Display Screen Gray-Scale Compensation for Brightness Uniformity
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Solution Overview
Problem
Display screens with multiple sub-display areas suffer from non-uniform brightness due to production line processes, material differences, and color correction errors, leading to poor display uniformity.
Innovation Solution
A display compensation method that involves acquiring actual measured brightness values, establishing a function model with undetermined constants, and optimizing compensation gray scales using a preset mapping relationship and parameter analysis to achieve uniform brightness across sub-display areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple sub-display areas are used to form a display screen, then the display screen can cover a larger area and provide more comprehensive display coverage, but brightness uniformity deteriorates due to production line process differences, material variations, and color correction errors
Solution Approach 1:
The patent applies local quality by measuring and compensating for brightness differences in each sub-display area individually. Each sub-display area undergoes separate brightness measurement and compensation processing, allowing tailored adjustments to address local variations in brightness caused by production line differences and material variations, thereby achieving uniform brightness across the entire large display screen
Solution Approach 2:
The patent changes the drive gray scale parameter to compensate for brightness differences. By establishing a compensation gray scale based on the relationship between drive gray scale and actual brightness, the system adjusts the input signal parameters to compensate for manufacturing variations, transforming the brightness non-uniformity problem into a controllable parameter adjustment problem
2Manufacturing precision
If a compensation method is implemented to improve brightness uniformity, then display uniformity improves, but measurement and processing complexity increases due to the need to acquire brightness values at multiple gray scales and perform function model fitting
Solution Approach 1:
The patent applies preliminary action by performing brightness measurements and establishing compensation models during the production process rather than during normal operation. The function model relating drive gray scale to actual brightness is pre-calculated and stored, allowing rapid compensation during display operation without complex real-time processing
Solution Approach 2:
The patent implements feedback by measuring actual brightness values and using this information to calculate compensation gray scales. The system continuously compares actual brightness with target brightness and adjusts the drive signal accordingly, creating a closed-loop compensation mechanism that improves uniformity while keeping processing manageable through iterative refinement
3Measurement precision
If brightness compensation is performed across multiple gray scales, then compensation accuracy improves, but measurement time and processing resources increase
Solution Approach 1:
The patent applies partial action by selecting key gray scale points for measurement rather than measuring at all possible gray scales. By measuring at a representative set of gray scales and using function model fitting to interpolate results, the system achieves accurate compensation without the time cost of exhaustive measurement across the entire gray scale range
Data Source
AI summary
A display screen, and a display compensation method and display compensation device therefor. The display compensation method includes: acquiring actual measured brightness values of sub-pixel units in the display screen at target gray scales; mapping the actual measured brightness values to actual measured gray scales; establishing a function model relating compensation gray scale (dependent variable) to drive gray scale (independent variable); determining a constant of the function model based on the target gray scales and the actual measured gray scales and calculating compensation gray scales; acquiring a parameter which characterizes a degree of difference between the compensation gray scale and the corresponding target gray scale; and determining optimal compensation gray scales based on the parameter