WO2020113823A1 - 补偿表的压缩方法 - Google Patents

补偿表的压缩方法 Download PDF

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Publication number
WO2020113823A1
WO2020113823A1 PCT/CN2019/075505 CN2019075505W WO2020113823A1 WO 2020113823 A1 WO2020113823 A1 WO 2020113823A1 CN 2019075505 W CN2019075505 W CN 2019075505W WO 2020113823 A1 WO2020113823 A1 WO 2020113823A1
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Prior art keywords
compensation table
original
coefficient
compressed
compression
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PCT/CN2019/075505
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English (en)
French (fr)
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邓宇帆
程琳
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深圳市华星光电半导体显示技术有限公司
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Publication of WO2020113823A1 publication Critical patent/WO2020113823A1/zh

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    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
    • G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
    • G09G3/36—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using liquid crystals
    • G09G3/3607—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using liquid crystals for displaying colours or for displaying grey scales with a specific pixel layout, e.g. using sub-pixels
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00—Control of display operating conditions
    • G09G2320/02—Improving the quality of display appearance
    • G09G2320/0271—Adjustment of the gradation levels within the range of the gradation scale, e.g. by redistribution or clipping

Definitions

  • the present invention relates to the field of display technology, and in particular, to a compression table compression method.
  • the flat display device has many advantages such as a thin body, power saving, no radiation, etc., and is widely used.
  • the existing flat display device mainly includes a liquid crystal display device (Liquid Crystal Display (LCD) and Organic Light Emitting Display (OLED).
  • LCD Liquid Crystal Display
  • OLED Organic Light Emitting Display
  • liquid crystal display devices which include a liquid crystal display panel and a backlight module.
  • a liquid crystal display panel is composed of a color filter (CF) substrate, a thin film transistor (TFT) array substrate, a liquid crystal (LC) and a sealant sandwiched between the color filter substrate and the thin film transistor array substrate Frame (Sealant) composition.
  • the working principle of the liquid crystal display panel is to place liquid crystal molecules in two parallel glass substrates. There are many vertical and horizontal small wires between the two glass substrates.
  • the liquid crystal molecules can be controlled to change the direction by energizing or not, and the light of the backlight module Refracted to produce a picture.
  • An OLED display device generally includes a substrate, an anode provided on the substrate, an organic light emitting layer provided on the anode, an electron transport layer provided on the organic light emitting layer, and a cathode provided on the electron transport layer.
  • the hole from the anode and the electron from the cathode are emitted to the organic light-emitting layer, and these electrons and holes are combined to generate an excited electron-hole pair, and the excited electron-hole pair is converted from the excited state to the ground state Achieve glow.
  • Mura uneven brightness
  • the prior art usually uses the Demura (eliminates uneven brightness) technology to uniformly compensate the brightness of each pixel of the display device.
  • a compensation table is used to store the compensation information of each pixel of the display device.
  • the compensation table stores In order to achieve the compensated grayscale value that each pixel needs to adjust to achieve the ideal brightness corresponding to each target grayscale value, the compensation table is stored in the driving system of the display device.
  • the existing compensation table occupies a large amount of memory. If you compress the compensation table, you can save the hardware resources of the display device and reduce the data transmission time. However, the distortion caused by the compression will affect the effect of Demura and reduce the display device’s performance. Display quality.
  • An object of the present invention is to provide a processing method of a compensation table, which can effectively reduce the deviation of the compensation table compression while completing the compression of the compensation table.
  • the present invention provides a processing method of a compensation table, including the following steps:
  • Step S1 Provide an original compensation table, the original compensation table including multiple compensation gray-scale values corresponding to multiple pixel characterization parameters, respectively;
  • Step S2 Provide the initial deviation coefficient and the initial compression quantization coefficient; use the initial deviation coefficient as the current deviation coefficient;
  • Step S3 Use the initial compressed quantization coefficient as the current compressed quantization coefficient
  • Step S4 Use the current compression quantization coefficient to compress the original compensation table into the first compressed file
  • Step S5 Decompress the first compressed file to obtain multiple compressed grayscale values corresponding to multiple pixel characterization parameters respectively, and subtract the compensated grayscale values and compressed grayscale values corresponding to the multiple pixel characterization parameters to obtain Multiple original residuals corresponding to multiple pixel characterization parameters;
  • Step S6 Quantize multiple original residuals using the current deviation coefficients to obtain multiple quantized residuals corresponding to multiple pixel characterization parameters, respectively;
  • Step S7 Store multiple quantized residuals with a sparse matrix to obtain a second compressed file
  • Step S8 Determine whether the ratio of the sum of the data volume of the first compressed file and the second compressed file to the data volume of the original compensation table is less than or equal to the preset compression ratio, if it is, then complete the compression, otherwise judge the current compression quantization coefficient and the preset Relationship of the first threshold, if the current compression quantization coefficient is less than the preset first threshold, the current compression coefficient is increased by the preset first iteration value and returns to step S4, otherwise the current deviation coefficient is increased by the preset second iteration value And return to step S3.
  • the step S6 specifically includes:
  • Step S61 Judging the relationship between multiple original residuals and 0, if the original residual is greater than or equal to 0, add the original residual to the deviation threshold positively related to the current deviation coefficient, otherwise subtract the deviation from the original residual Threshold value to obtain multiple processing residuals corresponding to multiple pixel characterization parameters;
  • Step S62 Divide each processing residual by n times the deviation threshold and perform rounding processing to obtain multiple quantized residuals respectively corresponding to multiple pixel characterization parameters, where n is a positive number.
  • the original compensation table corresponds to a target gray scale value.
  • the deviation threshold is equal to the product of the current deviation coefficient and the target gray scale value.
  • n 2.
  • the step S7 is specifically: recording non-zero quantized residuals and pixel description parameters corresponding to non-zero quantized residuals, so as to obtain a second compressed file.
  • the processing method of the compensation table further includes step S9, step S9, decompressing the first compressed file to obtain multiple compressed grayscale values respectively corresponding to multiple pixel characterization parameters, and quantizing each non-zero value in the second compressed file
  • the residual is multiplied by n times the deviation threshold at the time of compression to obtain the corresponding inverse quantization value.
  • Each inverse quantization value corresponds to a pixel characterization parameter.
  • the first compressed file will be decompressed to obtain multiple compressed grayscale values.
  • the corresponding pixel characterization parameter has a corresponding inverse quantization value, and the compressed grayscale value is added to the corresponding inverse quantization value to obtain a decompressed compensation table.
  • the pixel characterization parameter is pixel coordinates.
  • the pixel coordinates include the horizontal coordinate of the pixel and the vertical coordinate of the pixel.
  • the range of the initial deviation coefficient is 0.1-0.15.
  • the invention also provides a compensation table processing method, including the following steps:
  • Step S1 Provide an original compensation table, the original compensation table including multiple compensation gray-scale values corresponding to multiple pixel characterization parameters, respectively;
  • Step S2 Provide the initial deviation coefficient and the initial compression quantization coefficient; use the initial deviation coefficient as the current deviation coefficient;
  • Step S3 Use the initial compressed quantization coefficient as the current compressed quantization coefficient
  • Step S4 Use the current compression quantization coefficient to compress the original compensation table into the first compressed file
  • Step S5 Decompress the first compressed file to obtain multiple compressed grayscale values corresponding to multiple pixel characterization parameters respectively, and subtract the compensated grayscale values and compressed grayscale values corresponding to the multiple pixel characterization parameters to obtain Multiple original residuals corresponding to multiple pixel characterization parameters;
  • Step S6 Quantize multiple original residuals using the current deviation coefficients to obtain multiple quantized residuals corresponding to multiple pixel characterization parameters, respectively;
  • Step S7 Store multiple quantized residuals with a sparse matrix to obtain a second compressed file
  • Step S8 Determine whether the ratio of the sum of the data amount of the first compressed file and the second compressed file to the data amount of the original compensation table is less than or equal to the preset compression ratio, if it is, then complete the compression, otherwise judge the current compression quantization coefficient and the preset Relationship of the first threshold, if the current compression quantization coefficient is less than the preset first threshold, the current compression coefficient is increased by the preset first iteration value and returns to step S4, otherwise the current deviation coefficient is increased by the preset second iteration value And return to step S3;
  • the pixel characterization parameter is pixel coordinates
  • the range of the initial deviation coefficient is 0.1-0.15.
  • the original compensation table of the present invention is compressed into the first compressed file by using compression and quantization coefficients, the first compressed file is decompressed to obtain multiple compressed grayscale values, and the multiple compensated grayscales The order value is subtracted from the corresponding compressed gray-scale value to obtain multiple original residuals, the deviation coefficient is used to quantize the multiple original residuals to obtain multiple quantized residuals, and the sparse matrix is used to store multiple quantized residuals to obtain the second Compressed files can effectively reduce the deviation of the compensation table compression while improving the compensation table, improve the compression quality, eliminate the distortion caused by the compression deviation and affect the effect of Demura, and improve the display quality of the display device.
  • FIG. 1 is a flowchart of the compensation table processing method of the present invention.
  • the present invention provides a compensation table processing method, including the following steps:
  • step S1 Providing an original compensation table, the original compensation table including a plurality of compensation gray scale values corresponding to a plurality of pixel characterization parameters, respectively.
  • the original compensation table corresponds to a target gray scale value.
  • the pixel characterization parameter is pixel coordinates.
  • the pixel coordinates include the horizontal coordinate of the pixel and the vertical coordinate of the pixel.
  • step S2 Provide initial deviation coefficient and initial compression quantization coefficient. Take the initial deviation coefficient as the current deviation coefficient.
  • the range of the initial deviation coefficient is 0.1-0.15 .
  • step S3 Use the initial compressed quantization coefficient as the current compressed quantization coefficient.
  • step S4 Compress the original compensation table into the first compressed file using the current compression and quantization coefficient.
  • step S5 Decompress the first compressed file to obtain multiple compressed grayscale values corresponding to multiple pixel characterization parameters respectively, and subtract the compensated grayscale values and compressed grayscale values corresponding to the multiple pixel characterization parameters to obtain multiple Multiple original residuals corresponding to pixel characterization parameters.
  • step S6 Quantizing multiple original residuals using the current deviation coefficients to obtain multiple quantized residuals corresponding to multiple pixel characterization parameters, respectively.
  • steps S6 This includes:
  • step S61 Determine multiple original residuals and 0 Relationship, if the original residual is greater than or equal to 0 Then, the original residual is added to a deviation threshold positively related to the current deviation coefficient, otherwise, the original residual is subtracted from the deviation threshold to obtain multiple processing residuals respectively corresponding to multiple pixel characterization parameters.
  • step S62 Dividing each processing residual by n Times the deviation threshold and performs rounding processing to obtain multiple quantized residuals corresponding to multiple pixel characterization parameters, where, n Is a positive number.
  • the deviation threshold is equal to the product of the current deviation coefficient and the target gray scale value.
  • n for 2 .
  • step S7 Store multiple quantized residuals with a sparse matrix to obtain a second compressed file.
  • the steps S7 Specifically, the non-zero quantization residual and the pixel description parameter corresponding to the non-zero quantization residual are recorded, thereby obtaining a second compressed file.
  • step S8 ⁇ Determine whether the ratio of the sum of the data volume of the first compressed file and the second compressed file to the data volume of the original compensation table is less than or equal to the preset compression ratio, if it is, then complete the compression, otherwise judge the current compression quantization coefficient and the preset first Threshold relationship, if the current compression quantization coefficient is less than the preset first threshold, the current compression coefficient is increased by the preset first iteration value and returns to the step S4 , Otherwise increase the current deviation coefficient by the preset second iteration value and return to step S3 . This completes the compression of the original compensation table.
  • the processing method of the compensation table of the present invention further includes steps S9 ,step S9 2. Decompress the first compressed file to obtain multiple compressed gray-scale values corresponding to multiple pixel characterization parameters respectively, and compare the non-zero quantized residuals in the second compressed file with the deviation threshold when the compression is completed n Multiply multiply to get the corresponding inverse quantization value, each inverse quantization value corresponds to a pixel characterization parameter, and the first compressed file will be decompressed to obtain the corresponding pixel inversion parameter value among the multiple compressed grayscale values. The compressed grayscale value of is added to the corresponding inverse quantization value to obtain the decompressed compensation table.
  • the target gray scale value corresponding to the original compensation table is 96
  • the pixel compensation parameter in the original compensation table is the pixel coordinate ( 36,89 ) And pixel coordinates ( 77,53 )
  • the corresponding compensation gray scale value is 92 , 85
  • the initial deviation coefficient is 0.1
  • the corresponding compressed grayscale values are 91,85 .
  • the pixel coordinates ( 36,89 ) And pixel coordinates ( 77,53 ) The corresponding compensated grayscale value and the compressed grayscale value are subtracted to obtain the pixel coordinates ( 36,89 ) And pixel coordinates ( 77,53 )
  • the corresponding original residual 1 , 15 , And pixel coordinates ( 36,89 )
  • the corresponding original residual is 1 more than the 0 , Then add it as 0.1
  • the initial deviation coefficient is 96
  • each processing residual is divided by 2 Times the product of the initial deviation coefficient and the target grayscale value and rounds off to obtain the pixel coordinates ( 36,89 ) And pixel coordinates ( 77,53 )
  • the corresponding quantized residuals are 0 , 1 .
  • the ratio of the data amount of the first compressed file to the data amount of the original compensation table is 26%
  • the ratio of the data volume of the second compressed file to the data volume of the original compensation table is 2% , That is, the ratio of the sum of the data volume of the first compressed file and the second compressed file to the data volume of the original compensation table is 28%
  • Preset compression rate 30% The ratio of the sum of the data volume of the first compressed file and the second compressed file to the data volume of the original compensation table is less than the preset compression ratio, and the compression is completed at this time.
  • the pixel coordinates ( 36,89 ) The corresponding compressed gray scale value is 91 . Because the second compressed file does not have pixel coordinates ( 36,89 ) Corresponding to the quantized residuals, the pixel coordinates ( 36,89 ) The corresponding gray level of decompression is 91 , The difference between the corresponding compensation gray-scale value and 1 , And pixel coordinates ( 77,53 ) The corresponding compressed gray scale value is 70 , And the pixel coordinates in the second compressed file ( 77,53 ) The corresponding quantized residual is 1 , Then 1 The quantized residual and the initial deviation coefficient of the target gray scale value 2 The inverse quantization value obtained by multiplying the multiplication is 19.2 , The value of adding the compressed grayscale value and the corresponding inverse quantization value is 89.2 , And then rounded off, the pixel coordinates in the compensation table after final decompression ( 77,53 ) The corresponding gray level of decompression is 89 , The difference between the
  • the processing method of the compensation table of the present invention provides the initial deviation coefficient and the initial compression quantization coefficient.
  • the initial deviation coefficient is first used as the current deviation coefficient and the initial compression quantization coefficient is used as the current compression quantization coefficient.
  • the current compensation quantization coefficient is used to compress the original compensation table into The first compressed file, decompresses the first compressed file to obtain multiple compressed grayscale values corresponding to multiple pixel characterization parameters respectively, and subtracts the compensated grayscale value corresponding to the multiple pixel characterization parameters from the compressed grayscale value Multiple original residuals corresponding to multiple pixel characterization parameters respectively, using the current deviation coefficient to quantize the multiple original residuals to obtain multiple quantization residuals corresponding to multiple pixel characterization parameters, respectively, and storing multiple Quantify the residuals to obtain the second compressed file, and determine whether the ratio of the sum of the data amount of the first compressed file and the second compressed file to the data amount of the original compensation table is less than or equal to the preset compression rate, if it is, then complete the compression, otherwise judge the current
  • the original compensation table is compressed into the first compressed file by using compression and quantization coefficients, and the first compressed file is decompressed to obtain multiple compressed gray levels, and the multiple compensated gray levels
  • the value is subtracted from the corresponding compressed gray-scale value to obtain multiple original residuals
  • the deviation coefficient is used to quantize the multiple original residuals to obtain multiple quantized residuals
  • the sparse matrix is used to store multiple quantized residuals to obtain the second compression File, which can effectively reduce the deviation of the compensation table compression, improve the quality of the compression, and eliminate the distortion caused by the compression deviation while completing the compression of the compensation table Demura
  • the effect of this has an impact, improving the display quality of the display device.

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Abstract

提供一种补偿表的处理方法。补偿表的处理方法中利用压缩量化系数将原始补偿表压缩为第一压缩文件，对第一压缩文件进行解压得到多个压缩灰阶值，将多个补偿灰阶值与对应的压缩灰阶值相减得到多个原始残差，利用偏差系数对多个原始残差进行量化处理得到多个量化残差，利用稀疏矩阵存储多个量化残差，得到第二压缩文件，能够在完成对补偿表进行压缩的同时，有效地降低补偿表压缩的偏差，提升压缩的质量，消除压缩偏差带来的失真对Demura的效果产生影响，提升显示装置的显示品质。

Description

补偿表的压缩方法 技术领域
本发明涉及显示技术领域，尤其涉及一种补偿表的压缩方法。
 背景技术
平面显示装置具有机身薄、省电、无辐射等众多优点，得到了广泛的应用。现有的平面显示装置主要包括液晶显示装置（Liquid Crystal Display，LCD）及有机发光二极管显示装置（Organic Light Emitting Display，OLED）。
现有市场上的液晶显示装置大部分为背光型液晶显示装置，其包括液晶显示面板及背光模组（backlight module）。通常液晶显示面板由彩膜（Color Filter，CF）基板、薄膜晶体管（Thin Film Transistor，TFT）阵列基板、夹于彩膜基板与薄膜晶体管阵列基板之间的液晶（Liquid Crystal，LC）及密封胶框（Sealant）组成。液晶显示面板的工作原理是在两片平行的玻璃基板当中放置液晶分子，两片玻璃基板中间有许多垂直和水平的细小电线，通过通电与否来控制液晶分子改变方向，将背光模组的光线折射出来产生画面。
OLED显示装置通常包括：基板、设于基板上的阳极、设于阳极上的有机发光层，设于有机发光层上的电子传输层、及设于电子传输层上的阴极。工作时向有机发光层发射来自阳极的空穴和来自阴极的电子，将这些电子和空穴组合产生激发性电子-空穴对，并将激发性电子-空穴对从受激态转换为基态实现发光。
在显示装置的生产过程中由于生产工艺原因经常会产生Mura（亮度不均），出现亮点或暗点，导致显示装置的显示品质降低。为了消除显示装置的Mura，现有技术通常会采用Demura（消除亮度不均）技术，将显示装置各像素的亮度补偿均匀，一般利用补偿表来存储显示装置各像素的补偿信息，补偿表存储有为了达到各个目标灰阶值所对应的理想亮度时各个像素需要调整到的补偿灰阶值，补偿表会存储在显示装置的驱动系统内。现有的补偿表所占的内存较大，若对补偿表进行压缩，则可以节省显示装置的硬件资源，并减少数据传输时间，但压缩带来的失真会影响Demura的效果，降低显示装置的显示品质。
 技术问题
本发明的目的在于提供一种补偿表的处理方法，能够在完成对补偿表进行压缩的同时，有效地降低补偿表压缩的偏差。
 技术解决方案
为实现上述目的，本发明提供一种补偿表的处理方法，包括如下步骤：
步骤S1、提供原始补偿表，所述原始补偿表包括分别与多个像素表征参数对应的多个补偿灰阶值；
步骤S2、提供初始偏差系数及初始压缩量化系数；将初始偏差系数作为当前偏差系数；
步骤S3、将初始压缩量化系数作为当前压缩量化系数；
步骤S4、利用当前压缩量化系数将原始补偿表压缩为第一压缩文件；
步骤S5、对第一压缩文件进行解压，得到分别与多个像素表征参数对应的多个压缩灰阶值，将多个像素表征参数对应的补偿灰阶值与压缩灰阶值相减得到分别与多个像素表征参数对应的多个原始残差；
步骤S6、利用当前偏差系数对多个原始残差进行量化处理得到分别与多个像素表征参数对应的多个量化残差；
步骤S7、用稀疏矩阵存储多个量化残差，得到第二压缩文件；
步骤S8、判断第一压缩文件及第二压缩文件的数据量之和与原始补偿表的数据量的比值是否小于等于预设压缩率，若是则完成压缩，否则判断当前压缩量化系数与预设的第一阈值的关系，若当前压缩量化系数小于预设的第一阈值，则将当前压缩系数增加预设的第一迭代值并返回步骤S4，否则将当前偏差系数增加预设的第二迭代值并返回步骤S3。
所述步骤S6具体包括：
步骤S61、判断多个原始残差与0的关系，若原始残差大于等于0则将该原始残差加上与当前偏差系数正相关的偏差阈值，否则将该原始残差减去所述偏差阈值，得到分别与多个像素表征参数对应的多个处理残差；
步骤S62、将每一处理残差除以n倍的所述偏差阈值并进行四舍五入处理，得到分别与多个像素表征参数对应的多个量化残差，其中，n为正数。
所述原始补偿表与一目标灰阶值对应。
所述偏差阈值等于当前偏差系数与所述目标灰阶值的乘积。
n为2。
所述步骤S7具体为：记录非零的量化残差及非零的量化残差对应的像素描述参数，从而得到第二压缩文件。
所述补偿表的处理方法还包括步骤S9、步骤S9、对第一压缩文件进行解压得到分别与多个像素表征参数对应的多个压缩灰阶值，将第二压缩文件中各个非零的量化残差与完成压缩时的偏差阈值的n倍相乘得到对应的反量化值，每一反量化值与一像素表征参数对应，将对第一压缩文件进行解压得到多个压缩灰阶值中所对应的像素表征参数有对应的反量化值的压缩灰阶值与对应的反量化值相加，得到解压后的补偿表。
所述像素表征参数为像素坐标。
所述像素坐标包括像素的横坐标及像素的纵坐标。
所述初始偏差系数的范围为0.1-0.15。
本发明还提供一种补偿表的处理方法，包括如下步骤：
步骤S1、提供原始补偿表，所述原始补偿表包括分别与多个像素表征参数对应的多个补偿灰阶值；
步骤S2、提供初始偏差系数及初始压缩量化系数；将初始偏差系数作为当前偏差系数；
步骤S3、将初始压缩量化系数作为当前压缩量化系数；
步骤S4、利用当前压缩量化系数将原始补偿表压缩为第一压缩文件；
步骤S5、对第一压缩文件进行解压，得到分别与多个像素表征参数对应的多个压缩灰阶值，将多个像素表征参数对应的补偿灰阶值与压缩灰阶值相减得到分别与多个像素表征参数对应的多个原始残差；
步骤S6、利用当前偏差系数对多个原始残差进行量化处理得到分别与多个像素表征参数对应的多个量化残差；
步骤S7、用稀疏矩阵存储多个量化残差，得到第二压缩文件；
步骤S8、判断第一压缩文件及第二压缩文件的数据量之和与原始补偿表的数据量的比值是否小于等于预设压缩率，若是则完成压缩，否则判断当前压缩量化系数与预设的第一阈值的关系，若当前压缩量化系数小于预设的第一阈值，则将当前压缩系数增加预设的第一迭代值并返回步骤S4，否则将当前偏差系数增加预设的第二迭代值并返回步骤S3；
所述像素表征参数为像素坐标；
所述初始偏差系数的范围为0.1-0.15。
 有益效果
本发明的有益效果：本发明的补偿表的处理方法中利用压缩量化系数将原始补偿表压缩为第一压缩文件，对第一压缩文件进行解压得到多个压缩灰阶值，将多个补偿灰阶值与对应的压缩灰阶值相减得到多个原始残差，利用偏差系数对多个原始残差进行量化处理得到多个量化残差，利用稀疏矩阵存储多个量化残差，得到第二压缩文件，能够在完成对补偿表进行压缩的同时，有效地降低补偿表压缩的偏差，提升压缩的质量，消除压缩偏差带来的失真对Demura的效果产生影响，提升显示装置的显示品质。
 附图说明
为了能更进一步了解本发明的特征以及技术内容，请参阅以下有关本发明的详细说明与附图，然而附图仅提供参考与说明用，并非用来对本发明加以限制。
附图中，
图1为本发明的补偿表的处理方法的流程图。
 本发明的实施方式
为更进一步阐述本发明所采取的技术手段及其效果，以下结合本发明的优选实施例及其附图进行详细描述。
请参阅图 1 ，本发明提供一种补偿表的处理方法，包括如下步骤：
步骤 S1 、提供原始补偿表，所述原始补偿表包括分别与多个像素表征参数对应的多个补偿灰阶值。
具体地，所述原始补偿表与一目标灰阶值对应。
具体地，所述像素表征参数为像素坐标。
所述像素坐标包括像素的横坐标及像素的纵坐标。
步骤 S2 、提供初始偏差系数及初始压缩量化系数。将初始偏差系数作为当前偏差系数。
具体地，所述初始偏差系数的范围为 0.1-0.15 。
步骤 S3 、将初始压缩量化系数作为当前压缩量化系数。
步骤 S4 、利用当前压缩量化系数将原始补偿表压缩为第一压缩文件。
步骤 S5 、对第一压缩文件进行解压，得到分别与多个像素表征参数对应的多个压缩灰阶值，将多个像素表征参数对应的补偿灰阶值与压缩灰阶值相减得到分别与多个像素表征参数对应的多个原始残差。
步骤 S6 、利用当前偏差系数对多个原始残差进行量化处理得到分别与多个像素表征参数对应的多个量化残差。
具体地，所述步骤 S6 具体包括：
步骤 S61 、判断多个原始残差与 0 的关系，若原始残差大于等于 0 则将该原始残差加上与当前偏差系数正相关的偏差阈值，否则将该原始残差减去所述偏差阈值，得到分别与多个像素表征参数对应的多个处理残差。
步骤 S62 、将每一处理残差除以 n 倍的所述偏差阈值并进行四舍五入处理，得到分别与多个像素表征参数对应的多个量化残差，其中， n 为正数。
进一步地，所述偏差阈值等于当前偏差系数与所述目标灰阶值的乘积。
优选地， n 为 2 。
步骤 S7 、用稀疏矩阵存储多个量化残差，得到第二压缩文件。
具体地，所述步骤 S7 具体为：记录非零的量化残差及非零的量化残差对应的像素描述参数，从而得到第二压缩文件。
步骤 S8 、判断第一压缩文件及第二压缩文件的数据量之和与原始补偿表的数据量的比值是否小于等于预设压缩率，若是则完成压缩，否则判断当前压缩量化系数与预设的第一阈值的关系，若当前压缩量化系数小于预设的第一阈值，则将当前压缩系数增加预设的第一迭代值并返回步骤 S4 ，否则将当前偏差系数增加预设的第二迭代值并返回步骤 S3 。至此完成原始补偿表的压缩。
当需要进行解压缩时，本发明的补偿表的处理方法还包括步骤 S9 、步骤 S9 、对第一压缩文件进行解压得到分别与多个像素表征参数对应的多个压缩灰阶值，将第二压缩文件中各个非零的量化残差与完成压缩时的偏差阈值的 n 倍相乘得到对应的反量化值，每一反量化值与一像素表征参数对应，将对第一压缩文件进行解压得到多个压缩灰阶值中所对应的像素表征参数有对应的反量化值的压缩灰阶值与对应的反量化值相加，得到解压后的补偿表。
举例来讲，在本发明的一实施例中，原始补偿表对应的目标灰阶值为 96 ，原始补偿表中与像素表征参数为像素坐标（ 36,89 ）及像素坐标（ 77,53 ）对应的补偿灰阶值为 92 、 85 ，初始偏差系数为 0.1 ，首先利用为初始压缩量化系数的当前压缩量化系数将原始补偿表压缩为第一压缩文件，对第一压缩文件进行解压，得到与像素坐标（ 36,89 ）及像素坐标（ 77,53 ）对应的压缩灰阶值分别为 91,85 。而后，将像素坐标（ 36,89 ）及像素坐标（ 77,53 ）对应的补偿灰阶值与压缩灰阶值相减得到分别与像素坐标（ 36,89 ）及像素坐标（ 77,53 ）对应的原始残差 1 、 15 ，与像素坐标（ 36,89 ）对应的原始残差为 1 大于 0 ，则将其加上为 0.1 的初始偏差系数与为 96 的目标灰阶值的乘积，得到处理残差为 10.6 ，而与像素坐标（ 77,53 ）对应的原始残差为 15 也大于 0 ，则将其加上为 0.1 的初始偏差系数 0.1 与为 96 的目标灰阶值的乘积，得到处理残差为 24.6 。随后，将每一处理残差除以 2 倍的初始偏差系数与目标灰阶值的乘积并进行四舍五入，得到分别与像素坐标（ 36,89 ）及像素坐标（ 77,53 ）对应的量化残差分别为 0 、 1 。之后记录像素坐标（ 77,53 ）及对应的为 1 的量化参量，而像素坐标（ 36,89 ）及其量化参量不记录，从而得到第二压缩文件，第一压缩文件的数据量与原始补偿表的数据量的比值为 26% ，第二压缩文件的数据量与原始补偿表的数据量的比值为 2% ，也即第一压缩文件及第二压缩文件的数据量之和与原始补偿表的数据量的比值为 28% ，预设压缩率为 30% ，第一压缩文件及第二压缩文件的数据量之和与原始补偿表的数据量的比值小于预设压缩率，此时完成压缩。解压时，像素坐标（ 36,89 ）对应的压缩灰阶值为 91 ，由于第二压缩文件中并没有与像素坐标（ 36,89 ）对应的量化残差，则最终解压后的补偿表中与像素坐标（ 36,89 ）对应的解压灰阶值为 91 ，对应的补偿灰阶值与其的差值为 1 ，而像素坐标（ 77,53 ）对应的压缩灰阶值为 70 ，第二压缩文件中与像素坐标（ 77,53 ）对应的量化残差为 1 ，则为 1 的量化残差与初始偏差系数与目标灰阶值的 2 倍相乘得到的反量化值为 19.2 ，将压缩灰阶值与对应的反量化值相加的值为 89.2 ，再进行四舍五入，则最终解压后的补偿表中与像素坐标（ 77,53 ）对应的解压灰阶值为 89 ，对应的补偿灰阶值与其的差值为 -4 。
本发明的补偿表的处理方法提供初始偏差系数及初始压缩量化系数，先将初始偏差系数作为当前偏差系数并将初始压缩量化系数作为当前压缩量化系数，利用当前压缩量化系数将原始补偿表压缩为第一压缩文件，对第一压缩文件进行解压，得到分别与多个像素表征参数对应的多个压缩灰阶值，将多个像素表征参数对应的补偿灰阶值与压缩灰阶值相减得到分别与多个像素表征参数对应的多个原始残差，利用当前偏差系数对多个原始残差进行量化处理得到分别与多个像素表征参数对应的多个量化残差，用稀疏矩阵存储多个量化残差，得到第二压缩文件，判断第一压缩文件及第二压缩文件的数据量之和与原始补偿表的数据量的比值是否小于等于预设压缩率，若是则完成压缩，否则判断当前压缩量化系数与预设的第一阈值的关系，若当前压缩量化系数小于预设的第一阈值，则将当前压缩系数增加预设的第一迭代值并利用迭代后的当前压缩量化系数重新进行将原始补偿表压缩为第一压缩文件的步骤，否则将当前偏差系数增加预设的第二迭代值并利用初始压缩量化系数作为当前压缩量化系数重新进行将原始补偿表压缩为第一压缩文件的步骤，能够在完成对补偿表进行压缩的同时，有效地降低补偿表压缩的偏差，提升压缩的质量，消除压缩偏差带来的失真对 Demura 的效果产生影响，提升显示装置的显示品质。
综上所述，本发明的补偿表的处理方法中利用压缩量化系数将原始补偿表压缩为第一压缩文件，对第一压缩文件进行解压得到多个压缩灰阶值，将多个补偿灰阶值与对应的压缩灰阶值相减得到多个原始残差，利用偏差系数对多个原始残差进行量化处理得到多个量化残差，利用稀疏矩阵存储多个量化残差，得到第二压缩文件，能够在完成对补偿表进行压缩的同时，有效地降低补偿表压缩的偏差，提升压缩的质量，消除压缩偏差带来的失真对 Demura 的效果产生影响，提升显示装置的显示品质。
以上所述，对于本领域的普通技术人员来说，可以根据本发明的技术方案和技术构思作出其他各种相应的改变和变形，而所有这些改变和变形都应属于本发明权利要求的保护范围。

Claims (15)

  1. 一种补偿表的处理方法，包括如下步骤：
    步骤S1、提供原始补偿表，所述原始补偿表包括分别与多个像素表征参数对应的多个补偿灰阶值；
    步骤S2、提供初始偏差系数及初始压缩量化系数；将初始偏差系数作为当前偏差系数；
    步骤S3、将初始压缩量化系数作为当前压缩量化系数；
    步骤S4、利用当前压缩量化系数将原始补偿表压缩为第一压缩文件；
    步骤S5、对第一压缩文件进行解压，得到分别与多个像素表征参数对应的多个压缩灰阶值，将多个像素表征参数对应的补偿灰阶值与压缩灰阶值相减得到分别与多个像素表征参数对应的多个原始残差；
    步骤S6、利用当前偏差系数对多个原始残差进行量化处理得到分别与多个像素表征参数对应的多个量化残差；
    步骤S7、用稀疏矩阵存储多个量化残差，得到第二压缩文件；
    步骤S8、判断第一压缩文件及第二压缩文件的数据量之和与原始补偿表的数据量的比值是否小于等于预设压缩率，若是则完成压缩，否则判断当前压缩量化系数与预设的第一阈值的关系，若当前压缩量化系数小于预设的第一阈值，则将当前压缩系数增加预设的第一迭代值并返回步骤S4，否则将当前偏差系数增加预设的第二迭代值并返回步骤S3。
  2. 如权利要求1所述的补偿表的处理方法，其中，所述步骤S6具体包括：
    步骤S61、判断多个原始残差与0的关系，若原始残差大于等于0则将该原始残差加上与当前偏差系数正相关的偏差阈值，否则将该原始残差减去所述偏差阈值，得到分别与多个像素表征参数对应的多个处理残差；
    步骤S62、将每一处理残差除以n倍的所述偏差阈值并进行四舍五入处理，得到分别与多个像素表征参数对应的多个量化残差，其中，n为正数。
  3. 如权利要求2所述的补偿表的处理方法，其中，所述原始补偿表与一目标灰阶值对应。
  4. 如权利要求3所述的补偿表的处理方法，其中，所述偏差阈值等于当前偏差系数与所述目标灰阶值的乘积。
  5. 如权利要求2所述的补偿表的处理方法，其中，n为2。
  6. 如权利要求2所述的补偿表的处理方法，其中，所述步骤S7具体为：记录非零的量化残差及非零的量化残差对应的像素描述参数，从而得到第二压缩文件。
  7. 如权利要求6所述的补偿表的处理方法，还包括步骤S9、对第一压缩文件进行解压得到分别与多个像素表征参数对应的多个压缩灰阶值，将第二压缩文件中各个非零的量化残差与完成压缩时的偏差阈值的n倍相乘得到对应的反量化值，每一反量化值与一像素表征参数对应，将对第一压缩文件进行解压得到多个压缩灰阶值中所对应的像素表征参数有对应的反量化值的压缩灰阶值与对应的反量化值相加，得到解压后的补偿表。
  8. 如权利要求1所述的补偿表的处理方法，其中，所述像素表征参数为像素坐标。
  9. 如权利要求8所述的补偿表的处理方法，其中，所述像素坐标包括像素的横坐标及像素的纵坐标。
  10. 如权利要求1所述的补偿表的处理方法，其中，所述初始偏差系数的范围为0.1-0.15。
  11. 一种补偿表的处理方法，包括如下步骤：
    步骤S1 、提供原始补偿表，所述原始补偿表包括分别与多个像素表征参数对应的多个补偿灰阶值；
    步骤S2 、提供初始偏差系数及初始压缩量化系数；将初始偏差系数作为当前偏差系数；
    步骤S3 、将初始压缩量化系数作为当前压缩量化系数；
    步骤S4 、利用当前压缩量化系数将原始补偿表压缩为第一压缩文件；
    步骤S5 、对第一压缩文件进行解压，得到分别与多个像素表征参数对应的多个压缩灰阶值，将多个像素表征参数对应的补偿灰阶值与压缩灰阶值相减得到分别与多个像素表征参数对应的多个原始残差；
    步骤S6 、利用当前偏差系数对多个原始残差进行量化处理得到分别与多个像素表征参数对应的多个量化残差；
    步骤S7 、用稀疏矩阵存储多个量化残差，得到第二压缩文件；
    步骤S8 、判断第一压缩文件及第二压缩文件的数据量之和与原始补偿表的数据量的比值是否小于等于预设压缩率，若是则完成压缩，否则判断当前压缩量化系数与预设的第一阈值的关系，若当前压缩量化系数小于预设的第一阈值，则将当前压缩系数增加预设的第一迭代值并返回步骤S4 ，否则将当前偏差系数增加预设的第二迭代值并返回步骤S3 ；
    其中，所述像素表征参数为像素坐标；
    其中，所述初始偏差系数的范围为0.1-0.15。
  12. 如权利要求11 所述的补偿表的处理方法，其中，所述步骤S6 具体包括：
    步骤S61 、判断多个原始残差与0 的关系，若原始残差大于等于0 则将该原始残差加上与当前偏差系数正相关的偏差阈值，否则将该原始残差减去所述偏差阈值，得到分别与多个像素表征参数对应的多个处理残差；
    步骤S62 、将每一处理残差除以n 倍的所述偏差阈值并进行四舍五入处理，得到分别与多个像素表征参数对应的多个量化残差，其中，n 为正数。
  13. 如权利要求12 所述的补偿表的处理方法，其中，所述原始补偿表与一目标灰阶值对应。
  14. 如权利要求13 所述的补偿表的处理方法，其中，所述偏差阈值等于当前偏差系数与所述目标灰阶值的乘积。
  15. 如权利要求12 所述的补偿表的处理方法，其中，n 为2 。
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