a method for adjusting the picture consistency of an LCD liquid crystal display screen. Background Art

[0002] In the application of LCD screens, image consistency is an important factor affecting the display effect. This is especially true in large-size display panels, high-resolution display devices, and professional display fields, where the requirements for image consistency are even more stringent. Currently, when LCD screens are in operation, the brightness performance of each area of ​​the display panel is easily affected by a variety of factors and varies. The output values ​​of the backlight modules in different zones of the display panel are difficult to accurately match the actual brightness requirements of each zone, resulting in some areas being too bright or too dark, and thus generating brightness differences between zones, affecting the visual uniformity of the overall picture.

[0003] During operation, the display panel generates heat, which is unevenly distributed, creating a noticeable temperature gradient. These temperature changes can further affect the display panel's optical performance and response speed, causing unstable brightness in key display areas and fluctuations in response time intervals. This not only reduces image quality but can also cause issues like streaking and image sticking in dynamic images.

[0004] Existing technologies lack a scientific and rational analysis of the matching of backlight drive cycles and temperature control timing, which can easily lead to drive signal conflicts. This can prevent some areas from displaying properly due to insufficient backlight, further exacerbating image consistency issues. Furthermore, changes in ambient lighting are a significant factor. Fluctuations in external light intensity can affect the actual display quality of the display panel. Existing adjustment methods often fail to monitor and effectively address the impact of ambient lighting changes and panel temperature fluctuations in real time, resulting in frequent image offsets and making it difficult to restore image consistency through effective parameter correction.

[0005] In terms of backlight utilization, existing technologies fail to fully calculate the weight relationship between backlight utilization and response time, and are unable to optimize the backlight compensation sequence and temperature control priority based on actual conditions, resulting in inefficient use of backlight resources. They are also unable to accurately generate brightness adjustment sequences for key areas, leading to poor adjustment effects. Furthermore, the statistics on the differences between the refresh time nodes and backlight compensation value distributions for each partition are not comprehensive enough, making it difficult to accurately match backlight utilization with the effective duration of the drive signal. Consequently, it is impossible to reasonably calculate the backlight compensation range and refresh time correction amount, and it is impossible to formulate an effective partitioned backlight compensation solution by reorganizing the backlight output timing. Ultimately, the problem of image consistency on LCD screens remains difficult to effectively resolve during long-term operation, limiting their application in high-end display applications. Summary of the Invention

[0006] The object of the present invention is to provide a method for adjusting the image consistency of an LCD display screen to solve the problems raised in the above background technology.

[0007] To achieve the above object, the present invention provides a method for adjusting the image consistency of an LCD display screen, the method comprising:

[0008] Collect real-time brightness data and temperature distribution data of each partition of the display panel, calculate the brightness difference and temperature gradient between partitions, match the backlight module output value with the partition brightness requirement, and generate initial picture adjustment parameters;

[0009] Based on the initial image adjustment parameters, the brightness maintenance target value and response time interval of the key display area are calculated, the backlight compensation order and temperature control priority are sorted, the backlight utilization rate and response time weight are calculated, and a brightness adjustment sequence for the key area is generated;

[0010] Based on the brightness adjustment sequence of the key areas, a matching analysis is performed on the backlight drive cycle and the temperature control timing, the drive signal conflict area and the backlight insufficient area are calibrated, the backlight compensation time interval is adjusted, and a dynamic constraint evaluation result is generated;

[0011] Based on the dynamic constraint evaluation results, the differences between the refresh time nodes and the backlight compensation value distribution of each partition are counted, the backlight utilization rate and the effective duration of the driving signal are matched, the backlight compensation range and the refresh time correction amount are calculated, the backlight output timing is reorganized, and a partition backlight compensation solution is generated;

[0012] Real-time monitoring of ambient light changes and panel temperature fluctuations, calculation of actual refresh time and environmental interference deviation, statistics of effective driving signal duration and remaining backlight output, adjustment of driving timing and refresh nodes, and generation of picture offset correction parameters.

[0013] Preferably, the initial picture adjustment parameters include backlight output distribution ratio, brightness requirement matching result, and backlight module output difference analysis;

[0014] The key area brightness adjustment sequence includes key area backlight priority, backlight utilization efficiency, and response interval optimization sequence;

[0015] The dynamic constraint evaluation result includes a driving signal time parameter, a backlight insufficient area identifier, and a compensation interval correction value;

[0016] The partitioned backlight compensation scheme includes refresh time node arrangement, drive signal distribution scheme, and backlight compensation timing adjustment;

[0017] The picture offset correction parameters include drive signal state adjustment, refresh time deviation correction, and backlight output balance parameters.

[0018] Preferably, the step of obtaining the initial picture adjustment parameters is specifically as follows:

[0019] Obtain the brightness requirement value of each partition and the output capacity of the backlight module, comprehensively calculate the effective output value of the backlight in multiple partitions, calculate the deviation between the total backlight output value and the brightness requirement, and generate a backlight output deviation set;

[0020] Analyzing the backlight output deviation set, adjusting the matching relationship between backlight and temperature control according to the temperature distribution data, and establishing a temperature compensation association set;

[0021] According to the temperature compensation association set, the difference in the ratio of backlight output and temperature compensation is compared to generate initial picture adjustment parameters.

[0022] Preferably, the step of acquiring the key area brightness adjustment sequence is specifically as follows:

[0023] Analyze the backlight resource configuration of the key display area according to the initial picture adjustment parameters, calculate the brightness maintenance start time, predict the optimal backlight response sequence, and generate a key area response timetable;

[0024] By using the critical area response schedule and combining the backlight urgency, a backlight compensation sequence is adjusted to establish a backlight priority list;

[0025] The backlight priority list is used to integrate actual response interval requirements, calculate backlight utilization efficiency and response interval weights of key areas, and generate a key area brightness adjustment sequence.

[0026] Preferably, the steps of obtaining the dynamic constraint evaluation result are specifically as follows:

[0027] Extracting the brightness start time of each area and the backlight driving cycle from the key area brightness adjustment sequence, analyzing the driving signal occupancy, determining the backlight resource demand distribution, and generating a backlight demand analysis result;

[0028] Marking driving signal time conflict areas and backlight supply shortage areas according to the backlight demand analysis results, and creating a conflict and shortage index table;

[0029] The conflict and shortage index table is used to recalculate the backlight compensation interval of each area, optimize the backlight compensation timing, and generate a dynamic constraint evaluation result.

[0030] Preferably, the steps of obtaining the partition backlight compensation solution are specifically as follows:

[0031] Extract the refresh time nodes and backlight compensation value distribution differences from the dynamic constraint evaluation results, compare the backlight compensation timing and resource distribution, analyze the backlight execution sequence and utilization efficiency, and generate a time node and compensation difference distribution table;

[0032] By using the time nodes and the compensation difference distribution table, the backlight utilization rate is associated with the effective duration of the driving signal, the time conflict area and the backlight insufficient area are calibrated, and the resource conflict analysis result is created;

[0033] Based on the resource conflict analysis result, the backlight compensation range and the refresh time correction amount are calculated, the backlight output distribution is optimized, and a partitioned backlight compensation solution is generated.

[0034] Preferably, the step of obtaining the picture offset correction parameter is specifically as follows:

[0035] Extracting ambient light change data and panel temperature fluctuation data from the partitioned backlight compensation scheme, combining them with refresh time nodes, determining the degree of impact of environmental interference on backlight output, and generating environmental interference analysis results;

[0036] Using the environmental interference analysis results, calculate the deviation between the refresh time and the environmental interference, count the effective duration of the driving signal and the remaining backlight output, calibrate the driving signal and refresh node that need to be adjusted, and create a time deviation analysis table;

[0037] Based on the time deviation analysis table, the driving signal timing and the refresh time node are adjusted to match the real-time environmental changes, and the picture offset correction parameters are generated.

[0038] Preferably, the method further comprises:

[0039] Updating the backlight module output value according to the image offset correction parameter, collecting the brightness uniformity index of each partition of the image in real time, and generating image status feedback data;

[0040] Based on the picture state feedback data, the brightness difference and temperature gradient distribution between the partitions are recalculated, and the initial picture adjustment parameters are iteratively updated.

[0041] Preferably, the steps for processing the screen state feedback data are specifically as follows:

[0042] Analyze the degree of deviation between the brightness uniformity index of each partition and the backlight output value, calculate the backlight compensation residual error, and generate a compensation error distribution map;

[0043] According to the compensation error distribution diagram, the matching relationship between the backlight source driving cycle and the temperature control timing is corrected to optimize the dynamic constraint evaluation result.

[0044] Preferably, the method further comprises:

[0045] Based on the optimized dynamic constraint evaluation results, the backlight output timing and refresh time nodes are reorganized to generate a new round of partitioned backlight compensation solutions, and the picture consistency is continuously adjusted in a closed loop.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] By collecting real-time brightness data and temperature distribution data of each partition of the display panel, we can accurately grasp the brightness and temperature conditions of each area of ​​the display panel. On this basis, we can count the brightness differences and temperature gradients between partitions, and match the backlight module output value with the partition brightness requirements to generate the initial picture adjustment parameters. This makes the starting point of adjustment more in line with the actual operating status of the display panel, avoiding adjustment deviations caused by unreasonable initial parameter settings, and providing a scientific basis for picture consistency adjustment from the source.

[0048] Based on the initial picture adjustment parameters, the brightness maintenance target value and response time interval of the key display area are further calculated, the backlight compensation order and temperature control priority are sorted, and the backlight utilization rate and response time weights are counted to generate the key area brightness adjustment sequence. This process can focus on the key areas in the display panel that have a greater impact on the visual effects, clarify the order of adjustment and the primary and secondary relationships, ensure that the brightness of the key areas can be stably maintained within the target range, and the response time interval is also reasonably controlled, reducing the negative impact of unstable brightness or response delay in the key areas on the overall picture consistency, while improving the utilization efficiency of backlight resources and avoiding unnecessary energy waste.

[0049] After generating the brightness adjustment sequence for key areas, the backlight drive cycle and temperature control timing are matched and analyzed, the drive signal conflict areas and insufficient backlight areas are calibrated, and the backlight compensation time interval is adjusted to generate a dynamic constraint evaluation result. This step can effectively identify and avoid conflicts that may arise during the backlight drive and temperature control process, promptly identify areas with insufficient backlight and make targeted adjustments. The dynamic constraint evaluation ensures the stability and reliability of the adjustment process, prevents picture anomalies caused by drive signal conflicts or insufficient backlight, and further ensures the consistency of the picture.

[0050] Based on the results of dynamic constraint evaluation, the differences in the refresh time nodes and backlight compensation value distribution of each partition are counted, the backlight utilization rate is matched with the effective duration of the driving signal, the backlight compensation range and refresh time correction amount are calculated, and the backlight output timing is reorganized to finally generate a partition backlight compensation solution. This process realizes the fine-grained adjustment of each partition of the display panel, and formulates personalized backlight compensation strategies according to the specific conditions of different partitions, so that the brightness of each partition can be better coordinated and consistent. At the same time, it optimizes the coordination between the screen refresh time and the backlight output timing, reduces the screen differences caused by the mismatch between the refresh time and the backlight compensation, and improves the smoothness and consistency of the overall screen.

[0051] This method can also monitor changes in ambient light and panel temperature fluctuations in real time, calculate the actual refresh time and environmental interference deviation, count the effective duration of the drive signal and the remaining backlight output, and then adjust the drive timing and refresh nodes to generate picture offset correction parameters, so that the adjustment process has dynamic adaptability and can respond to the impact of external environmental changes and fluctuations in the panel's own operating status in a timely manner, avoiding picture offset caused by environmental interference or panel temperature changes, ensuring that the LCD display can maintain good picture consistency in different operating environments and operating stages, improving the overall display quality and user experience of the display device, especially in large-size display, high-resolution display and professional display scenarios, and can better meet the high requirements for picture consistency, expanding the application range of LCD display. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a working principle diagram of the method for adjusting the image consistency of an LCD display screen according to the present invention;

[0053] Figure 2 Flowcharts defined for parameter and result types;

[0054] Figure 3 Flowchart for obtaining parameters for initial screen adjustment;

[0055] Figure 4 A flow chart obtained for the partitioned backlight compensation scheme;

[0056] Figure 5 Flowchart for obtaining screen offset correction parameters. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0058] See also Figure 1 The present invention provides a method for adjusting the image consistency of an LCD display screen, the method comprising:

[0059] Collect real-time brightness data and temperature distribution data of each partition of the display panel, and match the backlight module output value with the partition brightness requirement by counting the brightness difference and temperature gradient between the partitions, so as to generate the initial picture adjustment parameters. Based on the initial picture adjustment parameters, calculate the brightness maintenance target value and response time interval of the key display area, sort the backlight compensation order and temperature control priority, and count the backlight utilization rate and response time weight to generate the key area brightness adjustment sequence. Subsequently, based on the key area brightness adjustment sequence, perform a matching analysis of the backlight source drive cycle and the temperature control timing, calibrate the drive signal conflict area and the backlight insufficient area, adjust the backlight compensation time interval, and generate a dynamic constraint evaluation result. Further, based on the dynamic constraint evaluation result, count the difference between the refresh time nodes of each partition screen and the backlight compensation value distribution, match the backlight utilization rate with the effective duration of the drive signal, calculate the backlight compensation range and refresh time correction amount, reorganize the backlight output timing, and generate a partition backlight compensation solution. Finally, the changes in ambient light and panel temperature fluctuations are monitored in real time, the actual refresh time and environmental interference deviation are calculated, the effective duration of the driving signal and the remaining backlight output are counted, the driving timing and refresh nodes are adjusted, and the picture offset correction parameters are generated, thereby achieving dynamic adjustment of picture consistency.

[0060] Example 1: See Figure 2 , the key area brightness adjustment sequence includes key area backlight priority, backlight utilization efficiency and response interval optimization order. The key area backlight priority is determined based on the brightness demand matching result in the initial picture adjustment parameters, and priority is given to areas with larger brightness deviations. The priority is achieved through a sorting algorithm, such as descending order according to the size of the brightness difference. The backlight utilization efficiency calculates the ratio of the backlight output value to the actual brightness increase, evaluates the resource utilization effect by monitoring the brightness change and backlight consumption, and generates an efficiency report. The response interval optimization order arranges the compensation order according to the length of the backlight response time interval, and the short interval area is given priority to minimize the delay. The optimization order is generated by the timing analysis algorithm.

[0061] The dynamic constraint evaluation results include drive signal timing parameters, identification of insufficient backlight areas, and compensation interval correction values. The drive signal timing parameters extract the start time, end time, and cycle length of each zone's drive signal from the backlight module driver circuit and are recorded in a timing parameter table for use in analyzing signal overlap and conflict. Insufficient backlight areas are identified by comparing backlight demand values ​​with actual output values. A threshold is used to identify areas with insufficient backlight supply, and a list of identifications is generated. The compensation interval correction value adjusts the backlight compensation interval based on temperature distribution data and brightness differences. This correction process calculates the impact of temperature gradients on backlight output and generates a set of correction values. The zoned backlight compensation solution includes refresh time node scheduling, drive signal allocation, and backlight compensation timing adjustment. Refresh time node scheduling allocates refresh times for each zone based on the image refresh cycle and backlight compensation requirements. This scheduling is implemented through a time scheduling algorithm to ensure refresh synchronization. The drive signal allocation solution allocates drive signal duration and intensity based on zone requirements. This allocation is based on matching the backlight output allocation ratio with the brightness requirements, and a signal allocation table is generated. Backlight compensation timing adjustment reorganizes the output order according to the differences in compensation value distribution. The adjustment process involves reordering the driving signals to optimize resource utilization.

[0062] Picture offset correction parameters include drive signal state adjustment, refresh time deviation correction, and backlight output balance parameters. Drive signal state adjustment modifies the on / off state, output level, and duration of the drive signal to respond to environmental changes. This adjustment is implemented by the driver controller. Refresh time deviation correction calculates the difference between the actual refresh time and the planned time and corrects the time node. This correction is based on environmental interference analysis. Backlight output balance parameters redistribute backlight output values ​​to reduce brightness differences between partitions. Balancing is achieved through weighted averaging or optimization algorithms.

[0063] The generation of initial image adjustment parameters begins with data acquisition. Real-time brightness data for each display panel zone is acquired via an integrated light sensor array. The sensors collect brightness values ​​at a fixed sampling rate and transmit them to the processing unit. Temperature distribution data is monitored by temperature sensors, located on the back of the panel or integrated into the backlight unit, which collect temperature values ​​in real time. The processing unit calculates brightness differences between zones, calculating the absolute difference between each zone's brightness value and the average. It also calculates temperature gradients, which are calculated by the temperature difference between adjacent zones. To match the backlight unit output values ​​to the required zone brightness, a lookup table or mathematical model is used to map the output values ​​to the required values, generating the initial backlight output distribution ratio. The brightness requirement matching result is determined by comparing the real-time brightness with the target brightness. The degree of match is calculated as a percentage difference and recorded in a matching report. The backlight unit output variance analysis analyzes the distribution of each zone's output values, calculates the coefficient of variation or range, and generates variance analysis results. These parameters together constitute the initial image adjustment parameters, which are used to guide subsequent adjustments.

[0064] The generation of the brightness adjustment sequence for key areas depends on the initial image adjustment parameters. When analyzing the backlight resource configuration for key display areas, key areas are defined as areas with large brightness differences or high temperatures. The resource configuration includes backlight output values ​​and temperature compensation values. The calculation of the brightness maintenance start time is based on the backlight response characteristics and the urgency of the demand. The start time prediction is estimated using historical data or models. The optimal backlight response sequence is predicted using a timing optimization algorithm, such as a greedy algorithm or dynamic programming, to generate a sequence schedule. The backlight urgency is determined based on the brightness deviation and temperature impact. Areas with high urgency are prioritized, and a backlight priority list is established. When integrating the actual response interval requirements, which are derived from hardware limitations or system settings, the backlight utilization efficiency is calculated by analyzing the output and the brightness increase through a ratio analysis. The response interval weights are assigned based on time sensitivity, ultimately generating the brightness adjustment sequence for key areas.

[0065] The generation of dynamic constraint evaluation results extracts data from the brightness adjustment sequence of key areas, extracts the brightness start time and backlight drive cycle of each area, and obtains the drive cycle from the drive signal parameters. The drive signal occupancy is analyzed through the time overlap detection algorithm, and the backlight resource demand distribution is determined based on the backlight demand and timing requirements of each area, and the backlight demand analysis results are generated. The drive signal time conflict area is marked using time conflict detection, and the signal start and end time are compared to identify the overlapping area. The backlight supply shortage area is identified by the difference between demand and output, and a conflict and shortage index table is created. When recalculating the backlight compensation interval of each area, the interval is adjusted based on the temperature gradient. The temperature gradient affects the backlight efficiency. The backlight compensation timing is optimized by rearranging the drive signal sequence to generate dynamic constraint evaluation results.

[0066] The generation of a partitioned backlight compensation solution is based on the results of a dynamic constraint assessment. The differences between refresh time nodes and backlight compensation value distributions are extracted. Refresh nodes are obtained from the schedule, and compensation value differences are calculated by comparing ideal and actual values. The backlight compensation timing and resource distribution are compared to analyze the execution order and utilization efficiency, and a distribution table of time nodes and compensation differences is generated. Backlight utilization is associated with the effective duration of the drive signal through correlation analysis or mapping functions. Index table data is used to calibrate time conflict areas and insufficient backlight areas, and resource conflict analysis results are generated. The backlight compensation range and refresh time correction amount are calculated. The range defines the output adjustment amplitude, and the correction amount is determined through deviation calculation. The backlight output distribution is optimized by redistributing the output values ​​to generate a partitioned backlight compensation solution.

[0067] Image offset correction parameters are generated in real time. Ambient light change data and panel temperature fluctuation data are extracted from the partitioned backlight compensation scheme. Ambient data is monitored by a light sensor, and temperature data is collected by a temperature sensor. The degree of environmental interference impact is determined in conjunction with the refresh time node. This impact is calculated using an interference model to generate an environmental interference analysis result. The deviation between the refresh time and the environmental interference is calculated using the time difference and interference intensity. The effective duration of the drive signal and the remaining backlight output are calculated. The effective duration is obtained from the drive signal record, and the remaining output is calculated as unused backlight resources. The drive signal and refresh nodes that need adjustment are calibrated based on the deviation analysis, and a time deviation analysis table is created. The drive signal timing and refresh time nodes are adjusted. Adjustments are made by modifying the drive parameters and refresh plan to match real-time environmental changes, generating image offset correction parameters.

[0068] Example 2: See Figure 3 After obtaining the required brightness value for each partition and the backlight module's output capacity, a comprehensive statistical analysis of the effective backlight output values ​​for each partition is performed. The effective output value is calculated as the ratio of the actual output to the theoretical maximum output. A weighted average algorithm is used to aggregate the values ​​for each partition, with weights assigned based on the partition's area and importance. When calculating the deviation between the total backlight output value and the required brightness, a difference calculation combined with a sliding average filter is used to eliminate the effects of instantaneous fluctuations. This generates a backlight output deviation set, which contains the deviation value for each partition and timestamp information.

[0069] When analyzing the backlight output deviation set, temperature distribution data is introduced for ratio adjustment. A correlation model is established between temperature data and backlight output, and a linear regression algorithm is used to calculate the temperature compensation coefficient to establish a temperature compensation correlation set. This set contains a temperature-backlight mapping table that records the backlight adjustment parameters corresponding to different temperature ranges. When comparing the ratio difference between backlight output and temperature compensation, the least squares method is used to optimize the ratio relationship, and finally generate the initial picture adjustment parameters, including the backlight output allocation ratio, brightness requirement matching results, and backlight module output difference analysis. The backlight output allocation ratio represents the resource allocation of each partition in percentage form. The brightness requirement matching result uses a matching degree scoring mechanism. The backlight module output difference analysis quantifies the output non-uniformity through standard deviation calculation.

[0070] The key area brightness adjustment sequence is derived based on the initial image adjustment parameters. When analyzing the backlight resource configuration for key display areas, key areas are automatically identified based on brightness deviation thresholds. Resource configuration data, including allocation ratios and matching results, is extracted from the initial parameters. A time prediction algorithm is used to calculate the start time of brightness maintenance. This model is then developed by combining backlight response characteristics and historical data. When predicting the optimal backlight response sequence, a dynamic programming algorithm is used to optimize the timing and generate a key area response schedule. This schedule includes the backlight activation time and duration for each key area.

[0071] The compensation order for critical area response schedules is adjusted based on backlight urgency. Backlight urgency is assessed based on brightness deviation, temperature impact coefficient, and time urgency. A multi-factor scoring model is used to determine priority, creating a backlight priority list. This list is stored in a tree structure, supporting fast query and update. When integrating actual response interval requirements, response intervals are set based on hardware response speed and system latency. Backlight utilization efficiency in critical areas is calculated using the ratio of actual brightness increase to energy consumption. Response interval weights are assigned based on time sensitivity analysis, and the importance weight of each interval is calculated using an entropy weighting method. The resulting critical area brightness adjustment sequence consists of a structured data set organized by time, including a critical area backlight priority queue, a backlight utilization efficiency matrix, and a response interval optimization sequence chain. The priority queue uses a max-heap data structure for real-time updates. The efficiency matrix uses a two-dimensional array to store utilization efficiency values ​​for each area over different time periods. The optimization sequence chain uses a linked list structure to support dynamic adjustment.

[0072] Example 3: See Figure 4 , according to the results of the backlight demand analysis, mark the driving signal time conflict area and the backlight supply shortage area. The time conflict area is identified by comparing the time parameters of the driving signals of each partition. When the overlap of the driving time periods of two partitions exceeds the set threshold, it is marked as a conflict area. The backlight supply shortage area is determined by comparing the backlight demand value with the actual output value. When the demand value exceeds a certain proportion of the output value, it is marked as a shortage area. Create a conflict and shortage index table, which is stored in a hash table structure. The key is the area identifier and the value is the degree of conflict or the amount of shortage. Use the conflict and shortage index table to recalculate the backlight compensation interval of each area. The calculation of the compensation interval takes into account the influence of temperature gradient and brightness difference, and the following formula is used for optimization calculation:

[0073]

[0074] in: Indicates the newly calculated backlight compensation interval in milliseconds; Indicates the basic compensation interval; is the temperature gradient influence coefficient; Indicates the temperature gradient value; is the brightness difference influence coefficient; Indicates the brightness difference value. Temperature gradient The brightness difference is calculated by the temperature difference between adjacent partitions. The backlight compensation timing is optimized by calculating the difference between the partition brightness and the target brightness. This is achieved by rearranging the drive signal sequence, using a greedy algorithm to prioritize areas with significant conflicts, and generating a dynamic constraint evaluation result. This result includes a table of drive signal timing parameters, a map identifying areas with insufficient backlight, and a list of compensation interval correction values.

[0075] The partitioned backlight compensation solution is derived based on the results of a dynamic constraint assessment. The assessment results extract refresh time nodes and backlight compensation value distribution differences. Refresh time nodes refer to the scheduled refresh times for each partition. Compensation value distribution differences are calculated by comparing the standard deviation of ideal compensation values ​​with actual compensation values. To compare backlight compensation timing with resource distribution, timing-resource correlation analysis is used. Time series data is matched with resource allocation data in three dimensions to analyze backlight execution order and utilization efficiency. The backlight execution order is determined based on a priority list, and utilization efficiency is calculated as the ratio of actual brightness increase to energy consumption. A time node and compensation difference distribution table is generated, containing the time node sequence and the corresponding compensation difference values. Using this table, backlight utilization is correlated with the effective duration of the drive signal. The correlation analysis uses the Pearson correlation coefficient to calculate the correlation between backlight utilization and drive signal duration. Backlight utilization is defined as the ratio of actual brightness output to theoretical maximum output, while the effective duration of the drive signal refers to the duration of the actual drive signal application. When calibrating time conflict areas and backlight deficiency areas, the identification data from the dynamic constraint evaluation results is combined with real-time monitoring data to update the area status. A resource conflict analysis result is created, which includes a distribution map of conflicting areas and a detailed list of deficiency areas.

[0076] Based on the results of resource conflict analysis, the backlight compensation range and refresh time correction are calculated. The backlight compensation range is determined by the difference between demand and output, and a sliding window algorithm is used to calculate the compensation demand for each time period. The refresh time correction is calculated by the difference between the actual refresh time and the planned time, and is adjusted to account for environmental interference factors. A resource reallocation algorithm is used to optimize the backlight output distribution, reallocating backlight resources based on priority and urgency. A partitioned backlight compensation plan is generated, which includes a refresh time node schedule, a drive signal allocation plan diagram, and a backlight compensation timing adjustment sequence. The refresh time node schedule details the refresh time and duration of each partition. The drive signal allocation plan diagram visually displays the signal distribution. The backlight compensation timing adjustment sequence records the execution order and time parameters of the compensation operations.

[0077] Example 4: See Figure 5The implementation process begins by extracting ambient light variation data and panel temperature fluctuation data from the zoned backlight compensation scheme. This data is collected by an array of light sensors installed around the display. These sensors continuously monitor ambient illuminance values ​​with a 100ms cycle, covering a measurement range of 0-10,000 lux. Panel temperature fluctuation data is captured by a network of temperature sensors distributed across the back of the display panel. These digital temperature sensors, with a 0.1°C accuracy, record the temperature of each zone with a 200ms sampling period. This real-time data is then correlated with the refresh time nodes in the zoned backlight compensation scheme, which include information about the scheduled refresh time and duration for each zone.

[0078] A multi-factor correlation analysis method is used to determine the impact of environmental interference on backlight output. Ambient light changes are converted into impact coefficients on backlight output using an illuminance-luminance mapping model, which is based on a pre-calibrated illuminance-luminance relationship curve. Panel temperature fluctuations are converted into parameters affecting the response speed of the liquid crystal using a temperature-response model, which takes into account the temperature-dependent effects on the rotation rate of liquid crystal molecules. The generated environmental interference analysis results include an illuminance impact coefficient matrix and a temperature impact parameter table, detailing the degree of environmental influence on each partition. The environmental interference analysis results are used to calculate the deviation between refresh time and environmental interference. This deviation is calculated by comparing the refresh performance under actual environmental conditions with the expected performance under ideal conditions, taking into account the combined effects of illuminance changes and temperature fluctuations. When calculating the effective duration of the drive signal, the actual duration of the drive signal for each partition is obtained from the backlight driver controller and recorded with microsecond accuracy. The remaining backlight output is calculated by calculating the difference between the maximum output capacity of the backlight module and the actual output value, reflecting the available backlight adjustment margin.

[0079] When calibrating the drive signals and refresh nodes that need adjustment, a priority calibration algorithm is used. Based on the deviation amount and the amount of remaining output, the signals and nodes that need adjustment are divided into multiple priority levels. The example time deviation analysis table created contains the following:

[0080] Table 1: Time deviation analysis table.

[0081]

[0082] Based on the time deviation analysis table, the drive signal timing and refresh time nodes are adjusted. Drive signal timing adjustment includes modifying the drive signal's start time, duration, and output level. These adjustments are implemented through register settings in the backlight driver controller. Refresh time node adjustment involves rearranging the image refresh times for each sub-area, using a time reallocation algorithm to fine-tune while maintaining the overall refresh rate. To adapt to real-time environmental changes, a real-time mapping relationship between environmental parameters and adjustment parameters is established to ensure that adjustments can respond promptly to environmental changes. The image deviation correction parameters are generated using an incremental update mechanism. The drive signal state adjustment parameters include the new start time, duration, and amplitude values ​​for each sub-area drive signal. These parameters are stored in binary format in the driver controller's parameter memory. The refresh time deviation correction parameters contain the adjustment amount for each sub-area refresh time and the new event sequence. These parameters are written to the timing controller's register set. The backlight output balance parameters include the adjustment coefficients for each sub-area backlight output value and the new output distribution scheme. These parameters are transmitted to the backlight module control unit via the serial communication interface.

[0083] Data collection, analysis, and parameter generation are processed using a pipeline architecture. The environmental data collection module, analysis and calculation module, and parameter generation module operate in parallel, exchanging data through a ring buffer. The system uses a real-time operating system to schedule task execution, ensuring that all calculations and adjustments are completed within the specified time window. All parameter updates are written atomically to avoid display anomalies during the adjustment process. A continuous monitoring and feedback mechanism verifies the effectiveness of adjustments in real time and provides reference data for subsequent adjustments.

[0084] Example 5: The implementation process begins by updating the backlight module output value based on the image offset correction parameters. The update operation is performed by the backlight driver controller. After receiving the correction parameters, the controller rewrites the driver chip register settings via the I2C or SPI interface. The output value update uses a gradual adjustment method to avoid visual discomfort caused by sudden brightness changes. During the adjustment process, the driver controller monitors the output current and voltage changes to ensure that the adjustment accuracy is within the set range. The temperature control unit synchronously adjusts the power of the heating element to maintain a stable panel temperature. Real-time acquisition of brightness uniformity indicators for each screen segment is achieved through a distributed optical sensor network. The sensor array is evenly arranged on the display panel surface and uses a high-frequency sampling mode to capture brightness data for each segment. The collected data is converted by ADC and digitally filtered before being transmitted to the main processing unit. The brightness uniformity indicator calculation includes the average brightness value, standard deviation, and range of the segment brightness. These indicators comprehensively reflect the degree of image consistency. When generating image status feedback data, the system records the timestamp, brightness value of each segment, environmental parameters, and device status information to form a complete data record.

[0085] Based on the screen status feedback data, the brightness difference and temperature gradient distribution between partitions are recalculated. The brightness difference calculation uses an adjacent partition comparison algorithm to calculate the maximum brightness difference and the average brightness difference. The temperature gradient distribution calculates the temperature change rate within a unit distance by analyzing the temperature sensor data. When iteratively updating the initial screen adjustment parameters, the system compares the current parameter settings with the actual display effect and adjusts the parameter values ​​using an incremental learning algorithm. The parameter update process takes into account historical data trends and uses the following formula to calculate the parameter adjustment amount:

[0086]

[0087] in: Indicates the parameter adjustment amount, is the learning rate coefficient, represents the i-th error component, is the weight coefficient for the corresponding error component. Error components include brightness uniformity error, temperature gradient error, and time synchronization error. The learning rate coefficient controls the adjustment step size, and the weight coefficient reflects the relative importance of each error component. The parameter update process uses a sliding window method, retaining recent data for trend analysis.

[0088] Processing screen status feedback data involves a detailed analysis process. When analyzing the deviation between each zone's brightness uniformity index and the backlight output value, the system establishes a brightness-output relationship model and calculates the difference between theoretical and actual output. Backlight compensation residual error is calculated as the remaining difference after multiple compensations, reflecting the integrity of the compensation effect. When generating a compensation error distribution map, a two-dimensional visualization technique is used to display the spatial distribution of the error, with the error magnitude and direction annotated. Error analysis considers time factors and records the error trend over time. Based on the compensation error distribution map, the matching relationship between the backlight drive cycle and the temperature control timing is corrected. The drive cycle is adjusted by changing the PWM signal frequency, while the temperature control timing is optimized by rescheduling the operating hours of the heating element. This matching relationship correction utilizes a collaborative optimization algorithm that simultaneously considers backlight output and temperature control. When optimizing the dynamic constraint evaluation results, the system recalculates the degree of drive signal conflict and backlight supply adequacy, and updates the evaluation parameter settings.

[0089] Based on the optimized dynamic constraint assessment results, the backlight output timing and refresh time nodes are restructured. This timing reorganization utilizes a time-slice rotation algorithm to rationally allocate backlight resources across each partition. Refresh time nodes are rescheduled based on the vertical sync signal to maintain synchronization with the video signal. When generating a new round of partitioned backlight compensation plans, the system comprehensively considers historical compensation results and current needs to formulate a more precise compensation strategy. Continuous closed-loop image consistency adjustment is achieved through a feedback loop, comparing target and actual values ​​in real time and dynamically adjusting control parameters. This complete control loop is established throughout the entire implementation process. The data acquisition module continuously monitors display status and environmental conditions, the processing unit analyzes the data and generates control instructions, and the execution unit implements the adjustments. The system uses a multi-level cache structure to store historical data, enabling fast query and analysis. An anomaly detection mechanism monitors system operation and automatically triggers correction procedures when deviations are detected. A logging system records all operations and adjustments, providing data support for system performance analysis. An adaptive learning algorithm continuously optimizes parameter settings, improving system response speed and adjustment accuracy.

[0090] The implementation system comprises multiple subsystems working in concert. The data acquisition subsystem is responsible for sensor data acquisition and preprocessing, the analysis subsystem performs algorithm calculations and decision-making, and the control subsystem implements parameter adjustment and status monitoring. These subsystems are connected via a high-speed data bus and employ an event-driven architecture for real-time response. The system clock is strictly synchronized with the display refresh clock to ensure precise timing control. Redundant design ensures that the system can continue to operate even if key components fail, maintaining stable display quality.

Claims

1. A method for adjusting the image consistency of an LCD display screen, characterized in that: include: Collect real-time brightness data and temperature distribution data of each partition of the display panel, calculate the brightness difference and temperature gradient between partitions, match the backlight module output value with the partition brightness requirement, and generate initial picture adjustment parameters; Based on the initial image adjustment parameters, the brightness maintenance target value and response time interval of the key display area are calculated, the backlight compensation order and temperature control priority are sorted, the backlight utilization rate and response time weight are calculated, and a brightness adjustment sequence for the key area is generated; Based on the brightness adjustment sequence of the key areas, a matching analysis is performed on the backlight drive cycle and the temperature control timing, the drive signal conflict area and the backlight insufficient area are calibrated, the backlight compensation time interval is adjusted, and a dynamic constraint evaluation result is generated; Based on the dynamic constraint evaluation results, the differences between the refresh time nodes and the backlight compensation value distribution of each partition are counted, the backlight utilization rate and the effective duration of the driving signal are matched, the backlight compensation range and the refresh time correction amount are calculated, the backlight output timing is reorganized, and a partition backlight compensation solution is generated; Real-time monitoring of ambient light changes and panel temperature fluctuations, calculation of actual refresh time and environmental interference deviation, statistics of effective driving signal duration and remaining backlight output, adjustment of driving timing and refresh nodes, and generation of picture offset correction parameters.

2. The method for adjusting the image consistency of an LCD display according to claim 1, wherein: The initial picture adjustment parameters include backlight output distribution ratio, brightness requirement matching result, and backlight module output difference analysis; The key area brightness adjustment sequence includes key area backlight priority, backlight utilization efficiency, and response interval optimization sequence; The dynamic constraint evaluation result includes a driving signal time parameter, a backlight insufficient area identifier, and a compensation interval correction value; The partitioned backlight compensation scheme includes refresh time node arrangement, drive signal distribution scheme, and backlight compensation timing adjustment; The picture offset correction parameters include drive signal state adjustment, refresh time deviation correction, and backlight output balance parameters.

3. The method for adjusting the image consistency of an LCD display according to claim 2, wherein: The steps for obtaining the initial image adjustment parameters are specifically as follows: Obtain the brightness requirement value of each partition and the output capacity of the backlight module, comprehensively calculate the effective output value of the backlight in multiple partitions, calculate the deviation between the total backlight output value and the brightness requirement, and generate a backlight output deviation set; Analyzing the backlight output deviation set, adjusting the matching relationship between backlight and temperature control according to the temperature distribution data, and establishing a temperature compensation association set; According to the temperature compensation association set, the difference in the ratio of backlight output and temperature compensation is compared to generate initial picture adjustment parameters.

4. The method for adjusting the image consistency of an LCD display according to claim 3, wherein: The steps for obtaining the key area brightness adjustment sequence are specifically as follows: Analyze the backlight resource configuration of the key display area according to the initial picture adjustment parameters, calculate the brightness maintenance start time, predict the optimal backlight response sequence, and generate a key area response timetable; By using the critical area response schedule and combining the backlight urgency, a backlight compensation sequence is adjusted to establish a backlight priority list; The backlight priority list is used to integrate actual response interval requirements, calculate backlight utilization efficiency and response interval weights of key areas, and generate a key area brightness adjustment sequence.

5. The method for adjusting the image consistency of an LCD display according to claim 4, wherein: The steps for obtaining the dynamic constraint evaluation result are specifically as follows: Extracting the brightness start time of each area and the backlight driving cycle from the key area brightness adjustment sequence, analyzing the driving signal occupancy, determining the backlight resource demand distribution, and generating a backlight demand analysis result; Marking driving signal time conflict areas and backlight supply shortage areas according to the backlight demand analysis results, and creating a conflict and shortage index table; The conflict and shortage index table is used to recalculate the backlight compensation interval of each area, optimize the backlight compensation timing, and generate a dynamic constraint evaluation result.

6. The method for adjusting the image consistency of an LCD display according to claim 5, wherein: The steps for obtaining the partition backlight compensation solution are specifically as follows: Extract the refresh time nodes and backlight compensation value distribution differences from the dynamic constraint evaluation results, compare the backlight compensation timing and resource distribution, analyze the backlight execution sequence and utilization efficiency, and generate a time node and compensation difference distribution table; By using the time nodes and the compensation difference distribution table, the backlight utilization rate is associated with the effective duration of the driving signal, the time conflict area and the backlight insufficient area are calibrated, and the resource conflict analysis result is created; Based on the resource conflict analysis result, the backlight compensation range and the refresh time correction amount are calculated, the backlight output distribution is optimized, and a partitioned backlight compensation solution is generated.

7. The method for adjusting the image consistency of an LCD display according to claim 6, wherein: The steps for obtaining the picture offset correction parameters are specifically as follows: Extracting ambient light change data and panel temperature fluctuation data from the partitioned backlight compensation scheme, combining them with refresh time nodes, determining the degree of impact of environmental interference on backlight output, and generating environmental interference analysis results; Using the environmental interference analysis results, calculate the deviation between the refresh time and the environmental interference, count the effective duration of the driving signal and the remaining backlight output, calibrate the driving signal and refresh node that need to be adjusted, and create a time deviation analysis table; Based on the time deviation analysis table, the driving signal timing and the refresh time node are adjusted to match the real-time environmental changes, and the picture offset correction parameters are generated.

8. The method for adjusting the image consistency of an LCD display according to claim 7, wherein: Also includes: Updating the backlight module output value according to the image offset correction parameter, collecting the brightness uniformity index of each partition of the image in real time, and generating image status feedback data; Based on the picture state feedback data, the brightness difference and temperature gradient distribution between the partitions are recalculated, and the initial picture adjustment parameters are iteratively updated.

9. The method for adjusting the image consistency of an LCD display screen according to claim 8, wherein: The processing steps of the picture status feedback data are specifically as follows: Analyze the degree of deviation between the brightness uniformity index of each partition and the backlight output value, calculate the backlight compensation residual error, and generate a compensation error distribution map; According to the compensation error distribution diagram, the matching relationship between the backlight source driving cycle and the temperature control timing is corrected to optimize the dynamic constraint evaluation result.

10. The method for adjusting the image consistency of an LCD display screen according to claim 9, wherein: Also includes: Based on the optimized dynamic constraint evaluation results, the backlight output timing and refresh time nodes are reorganized to generate a new round of partitioned backlight compensation solutions, and the picture consistency is continuously adjusted in a closed loop.

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