Panel overdrive automatic debugging method based on brightness sampling data

Abstract

The invention discloses a panel overdrive automatic debugging method based on brightness sampling data, which can automatically measure and evaluate the brightness waveform which does not start OD compensation and the brightness waveform which starts OD compensation, and find a possible better compensation value according to an evaluation result until different voltage combinations obtain a better compensation result. According to the method, a loop playing test scene is configured through a register of a driving chip in advance, the loop playing test scene is composed of a plurality of low-brightness frames and a plurality of high-brightness frames, after measurement, the whole measurement data is firstly smoothed, and a certain group of continuous low-voltage and high-brightness frame combination is separated from a processed result; and analyzing and judging whether an accurate result can be obtained or not from the original data, if so, calculating the accurate result, and if not, only judging that the current state is an over-compensation state or an under-compensation state. And sequentially completing the steps for each voltage combination until a better OD compensation value is obtained.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of image processing, and relates to a panel overdrive automatic debugging method based on brightness sampling data. BACKGROUND

[0002] In a traditional LCD display screen, liquid crystal molecules need time to respond to an electrical signal and change their arrangement, which results in slow response time and motion blur. OD (OverDrive) driving uses an additional voltage pulse to speed up the switching of liquid crystal molecules. When a pixel needs to be switched quickly, the OD circuit applies a voltage pulse to force the liquid crystal molecules to respond more quickly. Generally, since an OLED display screen itself has an extremely fast response speed, usually in milliseconds or even microseconds, it does not need OD driving to further improve the response time. However, in the case of obvious voltage switching, the first two frames may still appear to be trailing due to insufficient brightness and large differences between subsequent frames.

[0003] To solve the above problems, it is necessary to measure the OLED display screen during voltage switching, determine the brightness difference between the first two frames and the subsequent frames, and add OD compensation on this basis. Then, the effect after compensation is measured and evaluated again, and the OD compensation strength is adjusted again according to the evaluation until a suitable compensation value is found. Because different combinations of high and low voltages require different OD compensation, this is a tedious and complex process that usually consumes a lot of manpower and time and the results are uncontrollable.

[0004] The present application provides an automatic method for measuring and analyzing the waveform after OD compensation, which can quickly complete this tedious process and the compensation result is more stable and accurate than the traditional method. SUMMARY

[0005] The present application provides a panel overdrive automatic debugging method based on brightness sampling data, which includes the following steps: Step one, configure a test scene and set the number of low-voltage frames and the number of high-voltage frames; Step two, input the low-voltage value, the high-voltage value, and the OD compensation value, and measure the test scene; Step three, smooth the measurement results; Step four, analyze the smoothed results to obtain an interval; Step five, perform fuzzy analysis on the original data in the interval; Step six, try to perform accurate analysis, if successful, directly obtain the RT value; if failed, calibrate the fuzzy analysis results to obtain the RT value; Step seven, perform binary search for the possible OD compensation value, if it exists, update the OD compensation value and return to step two; if it does not exist, proceed to the next step; Step 8. Record the optimal OD compensation value under the current voltage combination according to the RT value; Step 9: Determine whether there is any unmeasured voltage combination. If so, update the voltage combination and return to step 2. If not, end the measurement.

[0006] In step 1, an actual test scene is formed by alternating 6 low-brightness frames and 11 high-brightness frames based on the effect and time. In each test scene, only monochrome sub-pixels are lit, that is, only one type of R, G, and B sub-pixels is lit at a time.

[0007] In step 2, the OD compensation value is applied to the voltage and is effective only in the first two frames after a significant voltage change causes the brightness to change from dark to bright. The brightness information of the test scene is collected at the highest frequency using a measuring instrument. If the high and low voltage parameter combination is measured for the first time, the OD compensation value is reset to the starting value of 0.

[0008] In step three, the one-dimensional brightness information is processed using mean filtering or Gaussian filtering.

[0009] In step 4, after obtaining the filtering results, the brightness values ​​of the filtering results are sorted from small to large, and the values ​​at the 5% position and the 95% position are taken as the brightness references of the low brightness frame and the high brightness frame respectively, that is, a total of N brightness values, these N values ​​are sorted to obtain a sequence from small to large {brightness 1, brightness 2, brightness 3...brightness N}, and the formula is used. Calculate the reference numbers of the low brightness frame and the high brightness frame, then the brightness and brightness The value is the reference brightness value of the low brightness frame and the high brightness frame; and The linear interpolation of the values ​​is used as the threshold T1 to distinguish the brightness of high and low brightness frames Traverse all the brightness values ​​after filtering, and determine whether two consecutive values ​​are on both sides of the threshold T: If the previous value is less than the threshold T and the next value is greater than the threshold T, it means that the line between the two consecutive values ​​and the horizontal line where the threshold T is located have an intersection, and the intersection is the starting position of the left side of a peak; If the previous value is greater than the threshold T and the next value is less than the threshold T, it also means that the line between the two values ​​and the horizontal line where the threshold is located have an intersection, but the intersection is the end position of the right side of a peak; If the two consecutive values ​​are both greater than or less than the threshold T, it means that they are on the peak or outside the peak; In this way, the starting and ending positions of each peak are determined, and the adjacent peaks end 前 , peak start, peak end 后 The interval between the three numbers is a transition from a low brightness frame to a high brightness frame, that is, the interval [peak end 前 , the peak ends 后] is a section of low luminance frame sequence to high luminance frame sequence jump.

[0010] In step five, the section is evenly divided into 17 parts, the first 6 parts are low luminance frame fuzzy section, the last 11 parts are high luminance frame fuzzy section, the maximum value in each section is taken as the luminance reference of each frame, recorded as sequence {low1, low2…low6} and sequence {high1, high2…high 11}; remove the first and last two frames in the low luminance frame sequence, take {low2, low3, low4, low5} to calculate the average as the low luminance frame luminance reference, recorded as Y 低 ; remove the first and last 4 frames in the high luminance frame, take {high3, high4…high9} to calculate the average as the high luminance frame luminance reference, recorded as Y 高 ; similarly, linear interpolation is used to calculate the threshold T2 that distinguishes high and low luminance frames: The original data in the section is traversed, and it is judged whether the two values are on the two sides of T2, at this time the first peak start is found first, and then the recording is started, and the sequence number of the peak start and the peak end is recorded in the form of matching pairs, { (peak start 1, peak end 1), (peak start 2, peak end 2)…(peak start n , peak end n )}.

[0011] In step six, first calculate the width of each group of paired peaks, use peak end minus peak start to calculate the width of each peak, get sequence {peak width 1, peak width 2…peak width n}; first judge whether the width of each waveform is consistent to evaluate whether the waveforms are regular, if the waveforms are regular, support accurate solution, if the waveforms are irregular, do not support: use the standard deviation and mean of the peak width to judge whether the waveform is regular, when the value obtained by dividing the standard deviation by one fourth of the mean is less than 1, it is considered regular, otherwise it is considered irregular, that is, the evaluation function is: When f(peak width)<1, it is considered regular, and accurate processing is performed, and the maximum value in each peak section is counted separately as the luminance value of the current peak; in addition, the number of peaks needs to be counted, because in some cases there may be more than one peak in a frame, and the number of peaks is divided by the number of high luminance frames to estimate how many peaks there are in a frame: After getting the number of peaks C in each frame, the maximum value in the first C peaks is counted as the luminance of the first high luminance frame, recorded as V 1st , the subsequent peaks are also counted every C maximum value, and the average of these subsequent maximum values is calculated, recorded as V stable , using Y 低 in the fuzzy analysis result in step five as the estimate of the low luminance frame, recorded as V start , then the final evaluation of the OD compensation effect is recorded as RT, When RT is less than 1, it is considered that the current OD compensation effect is under compensation, and when RT is greater than 1, it is considered that the current OD compensation effect is over compensation. After the accurate processing is completed, it directly enters step seven.

[0012] In step six, the fuzzy result is calibrated, and the calibrated fuzzy result is used as the judgment standard for judging under compensation or over compensation. The main work of calibration is to determine the demarcation of low brightness frames and high brightness frames. The specific method is to start from the intervals divided by the original fuzzy processing according to the frame number, use a total of 17 frames, 6 low brightness frames and 11 high brightness frames as test scenes, take the 6th and 7th intervals in the 17 intervals divided in the fuzzy processing, and arrange them in order to obtain a sequence {a1, a2…a n}; the sequence is divided into n-1 combinations, and each combination is divided into two groups in order. From the combination {a1} {a2, a3…a n}, to the combination {a1, a2…a n-1} {a n}, the standard deviations of the two groups of each combination are calculated and recorded as std1 and std2. When the sum of std1 and std2 of a certain combination is the smallest, it is considered that the demarcation line of the left and right groups is the accurate demarcation line of the low brightness frames and the high brightness frames. The brightness data of an interval length on the right side from the demarcation line is taken, and the maximum value thereof is taken as the brightness of the first high brightness frame and recorded as V 1st . Y 低 in the fuzzy analysis result in step five is used as the estimation of the low brightness frame and recorded as V start . Y 高 in the fuzzy analysis result in step five is used as the estimation of the high brightness frame and recorded as V stable . The result of evaluating the OD compensation effect is recorded as RT When RT is less than 1, it is considered that the current OD compensation effect is under compensation, and when RT is greater than 1, it is considered that the current OD compensation effect is over compensation. After the fuzzy processing calibration is completed, it enters step seven. BRIEF DESCRIPTION OF DRAWINGS

[0013] Figure 1 The flowchart of the present application is shown. Figure 2 The brightness broken line graph obtained by the embodiment of the present application is shown. Figure 3 The broken line graph after smoothing of the embodiment of the present application is shown. Figure 4 The threshold value and peak interval of the embodiment of the present application are shown. Figure 5 The high brightness frame accurately measured by the embodiment of the present application is shown. DETAILED DESCRIPTION

[0014] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0015] See Figures 1-5 The present invention provides a panel overdrive automatic debugging method based on brightness sampling data, comprising the following steps: Step 1: Configure the test scenario and set the number of low-voltage frames and high-voltage frames; Step 2: Input low voltage value, high voltage value, OD compensation value, and measure the test scene; Step 3: Smoothing the measurement results; Step 4: Analyze the smoothing results to obtain the interval; Step 5: Fuzzy analysis of original data within the interval; Step 6: Try to perform precise analysis. If successful, directly obtain the RT value. If failed, calibrate the fuzzy analysis result to obtain the RT value. Step 7: Binary search for possible OD compensation values. If they exist, update the OD compensation value and return to step 2. If they do not exist, proceed to the next step. Step 8. Record the optimal OD compensation value under the current voltage combination according to the RT value; Step 9: Determine whether there is any unmeasured voltage combination. If so, update the voltage combination and return to step 2. If not, end the measurement.

[0016] In step 1, an actual test scene is formed by alternating 6 low-brightness frames and 11 high-brightness frames based on the effect and time. In each test scene, only monochrome sub-pixels are lit, that is, only one type of R, G, and B sub-pixels is lit at a time.

[0017] In step 2, input the voltage parameters of the low brightness frame, the voltage parameters of the high brightness frame, and the OD compensation value. This compensation value acts on the voltage and is only effective in the first two frames when the voltage changes significantly, causing the brightness to change from dark to bright. Use the measuring instrument to collect the brightness information of the test scene at the highest frequency. If the high and low voltage parameter combination is measured for the first time, the OD compensation value is reset to the starting value of 0. Depending on the specifications of the measuring instrument and the acquisition time, several brightness values ​​will be obtained. According to the actual measurement, the brightness line chart obtained by connecting the first 2000 brightness values ​​is shown as follows Figure 2 shown.

[0018] In step three, the brightness data is smoothed. Mean filtering or Gaussian filtering can be used to process the one-dimensional brightness information, such asFigure 3 As shown in the figure, the mean filter is directly used to process the brightness value, replacing the mean of the surrounding K values ​​including itself. The calculation result is shown in the figure. This is done to separate the high and low frame sequences of a group.

[0019] In step 4, after obtaining the filtering results, the brightness values ​​of the filtering results are sorted from small to large, and the values ​​at the 5% position and the 95% position are taken as the brightness references of the low brightness frame and the high brightness frame respectively, that is, a total of N brightness values, these N values ​​are sorted to obtain a sequence from small to large {brightness 1, brightness 2, brightness 3...brightness N}, and the formula is used. Calculate the reference numbers of the low-brightness frame and the high-brightness frame, then the brightness and brightness The value is the reference brightness value of the low brightness frame and the high brightness frame; and The linear interpolation of the values ​​is used as the threshold T1 to distinguish the brightness of high and low brightness frames Traverse all the brightness values ​​after filtering, and determine whether two consecutive values ​​are on both sides of the threshold T: If the previous value is less than the threshold T and the next value is greater than the threshold T, it means that the line between the two consecutive values ​​and the horizontal line where the threshold T is located have an intersection, and the intersection is the left starting position of a peak; If the previous value is greater than the threshold T and the next value is less than the threshold T, it also means that the line between the two values ​​and the horizontal line where the threshold is located have an intersection, but the intersection is the right ending position of a peak; If the two consecutive values ​​are both greater than or less than the threshold T, it means that they are on the peak or outside the peak; What we need to get now is the starting and ending positions of each peak, so as to judge the starting and ending positions of each peak, and the adjacent peak ends. 前 , peak start, peak end 后 The interval between the three numbers is a transition from a low brightness frame to a high brightness frame, that is, the interval [peak end 前 , the peak ends 后 ] is an interval where the low brightness frame sequence jumps to the high brightness frame sequence, such as Figure 4 shown.

[0020] After determining the interval where the continuous low-brightness frame sequence jumps to the high-brightness frame sequence from the above steps, the original data of the interval is analyzed and processed. First, blur processing is performed to obtain an approximate result, and the interval is evenly divided into several intervals. Because the embodiment uses 6 frames of low voltage and 11 frames of high voltage, the interval is evenly divided into 17 parts, the first 6 parts are used as low-brightness frame blur intervals, and the last 11 parts are used as high-brightness frame blur intervals. The maximum value in each interval is taken as the brightness reference of each frame, recorded as the sequence {low 1, low 2... low 6} and the sequence {high 1, high 2... high 11}; the low brightness frame sequence is removed from the first and last two frames, and the average of {low2, low3, low4, low5} is calculated as the low brightness frame brightness reference, denoted as Y 低 ; the high brightness frame is removed from the first and last four frames, and the average of {high3, high4…high9} is calculated as the high brightness frame brightness reference, denoted as Y 高 ; the threshold T2 distinguishing the high and low brightness frames is calculated using linear interpolation: The original data in the interval is traversed to determine whether the two values are on the two sides of T2. At this time, the first peak start is found before recording, and the sequence numbers of the peak start and the peak end are recorded in the form of a matching pair, { (peak start1, peak end1), (peak start2, peak end2)…(peak start n , peak end n )}.

[0021] After obtaining the sequence of peak and valley pairs, accurate processing is attempted. First, the width of each group of paired peaks is calculated, and the width of each peak is calculated by subtracting the peak start from the peak end, obtaining the sequence {peak width1, peak width2…peak width n}. First, it is judged whether the width of each wave form is consistent to evaluate whether the wave form is regular. If the wave form is regular, accurate solving is supported, and if the wave form is irregular, it is not supported. The standard deviation and mean of the peak width are used to judge whether the wave form is regular. When the value obtained by dividing the standard deviation by one-fourth of the mean is less than 1, it is considered regular, otherwise it is considered irregular, that is, the evaluation function is: When f(peak width) <1, it is considered regular, and accurate processing is performed. The maximum value in each peak interval is counted as the brightness value of the current peak. In addition, the number of peaks needs to be counted, because more than one peak may appear in a frame under certain circumstances. The number of peaks is divided by the number of high brightness frames to estimate how many peaks there are in a frame: After obtaining the number of peaks C in each frame, the maximum value in the first C peaks is counted as the brightness of the first high brightness frame, denoted as V 1st , and the maximum value in the subsequent peaks is also counted every C, and the average of these subsequent maximum values is calculated, denoted as V stable , Y 低 in the fuzzy analysis result in step five is used as the estimate of the low brightness frame, denoted as V start , and the final evaluation result of the OD compensation effect is denoted as RT, When RT is less than 1, it is considered that the current OD compensation effect is under-compensation, and when RT is greater than 1, it is considered that the current OD compensation effect is over-compensation. After accurate processing, step seven is directly entered.

[0022] In step six, if the accurate processing fails, it is considered that the current waveform is irregular and the compensation effect cannot be accurately estimated. An RT value can only be approximated by calibrating the blur result. The blur result is calibrated and the calibrated blur result is used as the judgment standard for under-compensation or over-compensation. The main task of the calibration is to determine the boundary between the low-brightness frame and the high-brightness frame. The specific method is to start with the intervals divided by the original blur processing according to the number of frames. In the embodiment, a total of 17 frames, 6 low-brightness frames, and 11 high-brightness frames are used as test scenes. The 6th and 7th intervals of the 17 intervals divided during the blur processing are taken and arranged in order to obtain a sequence {a1, a2…a n}; Divide the sequence into n-1 combinations, and each combination divides the sequence into two groups in order, starting from the combination {a1}{a2, a3…a n}, to the combination {a1, a2…a n-1}{a n}, calculate the standard deviation of the two groups for each combination, record them as std1 and std2, when the sum of std1 and std2 of a combination is the smallest, then the dividing line between the left and right groups of the combination is considered to be the accurate dividing line between the low brightness frame and the high brightness frame, take the brightness data of an interval length on the right side of the dividing line, and take the maximum value as the brightness of the first high brightness frame, record it as V 1st , using the Y in the fuzzy analysis result in step 5 低 As an estimate of the low-brightness frame, denoted as V start , using the Y in the fuzzy analysis result in step 5 高 As the estimate of the high brightness frame, V stable , then the final result of evaluating OD compensation effect is recorded as RT When RT is less than 1, the current OD compensation effect is considered to be under-compensation. When RT is greater than 1, the current OD compensation effect is considered to be over-compensation. After the fuzzy processing calibration is completed, step seven is entered.

[0023] After obtaining the precise result or the calibrated fuzzy result, a binary search is performed within the compensation value range based on the relationship between the RT value of the evaluation function and 1. If a better OD compensation value is still possible, the search is continued, the new OD compensation value is updated, and the process returns to step 2. If no better OD compensation value candidates exist, the process proceeds to the next step.

[0024] If there are still unmeasured voltage combinations, switch to the next voltage group and return to step 2 for measurement.

[0025] If all voltage combinations have been measured, the measurement ends.

[0026] While embodiments of the application have been shown and described, it is to be understood that the embodiments described are merely exemplary of the principles and application of the present application. Numerous modifications and adaptions can be effected without departing from the spirit and scope of the present application, which is not limited to the exact construction and arrangement described. It is to be understood that all related terms not specifically defined in the specification shall be interpreted in accordance with 37 C.F.R. § 1.822.

Claims

1. A panel overdrive automatic debugging method based on brightness sampling data, characterized by: The following steps are involved: Step 1: Configure the test scenario and set the number of low-voltage frames and high-voltage frames; Step 2: Input low voltage value, high voltage value, OD compensation value, and measure the test scene; Step 3: Smoothing the measurement results; Step 4: Analyze the smoothing results to obtain the interval; Step 5: Fuzzy analysis of original data within the interval; Step 6: Try to perform precise analysis. If successful, get the RT value directly. If it fails, the fuzzy analysis results are calibrated to obtain the RT value; Step 7: Binary search for possible OD compensation values. If they exist, update the OD compensation value and return to step 2. If it does not exist, go to the next step; Step 8. Record the optimal OD compensation value under the current voltage combination according to the RT value; Step 9: Determine whether there is any unmeasured voltage combination. If so, update the voltage combination and return to step 2. If not, end the measurement.

2. The panel overdrive automatic debugging method based on brightness sampling data according to claim 1, characterized in that: In step 1, an actual test scene is formed by alternating 6 low-brightness frames and 11 high-brightness frames based on the effect and time. In each test scene, only monochrome sub-pixels are lit, that is, only one type of R, G, and B sub-pixels is lit at a time.

3. The panel overdrive automatic debugging method based on brightness sampling data according to claim 1, characterized in that: In step 2, the OD compensation value is applied to the voltage and is effective only in the first two frames after a significant voltage change causes the brightness to change from dark to bright. The brightness information of the test scene is collected at the highest frequency using a measuring instrument. If the high and low voltage parameter combination is measured for the first time, the OD compensation value is reset to the starting value of 0.

4. The panel overdrive automatic debugging method based on brightness sampling data according to claim 1, characterized in that: In step three, the one-dimensional brightness information is processed using mean filtering or Gaussian filtering.

5. The panel overdrive automatic debugging method based on brightness sampling data according to claim 4, characterized in that: In step 4, after obtaining the filtering results, the brightness values ​​of the filtering results are sorted from small to large, and the values ​​at the 5% position and the 95% position are taken as the brightness references of the low brightness frame and the high brightness frame respectively, that is, a total of N brightness values, these N values ​​are sorted to obtain a sequence from small to large {brightness 1, brightness 2, brightness 3...brightness N}, and the formula is used. Calculate the reference numbers of the low brightness frame and the high brightness frame, then the brightness and brightness The value is the reference brightness value of the low brightness frame and the high brightness frame; and The linear interpolation of the values ​​is used as the threshold T1 to distinguish the brightness of high and low brightness frames Traverse all the brightness values ​​after filtering, and determine whether two consecutive values ​​are on both sides of the threshold T: If the previous value is less than the threshold T and the next value is greater than the threshold T, it means that the line between the two consecutive values ​​and the horizontal line where the threshold T is located have an intersection, and the intersection is the starting position of the left side of a peak; If the previous value is greater than the threshold T and the next value is less than the threshold T, it also means that the line between the two values ​​and the horizontal line where the threshold is located have an intersection, but the intersection is the end position of the right side of a peak; If the two consecutive values ​​are both greater than or less than the threshold T, it means that they are on the peak or outside the peak; In this way, the starting and ending positions of each peak are determined, and the adjacent peaks end 前 , peak start, peak end 后 The interval between the three numbers is a transition from a low brightness frame to a high brightness frame, that is, the interval [peak end 前 , the peak ends 后 ] is an interval where the low-brightness frame sequence jumps to the high-brightness frame sequence.

6. The panel overdrive automatic debugging method based on brightness sampling data according to claim 5, characterized in that: In step 5, the interval is divided into 17 parts, the first 6 parts are used as low brightness frame blur intervals, and the last 11 parts are used as high brightness frame blur intervals. The maximum value in each interval is taken as the brightness reference of each frame, recorded as the sequence {low 1, low 2...low 6} and the sequence {high 1, high 2...high 11 }; Remove the first and last two frames from the low-brightness frame sequence, take {low 2, low 3, low 4, low 5} and calculate the average value as the low-brightness frame brightness reference, recorded as Y 低 ; Remove the first and last 4 frames of the high brightness frame, take {high 3, high 4...high 9} and calculate the average value as the brightness reference of the high brightness frame, recorded as Y 高 ; Also use linear interpolation to calculate the threshold T2 for distinguishing high and low brightness frames: Traverse the original data in the interval and determine whether the two values ​​are on both sides of T2. At this time, find the start of the first peak before starting to record. The sequence numbers of the recorded peak start and peak end are recorded in the form of matching pairs, {(peak start 1, peak end 1), (peak start 2, peak end 2)…(peak start n , the peak ends n )}.

7. The panel overdrive automatic debugging method based on brightness sampling data according to claim 6, characterized in that: In step 6, the width of each pair of peaks is first calculated by subtracting the peak start from the peak end to calculate the width of each peak, and the sequence {peak width 1, peak width 2...peak width n First, determine whether the width of each waveform is consistent to evaluate whether these waveforms are regular. If the waveform is regular, it supports accurate solution, but if the waveform is irregular, it does not support it: Use the standard deviation and mean of the peak width to judge whether the waveform is regular. If the value obtained by dividing the standard deviation by one-quarter of the mean is less than 1, it is considered regular, otherwise it is considered irregular. The evaluation function is: When f (peak width) < 1, it is considered a regularity and accurate processing is performed. The maximum value of each peak interval is counted as the brightness value of the current peak. In addition, the number of peaks needs to be counted, because in some cases, a frame may have more than one peak. The number of peaks in a frame is estimated by dividing the number of peaks by the number of high-brightness frames: After obtaining the number of peaks C per frame, the maximum value among the first C peaks is counted as the brightness of the first high-brightness frame, recorded as V 1st , the subsequent peaks are also counted every C maximum values, and the mean of these subsequent maximum values ​​is calculated and recorded as V stable , using the Y in the fuzzy analysis result in step 5 低 As an estimate of the low-brightness frame, denoted as V start , then the final result of evaluating OD compensation effect is recorded as RT, When RT is less than 1, the current OD compensation effect is considered to be under-compensation. When RT is greater than 1, the current OD compensation effect is considered to be over-compensation. After completing the precise processing, the process directly proceeds to step seven.

8. The panel overdrive automatic debugging method based on brightness sampling data according to claim 7, characterized in that: In step six, the blur result is calibrated and used as the criterion for judging under-compensation or over-compensation. The main task of the calibration is to determine the boundary between low-brightness frames and high-brightness frames. The specific method is to start with the intervals divided by the original blur processing according to the number of frames. A total of 17 frames, 6 low-brightness frames and 11 high-brightness frames are used as test scenes. The 6th and 7th intervals of the 17 intervals divided by the blur processing are taken and arranged in order to obtain the sequence {a1, a2…a n }; Divide the sequence into n-1 combinations, and each combination divides the sequence into two groups in order, starting from the combination {a1}{a2, a3…a n }, to the combination {a1, a2…a n-1 }{a n }, calculate the standard deviation of the two groups for each combination, record them as std1 and std2, when the sum of std1 and std2 of a combination is the smallest, then the dividing line between the left and right groups of the combination is considered to be the accurate dividing line between the low brightness frame and the high brightness frame, take the brightness data of an interval length on the right side of the dividing line, and take the maximum value as the brightness of the first high brightness frame, record it as V 1st , using the Y in the fuzzy analysis result in step 5 低 As an estimate of the low-brightness frame, denoted as V start , using the Y in the fuzzy analysis result in step 5 高 As the estimate of the high brightness frame, V stable , then the final result of evaluating OD compensation effect is recorded as RT When RT is less than 1, the current OD compensation effect is considered to be under-compensation. When RT is greater than 1, the current OD compensation effect is considered to be over-compensation. After the fuzzy processing calibration is completed, step seven is entered.

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