WO2017177514A1 - 显示面板Mura现象补偿方法 - Google Patents

显示面板Mura现象补偿方法 Download PDF

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WO2017177514A1
WO2017177514A1 PCT/CN2016/083410 CN2016083410W WO2017177514A1 WO 2017177514 A1 WO2017177514 A1 WO 2017177514A1 CN 2016083410 W CN2016083410 W CN 2016083410W WO 2017177514 A1 WO2017177514 A1 WO 2017177514A1
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mura
gray
gray scale
input data
data signal
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French (fr)
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邝继木
温亦谦
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TCL China Star Optoelectronics Technology Co Ltd
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Shenzhen China Star Optoelectronics Technology Co Ltd
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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
    • G09G3/2092—Details of a display terminals using a flat panel, the details relating to the control arrangement of the display terminal and to the interfaces thereto
    • 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
    • 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
    • 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
    • G09G2320/0233—Improving the luminance or brightness uniformity across the screen
    • 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
    • G09G2320/06—Adjustment of display parameters
    • G09G2320/0626—Adjustment of display parameters for control of overall brightness
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2360/00—Aspects of the architecture of display systems
    • G09G2360/16—Calculation or use of calculated indices related to luminance levels in display data

Definitions

  • the present invention relates to the field of display technologies, and in particular, to a method for compensating a Mura phenomenon of a display panel.
  • LCD Liquid crystal display
  • OLED Organic Light Emitting Diode
  • Mura does not affect the use of the display panel, but it reduces the user's viewing comfort, so the Mura phenomenon restricts the development of LCD display panels and OLED display panels.
  • the probability of occurrence of the Mura phenomenon can be reduced by improving the process level or improving the purity of the raw material.
  • the physical characteristics have been fixed, and only the image data signals input to different areas of the display panel can be correspondingly
  • the way of compensation called De-Mura in the industry, to improve the Mura phenomenon, so that the output picture is smooth and enhance the user's viewing experience.
  • the conventional display panel Mura phenomenon compensation method adopts a linear interpolation method, including step 1. shifting the gray scale of the input image or picture as a whole, and reserve some space for compensating for the Mura phenomenon;
  • the brightness information of several gray levels is obtained by the image machine.
  • FIG. 1 illustrates the brightness information of six gray levels, which are brightness information of 223 gray levels, brightness information of 192 gray levels, brightness information of 160 gray levels, 128 Gray level brightness information, 96 gray level brightness information, 64 gray level brightness information, each gray scale is divided into a gray level interval; step 3, determining the input raw data signal falls in the gray level interval,
  • the luminance information corresponding to the original data signal is calculated by linear interpolation, which is known as the Mura value in the industry.
  • Y 160 , Y 140 , and Y 128 respectively represent a Mura value of 160 gray scales, a Mura value of 140 gray scales, and a Mura value of 128 gray scales;
  • X 160 , X 140 , and X 128 represent 160 gray scales, 140 gray scales, respectively. , 128 gray levels.
  • Y 30 and Y 64 respectively represent a Mura value of 30 gray scales and a Mura value of 64 gray scales
  • X 30 and X 64 respectively represent 30 gray scales and 64 gray scales.
  • the advantage of the conventional Mura phenomenon compensation method of the display panel adopting the linear interpolation method is that the calculation is simple and easy to implement, and the disadvantage is that on the one hand, the static image of the display panel and the low gray scale compensation effect are not good, on the other hand, Storing and processing a number of grayscale brightness information acquired by the image machine, and compensating for high-definition images or pictures requires a higher processing speed of the running memory (DDR).
  • DDR running memory
  • An object of the present invention is to provide a method for compensating the Mura phenomenon of a display panel, which adopts different compensation calculation methods for low grayscale, static and dynamic images, respectively, which can improve the Mura compensation effect on static images and low grayscale images, and reduce The speed requirement for running memory.
  • the present invention provides a method for compensating a Mura phenomenon of a display panel, comprising the following steps:
  • Step S1 moving the input natural image or multiple gray scales of the picture down, and reserve the space for Mura compensation
  • Step S2 obtaining, by the image machine, the brightness information of one of the b gray levels except the lowest gray level, that is, the Mura value, for the input natural image or picture;
  • Step S3 Obtaining 0 to the lowest gray level brightness information of the input natural image or picture through the image machine, and preparing a Mura value search table of 0 to the lowest gray level;
  • Step S4 using the Mura value of the b gray scale obtained in step S2, using the linear interpolation algorithm to calculate the Mura value of the remaining gray scales;
  • Step S5 determining whether the input data signal is less than a minimum gray level, and if the judgment result is yes, Then proceeds to step S6; if the determination result is no, then proceeds to step S7;
  • Step S6 Perform Mura compensation by searching the Mura value search table, so that the compensated gray level is greater than the lowest gray level;
  • Step S7 determining whether the input data signal constitutes a dynamic image. If the determination result is yes, the linear interpolation algorithm is used to calculate the Mura value corresponding to the input data signal; if the determination result is no, the nonlinear interpolation algorithm is used to calculate the input data. The Mura value corresponding to the signal.
  • the multiple gray scales of the input natural image or picture are moved down by 32 gray scales, and the multiple gray scales after moving down are 223 gray scale, 192 gray scale, 160 gray scale, 128 gray scale, 96 gray scale, 64 gray scale.
  • the linear interpolation algorithm used in the step S4 calculates the formula of the Mura value of the remaining gray scales as:
  • X b represents the b gray scale
  • X a represents the gray scale value of any remaining gray scale
  • Y b represents the Mura value corresponding to the b gray scale
  • Y a represents the Mura value corresponding to any remaining gray scale.
  • the step S7 determines whether the input data signal constitutes a motion image by comparing the input data signal with a plurality of pre-stored data, and if the comparison result is the same, it is determined as a still image, and if the comparison result is different, it is determined as a motion image.
  • the linear interpolation algorithm used in the step S7 calculates the calculation formula of the Mura value corresponding to the input data signal as follows:
  • X c represents the gray scale value corresponding to the input data signal
  • X i-1 and X i represent the gray scale values corresponding to the adjacent two gray scales respectively
  • the gray scale value corresponding to the input data signal is located in the adjacent two
  • Y c represents the Mura value corresponding to the input data signal
  • Y i-1 and Y i represent the Mura values corresponding to the adjacent two gray scales respectively.
  • the calculation formula of the Mura value corresponding to the input data signal calculated by the nonlinear interpolation algorithm used in the step S7 is:
  • X c represents the gray scale value corresponding to the input data signal
  • X i-1 and X i represent the gray scale values corresponding to the adjacent two gray scales respectively
  • the gray scale value corresponding to the input data signal is located in the adjacent two
  • Y c represents the Mura value corresponding to the input data signal
  • Y i-1 and Y i represent the Mura values corresponding to the adjacent two gray scales respectively.
  • the b gray scale is 128 gray scale.
  • the lowest gray level is 64 gray levels.
  • the invention also provides a method for compensating the Mura phenomenon of the display panel, comprising the following steps:
  • Step S1 moving the input natural image or multiple gray scales of the picture down, and reserve the space for Mura compensation
  • Step S2 obtaining, by the image machine, the brightness information of one of the b gray levels except the lowest gray level, that is, the Mura value, for the input natural image or picture;
  • Step S3 Obtaining 0 to the lowest gray level brightness information of the input natural image or picture through the image machine, and preparing a Mura value search table of 0 to the lowest gray level;
  • Step S4 using the Mura value of the b gray scale obtained in step S2, using the linear interpolation algorithm to calculate the Mura value of the remaining gray scales;
  • Step S5 it is determined whether the input data signal is less than the lowest gray level, if the determination result is yes, then proceeds to step S6; if the determination result is no, then proceeds to step S7;
  • Step S6 Perform Mura compensation by searching the Mura value search table, so that the compensated gray level is greater than the lowest gray level;
  • Step S7 determining whether the input data signal constitutes a dynamic image. If the determination result is yes, the linear interpolation algorithm is used to calculate the Mura value corresponding to the input data signal; if the determination result is no, the nonlinear interpolation algorithm is used to calculate the input data. The Mura value corresponding to the signal;
  • the multiple gray scales of the input natural image or picture are moved down by 32 gray scales, and the multiple gray scales after moving down are 223 gray scale, 192 gray scale, 160 gray scale, 128 gray. Order, 96 gray scale, 64 gray scale;
  • the calculation formula of the Mura value of the remaining gray scales calculated by the linear interpolation algorithm used in the step S4 is:
  • X b represents the b gray scale
  • X a represents the gray scale value of any remaining gray scale
  • Y b represents the Mura value corresponding to the b gray scale
  • Y a represents the Mura value corresponding to any remaining gray scale.
  • the Mura phenomenon compensation method for a display panel provided by the present invention only needs to extract luminance information of a gray scale other than the lowest gray scale from the input natural image or picture, and then make 0 to the lowest gray level.
  • Mura value search table calculated by linear interpolation algorithm The Mura value of the residual gray scale is then judged and differentiated for the input data signal.
  • the Mura value search table is used for Mura compensation, and the dynamic image is calculated by the linear interpolation algorithm.
  • the Mura value corresponding to the data signal is calculated by using a nonlinear interpolation algorithm for the static image to calculate the Mura value corresponding to the input data signal, which can improve the Mura compensation effect on the still image and the low gray level image, and reduce the speed requirement for running the memory.
  • FIG. 1 is a schematic diagram of a linear interpolation method of a conventional display panel Mura phenomenon compensation method
  • FIG. 2 is a flow chart of a method for compensating a Mura phenomenon of a display panel according to the present invention
  • FIG. 3 is a schematic flow chart of steps S5 to S7 in the method for compensating the Mura phenomenon of the display panel of the present invention
  • FIG. 4 is a schematic diagram of the Mura value of the remaining gray scales calculated by the Mura value of 128 gray scales according to the Mura phenomenon compensation method of the display panel of the present invention
  • FIG. 5 is a schematic diagram of the Mura value corresponding to the input data signal calculated by the Mura phenomenon compensation method of the display panel of the present invention.
  • the present invention provides a method for compensating the Mura phenomenon of a display panel, including the following steps:
  • Step S1 Move the multiple gray scales of the input natural image or picture as a whole, and reserve the space for Mura compensation.
  • step S1 multiple gray scales of the input natural image or picture are moved down by 32 gray scales, and the multiple gray scales after moving down are 223 gray scales, 192 gray scales, 160 respectively. Gray scale, 128 gray scale, 96 gray scale, 64 gray scale.
  • step S2 the brightness information of one of the b gray levels except the lowest gray level, that is, the Mura value, is acquired by the image machine on the input natural image or picture.
  • the step S2 is performed by the video machine.
  • the incoming natural image or picture acquires luminance information of 128 gray levels except for the lowest gray level, that is, 64 gray levels. Compared with the prior art, it is required to obtain the brightness information of all the multiple gray levels through the image machine. This step only needs to obtain the brightness information of one of the b gray levels except the lowest gray level, which can reduce the speed requirement for DDR. .
  • step S3 the brightness information of 0 to the lowest gray level is acquired by the image machine on the input natural image or picture, and a Mura value search table of 0 to the lowest gray level is created.
  • the step S3 acquires luminance information of 0 to 64 gray scales from the input natural image or picture by the image machine, and creates a Mura value retrieval table of 0 to 64 gray scales.
  • Step S4 Using the Mura value of the b gray scale obtained in step S2, the Mura value of the remaining gray scales is calculated by a linear interpolation algorithm.
  • the linear interpolation algorithm used in the step S4 calculates the formula of the Mura value of the remaining gray scales as:
  • X b represents the b gray scale
  • X a represents the gray scale value of any remaining gray scale
  • Y b represents the Mura value corresponding to the b gray scale
  • Y a represents the Mura value corresponding to any remaining gray scale.
  • the calculation formula is:
  • the remaining five gray scales other than 128 gray scales can be obtained: 64 gray The Mura value corresponding to the order, 90 gray scale, 160 gray scale, 192 gray scale, and 223 gray scale respectively.
  • step S5 it is judged whether the input data signal is smaller than the minimum gray level. If the determination result is yes, the process proceeds to step S6; if the determination result is negative, the process proceeds to step S7.
  • step S5 determines whether the input data signal is less than 64 gray scales. If the determination result is yes, the process proceeds to step S6; if the determination result is negative, then Proceed to step S7.
  • Step S6 Perform Mura compensation by searching the Mura value search table, so that the compensated gray level is greater than the lowest gray level.
  • the step S6 performs Mura compensation by searching the Mura value retrieval table, so that the compensated gray scale is greater than 64 gray scales.
  • Step S7 determining whether the input data signal constitutes a dynamic image. If the determination result is yes, the linear interpolation algorithm is used to calculate the Mura value corresponding to the input data signal; if the determination result is no, the nonlinear interpolation algorithm is used to calculate the input data. The Mura value corresponding to the signal.
  • step S7 it is determined whether the input data signal constitutes a motion image by comparing the input data signal with a plurality of pre-stored data, and if the comparison result is the same, the determination is a still image, and if the comparison result is different, the determination is dynamic. image.
  • the linear interpolation algorithm used in step S7 calculates the calculation formula of the Mura value corresponding to the input data signal as:
  • X c represents the gray scale value corresponding to the input data signal
  • X i-1 and X i represent the gray scale values corresponding to the adjacent two gray scales respectively
  • the gray scale value corresponding to the input data signal is located in the adjacent two the gray value gray level intervals respectively corresponding to the gray scale configuration
  • Y c represents the value of the data signal corresponding to the input Mura
  • Y i-1, Y i represents the Mura values respectively corresponding to two adjacent gray.
  • the embodiment of the previous step is taken, and in combination with FIG. 3 and FIG. 5, the grayscale value corresponding to the input data signal is 140, and the grayscale interval of the 140 grayscale is 128 to 160, to calculate 140 in the dynamic image.
  • the Mura value corresponding to the gray scale is calculated as:
  • the nonlinear interpolation algorithm used in the step S7 calculates the Mura value corresponding to the input data signal.
  • the calculation formula is:
  • X c represents the gray scale value corresponding to the input data signal
  • X i-1 and X i represent the gray scale values corresponding to the adjacent two gray scales respectively
  • the gray scale value corresponding to the input data signal is located in the adjacent two
  • Y c represents the Mura value corresponding to the input data signal
  • Y i-1 and Y i represent the Mura values corresponding to the adjacent two gray scales respectively.
  • the grayscale value corresponding to the input data signal is 140, and the grayscale interval of the 140 grayscale is 128 to 160, to calculate 140 in the static image.
  • the Mura value corresponding to the gray scale is calculated as:
  • the nonlinear interpolation algorithm is used to calculate the Mura value of the still image, and the obtained curve tends to the gamma curve, which can make the brightness of the static image more uniform and smooth, and the viewing effect of the human eye is better and the compensation effect is better.
  • the Mura phenomenon compensation method of the display panel of the present invention only needs to extract luminance information of a gray scale other than the lowest gray scale from the input natural image or picture, and then prepare a Mura value of 0 to the lowest gray level.
  • the search table uses a linear interpolation algorithm to calculate the Mura value of the remaining gray scales, and then judges and distinguishes the input data signals.
  • the Mura value search table is searched for Mura compensation
  • the dynamic image uses the linear interpolation algorithm to calculate the Mura value corresponding to the input data signal
  • the nonlinear interpolation algorithm is used to calculate the Mura value corresponding to the input data signal for the static image, which can improve the Mura compensation effect on the static image and the low grayscale image, and Reduce the speed requirement for running memory.

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Abstract

一种显示面板Mura现象补偿方法，仅需要从输入的自然影像或图片中提取除最低灰阶以外的一张灰阶的亮度信息，然后制作0到最低灰阶的Mura值检索表，采用线性插值算法计算出其余张灰阶的Mura值，接着对输入的数据信号进行判断区分，针对小于最低灰阶的低灰阶影像采用查找所述Mura值检索表进行Mura补偿，针对动态影像采用线性插值算法计算输入的数据信号对应的Mura值，针对静态影像采用非线性插值算法计算输入的数据信号对应的Mura值，能够提高对静态影像和低灰阶影像的Mura补偿效果，并降低对运行内存的速度要求。

Description

显示面板Mura现象补偿方法 技术领域
本发明涉及显示技术领域，尤其涉及一种显示面板Mura现象补偿方法。
背景技术
液晶显示(Liquid Crystal Display，LCD)面板与有机发光二极管(Organic Light Emitting Diode，OLED)显示面板近年来发展迅速，成为了目前市场上的主流产品，得到了广泛的应用：如电视、智能手机、平板电脑、计算机屏幕等。
在现有的技术条件下，因原材料不良、或实际制程中的一些不可控因素，一些显示面板存在显示图像时因为亮度不均匀而产生各种痕迹的现象，即业界所称的Mura现象。
Mura的存在不会对显示面板的使用功能造成影响，但是会降低用户的观看舒适度，因此Mura现象制约了LCD显示面板与OLED显示面板的发展。通过提高工艺水平或者提高原材料纯度等方法可降低Mura现象的发生概率，但对于已经制作完成的显示面板，其物理特性已经定型，只能通过对输入到显示面板不同区域内的影像数据信号进行相应补偿的方式，业内称为De-Mura，来改善Mura现象，从而使输出画面具有平滑性，提升用户的观看体验。
如图1所示，传统的显示面板Mura现象补偿方法采取线性内插方式，包括步骤1、把输入的影像或图片的灰阶整体下移，预留一些对Mura现象补偿的空间；步骤2、通过影像机台获取若干灰阶的亮度信息，图1示例出了获取六张灰阶的亮度信息，分别是223灰阶的亮度信息、192灰阶的亮度信息、160灰阶的亮度信息、128灰阶的亮度信息、96灰阶的亮度信息、64灰阶的亮度信息，每相邻两张灰阶划分出一灰阶区间；步骤3、判断输入的原始数据信号落在的灰阶区间，通过线性插值计算出与该原始数据信号对应的亮度信息，也就是业内所称的Mura值。
以输入的原始数据信号灰阶为140为例，140落在128至160灰阶区间，线性内插计算过程如下：
Figure PCTCN2016083410-appb-000001
Figure PCTCN2016083410-appb-000002
其中，Y160、Y140、Y128分别表示160灰阶的Mura值、140灰阶的Mura值、128灰阶的Mura值；X160、X140、X128分别表示160灰阶、140灰阶、128灰阶。
以输入的原始数据信号灰阶为30为例，30落在0至64灰阶区间，线性内插的计算公式如下：
Figure PCTCN2016083410-appb-000003
其中，Y30、Y64分别表示30灰阶的Mura值、64灰阶的Mura值；X30、X64分别表示30灰阶、64灰阶。
这种传统的采取线性内插方式的显示面板Mura现象补偿方法的优点是计算简单，容易实现，缺点是一方面对显示面板的静态影像和低灰阶的补偿效果不佳，另一方面由于要存储和处理影像机台获取的若干灰阶亮度信息，对于高清的影像或图片进行补偿就需要运行内存(DDR)具有较高的处理速度。
发明内容
本发明的目的在于提供一种显示面板Mura现象补偿方法，分别对影像的低灰阶、静态以及动态采用不同的补偿计算方式，能够提高对静态影像和低灰阶影像的Mura补偿效果，并降低对运行内存的速度要求。
为实现上述目的，本发明提供一种显示面板Mura现象补偿方法，包括如下步骤：
步骤S1、把输入的自然影像或图片的多张灰阶整体下移，预留Mura补偿的空间；
步骤S2、通过影像机台对输入的自然影像或图片获取除最低灰阶以外的其中一张b灰阶的亮度信息，即Mura值；
步骤S3、通过影像机台对输入的自然影像或图片获取0到所述最低灰阶的亮度信息，制作0到最低灰阶的Mura值检索表；
步骤S4、利用步骤S2获取的b灰阶的Mura值，采用线性插值算法计算出其余张灰阶的Mura值；
步骤S5、判断输入的数据信号是否小于最低灰阶，如果判断结果为是， 则转入步骤S6；如果判断结果为否，则转入步骤S7；
步骤S6、通过查找所述Mura值检索表进行Mura补偿，使补偿后的灰阶大于所述最低灰阶；
步骤S7、判断输入的数据信号是否构成动态影像，如果判断结果为是，则采用线性插值算法计算输入的数据信号对应的Mura值；如果判断结果为否，则采用非线性插值算法计算输入的数据信号对应的Mura值。
所述步骤S1中把输入的自然影像或图片的多张灰阶整体下移32灰阶，下移后的多张灰阶分别为223灰阶、192灰阶、160灰阶、128灰阶、96灰阶、64灰阶。
所述步骤S4采用的线性插值算法计算出其余张灰阶的Mura值的计算公式为：
Figure PCTCN2016083410-appb-000004
其中，Xb表示b灰阶，Xa表示任一其余张灰阶的灰阶值；Yb表示b灰阶对应的Mura值，Ya表示任一其余张灰阶对应的Mura值。
所述步骤S7判断输入的数据信号是否构成动态影像的方式是通过比较输入的数据信号与预存储的多个数据进行比较，比较结果相同则判断为静态影像，比较结果不同则判断为动态影像。
所述步骤S7采用的线性插值算法计算输入的数据信号对应的Mura值的计算公式为：
Figure PCTCN2016083410-appb-000005
其中Xc表示输入的数据信号对应的灰阶值，Xi-1、Xi表示相邻两张灰阶分别对应的灰阶值，输入的数据信号对应的灰阶值位于该相邻两张灰阶分别对应的灰阶值构成的灰阶区间内，Yc表示输入的数据信号对应的Mura值，Yi-1、Yi表示所述相邻两张灰阶分别对应的Mura值。
所述步骤S7采用的非线性插值算法计算输入的数据信号对应的Mura值的计算公式为：
Figure PCTCN2016083410-appb-000006
其中Xc表示输入的数据信号对应的灰阶值，Xi-1、Xi表示相邻两张灰 阶分别对应的灰阶值，输入的数据信号对应的灰阶值位于该相邻两张灰阶分别对应的灰阶值构成的灰阶区间内，Yc表示输入的数据信号对应的Mura值，Yi-1、Yi表示所述相邻两张灰阶分别对应的Mura值。
所述b灰阶为128灰阶。
所述最低灰阶为64灰阶。
本发明还提供一种显示面板Mura现象补偿方法，包括如下步骤：
步骤S1、把输入的自然影像或图片的多张灰阶整体下移，预留Mura补偿的空间；
步骤S2、通过影像机台对输入的自然影像或图片获取除最低灰阶以外的其中一张b灰阶的亮度信息，即Mura值；
步骤S3、通过影像机台对输入的自然影像或图片获取0到所述最低灰阶的亮度信息，制作0到最低灰阶的Mura值检索表；
步骤S4、利用步骤S2获取的b灰阶的Mura值，采用线性插值算法计算出其余张灰阶的Mura值；
步骤S5、判断输入的数据信号是否小于最低灰阶，如果判断结果为是，则转入步骤S6；如果判断结果为否，则转入步骤S7；
步骤S6、通过查找所述Mura值检索表进行Mura补偿，使补偿后的灰阶大于所述最低灰阶；
步骤S7、判断输入的数据信号是否构成动态影像，如果判断结果为是，则采用线性插值算法计算输入的数据信号对应的Mura值；如果判断结果为否，则采用非线性插值算法计算输入的数据信号对应的Mura值；
其中，所述步骤S1中把输入的自然影像或图片的多张灰阶整体下移32灰阶，下移后的多张灰阶分别为223灰阶、192灰阶、160灰阶、128灰阶、96灰阶、64灰阶；
其中，所述步骤S4采用的线性插值算法计算出其余张灰阶的Mura值的计算公式为：
Figure PCTCN2016083410-appb-000007
其中，Xb表示b灰阶，Xa表示任一其余张灰阶的灰阶值；Yb表示b灰阶对应的Mura值，Ya表示任一其余张灰阶对应的Mura值。
本发明的有益效果：本发明提供的显示面板Mura现象补偿方法，仅需要从输入的自然影像或图片中提取除最低灰阶以外的一张灰阶的亮度信息，然后制作0到最低灰阶的Mura值检索表，采用线性插值算法计算出其 余张灰阶的Mura值，接着对输入的数据信号进行判断区分，针对小于最低灰阶的低灰阶影像采用查找所述Mura值检索表进行Mura补偿，针对动态影像采用线性插值算法计算输入的数据信号对应的Mura值，针对静态影像采用非线性插值算法计算输入的数据信号对应的Mura值，能够提高对静态影像和低灰阶影像的Mura补偿效果，并降低对运行内存的速度要求。
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为传统的显示面板Mura现象补偿方法采取线性内插方式的示意图；
图2为本发明的显示面板Mura现象补偿方法的流程图；
图3为本发明的显示面板Mura现象补偿方法中步骤S5至步骤S7的流程简图；
图4为本发明的显示面板Mura现象补偿方法通过128灰阶的Mura值计算得到其余张灰阶的Mura值的示意图；
图5为本发明的显示面板Mura现象补偿方法计算得到输入的数据信号对应的Mura值的示意图。
具体实施方式
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。
请同时参阅图2与图3，本发明提供一种显示面板Mura现象补偿方法，包括如下步骤：
步骤S1、把输入的自然影像或图片的多张灰阶整体下移，预留Mura补偿的空间。
具体地，作为一个实施例，该步骤S1中把输入的自然影像或图片的多张灰阶整体下移32灰阶，下移后的多张灰阶分别为223灰阶、192灰阶、160灰阶、128灰阶、96灰阶、64灰阶。
步骤S2、通过影像机台对输入的自然影像或图片获取除最低灰阶以外的其中一张b灰阶的亮度信息，即Mura值。
具体地，如图4所示，作为一个实施例，该步骤S2通过影像机台对输 入的自然影像或图片获取除最低灰阶即64灰阶以外的128灰阶的亮度信息。与现有技术需要通过影像机台获取所有的多张灰阶的亮度信息相比，该步骤仅需获取除最低灰阶以外的其中一张b灰阶的亮度信息，能够降低对DDR的速度要求。
步骤S3、通过影像机台对输入的自然影像或图片获取0到所述最低灰阶的亮度信息，制作0到最低灰阶的Mura值检索表。
具体地，承接之前步骤的实施例，该步骤S3通过影像机台对输入的自然影像或图片获取0到64灰阶的亮度信息，制作0到64灰阶的Mura值检索表。
步骤S4、利用步骤S2获取的b灰阶的Mura值，采用线性插值算法计算出其余张灰阶的Mura值。
进一步地，该步骤S4采用的线性插值算法计算出其余张灰阶的Mura值的计算公式为：
Figure PCTCN2016083410-appb-000008
其中，Xb表示b灰阶，Xa表示任一其余张灰阶的灰阶值；Yb表示b灰阶对应的Mura值，Ya表示任一其余张灰阶对应的Mura值。
具体地，如图4所示，承接之前步骤的实施例，若要计算160灰阶对应的Mura值，则计算公式为：
Figure PCTCN2016083410-appb-000009
最终得到：
Figure PCTCN2016083410-appb-000010
同理，若要计算223灰阶对应的Mura值，则计算公式为：
Figure PCTCN2016083410-appb-000011
最终得到：
Figure PCTCN2016083410-appb-000012
通过此线性插值算法可以得到除128灰阶以外的其余5张灰阶：64灰 阶、90灰阶、160灰阶、192灰阶、223灰阶分别对应的Mura值。
步骤S5、判断输入的数据信号是否小于最低灰阶，如果判断结果为是，则转入步骤S6；如果判断结果为否，则转入步骤S7。
具体地，承接之前步骤的实施例，如图3所示，该步骤S5判断输入的数据信号是否小于64灰阶，如果判断结果为是，则转入步骤S6；如果判断结果为否，则转入步骤S7。
步骤S6、通过查找所述Mura值检索表进行Mura补偿，使补偿后的灰阶大于所述最低灰阶。
具体地，承接之前步骤的实施例，如图3所示，该步骤S6通过查找所述Mura值检索表进行Mura补偿，使补偿后的灰阶大于64灰阶。
步骤S7、判断输入的数据信号是否构成动态影像，如果判断结果为是，则采用线性插值算法计算输入的数据信号对应的Mura值；如果判断结果为否，则采用非线性插值算法计算输入的数据信号对应的Mura值。
进一步地，该步骤S7判断输入的数据信号是否构成动态影像的方式是通过比较输入的数据信号与预存储的多个数据进行比较，比较结果相同则判断为静态影像，比较结果不同则判断为动态影像。
该步骤S7采用的线性插值算法计算输入的数据信号对应的Mura值的计算公式为：
Figure PCTCN2016083410-appb-000013
其中Xc表示输入的数据信号对应的灰阶值，Xi-1、Xi表示相邻两张灰阶分别对应的灰阶值，输入的数据信号对应的灰阶值位于该相邻两张灰阶分别对应的灰阶值构成的灰阶区间内，Yc表示输入的数据信号对应的Mura值，Yi-1、Yi表示所述相邻两张灰阶分别对应的Mura值。
具体地，承接之前步骤的实施例，结合图3与图5，设输入的数据信号对应的灰阶值为140，140灰阶所在的灰阶区间为128至160，若要计算动态影像中140灰阶对应的Mura值，则计算公式为：
Figure PCTCN2016083410-appb-000014
最终得到：
Figure PCTCN2016083410-appb-000015
该步骤S7采用的非线性插值算法计算输入的数据信号对应的Mura值 的计算公式为：
Figure PCTCN2016083410-appb-000016
其中Xc表示输入的数据信号对应的灰阶值，Xi-1、Xi表示相邻两张灰阶分别对应的灰阶值，输入的数据信号对应的灰阶值位于该相邻两张灰阶分别对应的灰阶值构成的灰阶区间内，Yc表示输入的数据信号对应的Mura值，Yi-1、Yi表示所述相邻两张灰阶分别对应的Mura值。
具体地，承接之前步骤的实施例，结合图3与图5，设输入的数据信号对应的灰阶值为140，140灰阶所在的灰阶区间为128至160，若要计算静态影像中140灰阶对应的Mura值，则计算公式为：
Figure PCTCN2016083410-appb-000017
最终得到：
Figure PCTCN2016083410-appb-000018
采用非线性插值算法来计算静态影像的Mura值，所得到的曲线图趋向于伽马曲线，能够使得静态影像的亮度更均匀、平滑，人眼观看效果更佳，补偿效果更好。
综上所述，本发明的显示面板Mura现象补偿方法，仅需要从输入的自然影像或图片中提取除最低灰阶以外的一张灰阶的亮度信息，然后制作0到最低灰阶的Mura值检索表，采用线性插值算法计算出其余张灰阶的Mura值，接着对输入的数据信号进行判断区分，针对小于最低灰阶的低灰阶影像采用查找所述Mura值检索表进行Mura补偿，针对动态影像采用线性插值算法计算输入的数据信号对应的Mura值，针对静态影像采用非线性插值算法计算输入的数据信号对应的Mura值，能够提高对静态影像和低灰阶影像的Mura补偿效果，并降低对运行内存的速度要求。
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后附的权利要求的保护范围。

Claims (14)

  1. 一种显示面板Mura现象补偿方法，包括如下步骤：
    步骤S1、把输入的自然影像或图片的多张灰阶整体下移，预留Mura补偿的空间；
    步骤S2、通过影像机台对输入的自然影像或图片获取除最低灰阶以外的其中一张b灰阶的亮度信息，即Mura值；
    步骤S3、通过影像机台对输入的自然影像或图片获取0到所述最低灰阶的亮度信息，制作0到最低灰阶的Mura值检索表；
    步骤S4、利用步骤S2获取的b灰阶的Mura值，采用线性插值算法计算出其余张灰阶的Mura值；
    步骤S5、判断输入的数据信号是否小于最低灰阶，如果判断结果为是，则转入步骤S6；如果判断结果为否，则转入步骤S7；
    步骤S6、通过查找所述Mura值检索表进行Mura补偿，使补偿后的灰阶大于所述最低灰阶；
    步骤S7、判断输入的数据信号是否构成动态影像，如果判断结果为是，则采用线性插值算法计算输入的数据信号对应的Mura值；如果判断结果为否，则采用非线性插值算法计算输入的数据信号对应的Mura值。
  2. 如权利要求1所述的显示面板Mura现象补偿方法，其中，所述步骤S1中把输入的自然影像或图片的多张灰阶整体下移32灰阶，下移后的多张灰阶分别为223灰阶、192灰阶、160灰阶、128灰阶、96灰阶、64灰阶。
  3. 如权利要求1所述的显示面板Mura现象补偿方法，其中，所述步骤S4采用的线性插值算法计算出其余张灰阶的Mura值的计算公式为：
    Figure PCTCN2016083410-appb-100001
    其中，Xb表示b灰阶，Xa表示任一其余张灰阶的灰阶值；Yb表示b灰阶对应的Mura值，Ya表示任一其余张灰阶对应的Mura值。
  4. 如权利要求1所述的显示面板Mura现象补偿方法，其中，所述步骤S7判断输入的数据信号是否构成动态影像的方式是通过比较输入的数据信号与预存储的多个数据进行比较，比较结果相同则判断为静态影像，比较结果不同则判断为动态影像。
  5. 如权利要求1所述的显示面板Mura现象补偿方法，其中，所述步骤S7采用的线性插值算法计算输入的数据信号对应的Mura值的计算公式为：
    Figure PCTCN2016083410-appb-100002
    其中Xc表示输入的数据信号对应的灰阶值，Xi-1、Xi表示相邻两张灰阶分别对应的灰阶值，输入的数据信号对应的灰阶值位于该相邻两张灰阶分别对应的灰阶值构成的灰阶区间内，Yc表示输入的数据信号对应的Mura值，Yi-1、Yi表示所述相邻两张灰阶分别对应的Mura值。
  6. 如权利要求1所述的显示面板Mura现象补偿方法，其中，所述步骤S7采用的非线性插值算法计算输入的数据信号对应的Mura值的计算公式为：
    Figure PCTCN2016083410-appb-100003
    其中Xc表示输入的数据信号对应的灰阶值，Xi-1、Xi表示相邻两张灰阶分别对应的灰阶值，输入的数据信号对应的灰阶值位于该相邻两张灰阶分别对应的灰阶值构成的灰阶区间内，Yc表示输入的数据信号对应的Mura值，Yi-1、Yi表示所述相邻两张灰阶分别对应的Mura值。
  7. 如权利要求1所述的显示面板Mura现象补偿方法，其中，所述b灰阶为128灰阶。
  8. 如权利要求7所述的显示面板Mura现象补偿方法，其中，所述最低灰阶为64灰阶。
  9. 一种显示面板Mura现象补偿方法，包括如下步骤：
    步骤S1、把输入的自然影像或图片的多张灰阶整体下移，预留Mura补偿的空间；
    步骤S2、通过影像机台对输入的自然影像或图片获取除最低灰阶以外的其中一张b灰阶的亮度信息，即Mura值；
    步骤S3、通过影像机台对输入的自然影像或图片获取0到所述最低灰阶的亮度信息，制作0到最低灰阶的Mura值检索表；
    步骤S4、利用步骤S2获取的b灰阶的Mura值，采用线性插值算法计算出其余张灰阶的Mura值；
    步骤S5、判断输入的数据信号是否小于最低灰阶，如果判断结果为是， 则转入步骤S6；如果判断结果为否，则转入步骤S7；
    步骤S6、通过查找所述Mura值检索表进行Mura补偿，使补偿后的灰阶大于所述最低灰阶；
    步骤S7、判断输入的数据信号是否构成动态影像，如果判断结果为是，则采用线性插值算法计算输入的数据信号对应的Mura值；如果判断结果为否，则采用非线性插值算法计算输入的数据信号对应的Mura值；
    其中，所述步骤S1中把输入的自然影像或图片的多张灰阶整体下移32灰阶，下移后的多张灰阶分别为223灰阶、192灰阶、160灰阶、128灰阶、96灰阶、64灰阶；
    其中，所述步骤S4采用的线性插值算法计算出其余张灰阶的Mura值的计算公式为：
    Figure PCTCN2016083410-appb-100004
    其中，Xb表示b灰阶，Xa表示任一其余张灰阶的灰阶值；Yb表示b灰阶对应的Mura值，Ya表示任一其余张灰阶对应的Mura值。
  10. 如权利要求9所述的显示面板Mura现象补偿方法，其中，所述步骤S7判断输入的数据信号是否构成动态影像的方式是通过比较输入的数据信号与预存储的多个数据进行比较，比较结果相同则判断为静态影像，比较结果不同则判断为动态影像。
  11. 如权利要求9所述的显示面板Mura现象补偿方法，其中，所述步骤S7采用的线性插值算法计算输入的数据信号对应的Mura值的计算公式为：
    Figure PCTCN2016083410-appb-100005
    其中Xc表示输入的数据信号对应的灰阶值，Xi-1、Xi表示相邻两张灰阶分别对应的灰阶值，输入的数据信号对应的灰阶值位于该相邻两张灰阶分别对应的灰阶值构成的灰阶区间内，Yc表示输入的数据信号对应的Mura值，Yi-1、Yi表示所述相邻两张灰阶分别对应的Mura值。
  12. 如权利要求9所述的显示面板Mura现象补偿方法，其中，所述步骤S7采用的非线性插值算法计算输入的数据信号对应的Mura值的计算公式为：
    Figure PCTCN2016083410-appb-100006
    其中Xc表示输入的数据信号对应的灰阶值，Xi-1、Xi表示相邻两张灰阶分别对应的灰阶值，输入的数据信号对应的灰阶值位于该相邻两张灰阶分别对应的灰阶值构成的灰阶区间内，Yc表示输入的数据信号对应的Mura值，Yi-1、Yi表示所述相邻两张灰阶分别对应的Mura值。
  13. 如权利要求9所述的显示面板Mura现象补偿方法，其中，所述b灰阶为128灰阶。
  14. 如权利要求13所述的显示面板Mura现象补偿方法，其中，所述最低灰阶为64灰阶。
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