Display Panel Driving with Grayscale Aging Compensation
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Solution Overview
Problem
Existing display technologies face challenges in accurately compensating for pixel deterioration due to limited memory storage, leading to overcompensation or undercompensation, particularly in low grayscale values.
Innovation Solution
Implementing a display apparatus with a display panel driver that utilizes grayscale acceleration coefficients, subdividing the low grayscale range for low frequency driving modes, and adjusting coefficients based on image data characteristics to enhance age information accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single grayscale acceleration coefficient is used for all grayscale values, then the device complexity is reduced, but the measurement precision of age information for low grayscale values deteriorates
Solution Approach 1:
The grayscale range is segmented into multiple regions (e.g., first grayscale range and second grayscale range), with each region having its own dedicated grayscale acceleration coefficient. This segmentation allows for more precise age information measurement in low grayscale regions without requiring complex dynamic adjustment mechanisms across the entire grayscale spectrum.
Solution Approach 2:
Different grayscale acceleration coefficients are applied to different grayscale regions, with specific coefficients optimized for specific ranges. For example, a first grayscale acceleration coefficient is used for a first grayscale range and a second grayscale acceleration coefficient is used for a second grayscale range, ensuring that each local region has the quality (precision) needed for its specific measurement requirements.
2Measurement precision
If memory storage is increased to improve age information accuracy, then the measurement precision of age information is improved, but the device complexity and cost increase
Solution Approach 1:
Instead of increasing memory storage capacity, the invention changes the parameter (grayscale acceleration coefficient) to achieve more accurate age information calculation. By selecting appropriate coefficients for different grayscale ranges, the system achieves high measurement precision using existing memory resources, avoiding the need for additional storage capacity.
3Measurement precision
If the low grayscale range is subdivided into multiple regions with different coefficients, then the measurement precision of age information is improved, but the device complexity increases
Solution Approach 1:
The low grayscale range is segmented into multiple distinct regions, each with its own grayscale acceleration coefficient. This segmentation strategy improves measurement precision by capturing the non-linear aging characteristics in different low grayscale regions, while the segmentation itself provides a manageable structure for coefficient storage and retrieval.
Solution Approach 2:
The grayscale acceleration coefficients for different regions are pre-calculated and stored in memory before operation. During actual aging compensation, the system simply retrieves the appropriate pre-computed coefficient based on the current grayscale value, avoiding complex real-time calculations and reducing operational complexity.
Data Source
AI summary
A display apparatus includes a display panel and a display panel driver. The display panel driver determines whether a driving mode of the display panel is a low frequency driving mode, generates an age using a first grayscale acceleration coefficient if the driving mode of the display panel is not the low frequency driving mode, and generates the age using a second grayscale acceleration coefficient different from the first grayscale acceleration coefficient if the driving mode of the display panel is the low frequency driving mode. The first grayscale acceleration coefficient has a maximum value when a grayscale of an image is a maximum grayscale value, and the second grayscale acceleration coefficient has a maximum value when a grayscale of the image is equal to or greater than a predetermined reference grayscale value which is lower than the maximum grayscale value.