Display Panel Driving Method for Brightness Compensation
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Solution Overview
Problem
Existing display panels struggle to achieve brightness levels that match the theoretical brightness of input images due to manufacturing limitations, resulting in a discrepancy between intended and actual display brightness.
Innovation Solution
A driving method for display panels that involves determining target and non-target regions, dividing these regions into sub-regions, calculating brightness compensation values based on pixel gray scale values, and adjusting pixel brightness accordingly to achieve consistent display brightness with input images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If brightness compensation is performed for all pixel units in the display panel, then display brightness consistency with input image is improved, but computational complexity and buffer requirements increase
Solution Approach 1:
The display panel is divided into multiple regions (target region and non-target region) with different compensation strategies. The target region receives full brightness compensation while the non-target region uses simplified compensation, reducing overall computational complexity while maintaining display brightness consistency in critical areas.
Solution Approach 2:
Different compensation algorithms and precision levels are applied to different regions of the display panel. The target region (where human eyes focus) receives high-precision compensation, while non-critical regions use lower-precision methods, optimizing the balance between display quality and computational resources.
2Measurement precision
If the display panel uses higher brightness compensation precision, then display accuracy is improved, but buffer requirements and processing time increase
Solution Approach 1:
Full precision brightness compensation is applied only to the target region where high accuracy is necessary, while partial or reduced compensation is applied to non-target regions. This partial action approach maintains display accuracy in critical areas without the full computational overhead across the entire panel.
Solution Approach 2:
The display panel is segmented into target and non-target regions, allowing different processing priorities. High-precision compensation calculations are performed only for pixels in the target region, reducing overall processing time while maintaining accuracy where it matters most.
Data Source
AI summary
The present disclosure provides a A driving method of a display panel, including: determining a target region and a non-target region in the display panel; dividing the target region into a plurality of target sub-regions, and dividing the non-target region into a plurality of non-target sub-regions, wherein an area of the target sub-region is less than that of the non-target sub-region; determining brightness compensation values of each target sub-region and each non-target sub-region according to a gray scale value of each pixel in an input image; determining a compensated brightness of each pixel unit in the display panel according to the gray scale value of each pixel in the input image, the brightness compensation values of each target sub-region and each non-target sub-region; and driving each pixel unit in the display panel to emit light according to the compensated brightness of each pixel unit in the display panel.