Display Panel Degradation Evaluation Using Mutual Information
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Solution Overview
Problem
Current methods for evaluating the degradation of display panels, such as mura, are primarily qualitative and lack a quantitative assessment, making it difficult to accurately compensate for degradation using compensation technologies.
Innovation Solution
An apparatus and method that analyze the correlation between a reference frame and an evaluation frame using histogram distribution vectors, mutual information, and cognitive characteristics to generate a quantitative evaluation value for degradation, which is then used to compensate for display data degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If visual evaluation method is used to assess degradation, then the evaluation process is simple, but the measurement precision is insufficient
Solution Approach 1:
The patent replaces the mechanical/visual evaluation system with an information-theoretic measurement system. Specifically, it uses mutual information calculation between histogram distribution vectors of reference and evaluation frames to objectively quantify degradation, substituting human visual assessment with mathematical computation that provides precise numerical measurements of degradation levels.
Solution Approach 2:
The patent transforms the degradation assessment from a qualitative visual parameter to a quantitative information-theoretic parameter. By calculating mutual information and incorporating cognitive characteristics weights, it converts subjective visual evaluation into objective numerical parameters that precisely measure degradation states.
2Reliability
If compensation technology is applied to reduce degradation, then the image quality is improved, but the quantitative evaluation capability is lost
Solution Approach 1:
The patent establishes a feedback loop where the quantitative degradation evaluation results are fed back to guide compensation technology application. The mutual information-based evaluation provides objective feedback on degradation levels, enabling precise adjustment of compensation parameters to optimize image quality while maintaining quantitative assessment capability throughout the process.
Data Source
AI summary
Disclosed are an apparatus and method for evaluating the degradation of a display panel, for evaluating a degradation state of a display panel, such as mura. The method of evaluating the degradation of a display panel may be implemented by generating mutual information by using a first histogram distribution vector of a reference frame having a target grayscale level and a second histogram distribution vector of an evaluation frame displayed on a display panel in response to the target grayscale level, generating normalized mutual information of the mutual information, providing a weight into which a cognitive characteristic of a distribution of grayscales of pixels of the evaluation frame is incorporated, and outputting an evaluation value obtained by multiplying the normalized mutual information and the weight.


