DeMURA algorithm for OLED screen

Abstract

The invention discloses a DeMURA algorithm for an OLED screen. The DeMURA algorithm comprises the following steps that 1, Gamma inverse correction simulation based on a central area is carried out; 2,acquisition of a corresponding gray scale adjustment value through Gamma inverse transformation; 3, estimation of a pixel-level DeMURA model based on multiple gray scales; 4, a method for eliminatingsingular points based on the adjustment parameters; and 5, a spatial MURA weakening method based on human eye sensitivity. According to the algorithm, Gamma inverse correction is carried out based ona reference area, and a DeMURA adjustment factor is calculated through multiple models, so that the possibility of occurrence of a large error is reduced in principle, and the precision of DeMURA isimproved. Based on the adjustment factor, singular point processing is carried out, attribute analysis of the singular points is not carried out, and the result after DeNURA can be more uniform. The sensitivity of human eyes to different MURA types can be utilized to introduce random variables to scatter the sensitive type MURA which may appear, so that the result is more in line with human eye observation.

Description

technical field [0001] The invention relates to the technical field of image quality processing, in particular to the image quality processing technology of OLED screens. Background technique [0002] The relationship model between each light-emitting unit of the OLED screen and the input grayscale causes local inhomogeneity. This inhomogeneity is also called MURA, which comes from Japanese transliteration, which means rough and not smooth. [0003] In order to eliminate MURA, the DeMURA method currently used in this field includes the following steps: [0004] 1) Use a high-resolution camera to collect the brightness of OLED screens under different gray scales (patent application number 201810608731.2), and remove moiré; [0005] 2) Construct the DeMURA table using the relationship between the gray scale and the actual gray scale (patent application number 201811563176.2); [0006] 3) Compress the DeMURA table and burn it into IC storage (patent application number 2018102...

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Problems solved by technology

[0008] The problems in the above method are: 1) When the high-resolution camera extracts different types of OLED screens, the collected content remains unchanged, that is, the brightness of the three units of RGB, but the collected objects will change with different structures. There are many ways of arrangement. During the display process, different ways of arrangement show different effects. Under different effects, whether the high-resolution camera can perfectly restore the effect observed by the human eye is not sure here; 2) Too much gray The model construction direction of the first-order input and output is currently using the segmented interpolation method. There is an assumption here that the model of each segment is consistent, but there will be a big difference in the actual process, and the 256-order traversal It will also greatly reduce the efficiency of the entire DeMURA process. How to balance this contradiction, there is no better way at this stage; 3) Since the segmentation model will introduce errors, and the original process only considers the error adjustment of a single light-emitting unit, there is no Considering the accumulation of spatial errors between light-emitting units, that is, if the adjustment error of the light-emitting units in the spatially adjacent area is large, a large error area will be formed to cause the adjusted MURA, and the generated part of the MURA may be the screen Not available, that is to say, the effect of DeMURA may be worse in the future

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