Display Panel Compensation Using Area-Based Uniformity Feedback
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Solution Overview
Problem
Existing display compensation methods face challenges in achieving optimal display uniformity due to varying responses of different display areas and sub-pixels to compensation coefficients, leading to inefficient manual adjustments and suboptimal results from intelligent algorithms.
Innovation Solution
A display compensation method and system that adaptively adjusts compensation coefficients by determining target areas based on area evaluation values and obtaining output compensation coefficients through luminance and chrominance data analysis, using a performance evaluation module and coefficient adjustment module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual adjustment of compensation coefficients is used, then the adjustment process is simple to implement, but the adjustment efficiency is low and optimal results cannot be achieved
Solution Approach 1:
The system enables self-service by allowing the display panel to automatically adjust its compensation coefficients through an iterative optimization process. The compensation coefficient adjustment module autonomously evaluates display uniformity metrics and updates coefficients without manual intervention, achieving both ease of implementation and high adjustment efficiency.
Solution Approach 2:
The system implements feedback mechanisms where display uniformity is continuously evaluated against target metrics, and compensation coefficients are adjusted based on the evaluation results. This closed-loop feedback enables automatic optimization while maintaining simple implementation through standardized adjustment procedures.
2Measurement precision
If intelligent algorithms such as particle swarm optimization are used to obtain compensation coefficients, then the adjustment precision can be improved, but the adjustment time increases and the system becomes susceptible to local optima
Solution Approach 1:
The system segments the display panel into multiple display areas and evaluates each area independently to generate area evaluation values. This segmentation allows for localized optimization strategies that converge faster than global optimization methods, reducing adjustment time while maintaining precision through targeted coefficient adjustments in specific problem areas.
Solution Approach 2:
The system dynamically changes compensation coefficients based on evaluated display uniformity metrics. By iteratively adjusting parameters (compensation coefficients) based on measured performance (display uniformity), the system achieves precise adjustment without requiring lengthy pre-computation or complex optimization algorithms, thereby reducing adjustment time.
3Quantity of substance
If compensation data of partial grayscales is stored to reduce computational complexity, then the storage requirements are reduced, but the compensation accuracy for remaining grayscales obtained through interpolation may deteriorate
Solution Approach 1:
The system applies local quality by generating area evaluation values for different display areas and applying targeted compensation strategies to specific regions. This allows for higher compensation accuracy in problem areas without requiring full compensation data for all grayscales across the entire panel, thereby reducing storage requirements while maintaining overall compensation accuracy through localized optimization.
Data Source
AI summary
This disclosure provides a display compensation method for a display panel, including: obtaining image data of a displayed image of the display panel when a first set of initial compensation coefficients is applied to control the display panel to display under a corresponding binding point grayscale; determining whether a performance index of the displayed image satisfies a standard based on the image data, and if not, obtaining area evaluation values respectively corresponding to display areas of the display panel based on average luminance and chrominance data corresponding to the display areas; obtaining a target area evaluation value based on the area evaluation values, and determining at least one display area corresponding to the target area evaluation value as a target area in a target area set; and obtaining a target compensation coefficient corresponding to the target area, and obtaining an output compensation coefficient based on the obtained target compensation coefficient.