Display Assembly Partitioning for Regional Image Quality Uniformity
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Solution Overview
Problem
Existing display technologies face challenges in achieving high-performance image quality adjustment and uniformity due to non-uniformity in image quality parameters across different regions of the display assembly.
Innovation Solution
The method involves dividing the display assembly into preset partitions, acquiring image quality information for each partition, analyzing and calculating adjustments, determining adjustment types and regions, and performing targeted image quality adjustments using specific processing units to ensure uniformity and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the display assembly is divided into multiple preset partitions for regional adjustment, then the image quality uniformity is improved, but the device complexity increases
Solution Approach 1:
The display assembly is divided into multiple preset partitions, with each partition corresponding to one image quality processing unit. This segmentation enables regional image quality adjustment, allowing different areas of the display to be optimized independently, thereby improving overall image quality uniformity while managing complexity through modular organization.
Solution Approach 2:
Different image quality processing units are allocated to different preset partitions based on their specific image quality parameters. Each processing unit performs targeted adjustments on its corresponding partition, applying local quality optimization rather than uniform global adjustment, which resolves the contradiction by improving precision through localization while maintaining manageable system complexity.
2Measurement precision
If multiple image quality processing units are used for regional adjustment, then the adjustment precision is improved, but the device complexity increases
Solution Approach 1:
The system segments the display assembly into multiple preset partitions, with each partition assigned to a corresponding image quality processing unit. This segmentation strategy improves adjustment precision by enabling fine-grained control over specific regions, while the modular partitioned structure helps manage the complexity introduced by multiple processing units.
Solution Approach 2:
Each image quality processing unit adjusts specific image quality parameters (such as brightness, contrast, color) for its corresponding preset partition based on measured deviations. By changing parameters locally rather than globally, the system achieves high adjustment precision without requiring all processing units to operate simultaneously, thus managing device complexity.
Data Source
AI summary
The present disclosure provides an image quality adjusting method, including: acquiring first image quality information of a display assembly while displaying a preset measurement image; performing analysis and calculation based on the first image quality information and a preset second image quality information to generate adjustment information; determining an adjustment type corresponding to each preset partition according to the adjustment information, and determining at least one adjustment region according to the adjustment type corresponding to each preset partition; and performing image quality adjustment on each adjustment region according to the adjustment information. The present disclosure further provides an image quality adjusting assembly, a display system, and a computer readable medium.