Pixel-Based Luminance Adjustment for Motion Blur Elimination
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Solution Overview
Problem
Motion image blur in hold type display devices, such as active matrix liquid crystal displays (AMLCDs), remains unresolved due to sample and hold artifacts, with existing solutions either failing to effectively eliminate the issue or introducing decreased overall luminance and high R&D/manufacturing costs.
Innovation Solution
A method and device that detect pixel value differences between continuous images to adjust luminance, increasing the luminance of one pixel and decreasing the other when the difference exceeds a predetermined value, using pixel detection and adjustment circuits with look-up tables to manage luminance adjustments based on image dynamics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If prior art solutions destroy sample and hold artifacts by intermittently replacing image data with all-black images or turning off backlight, then sample and hold artifacts are eliminated, but overall luminance of images decreases
Solution Approach 1:
The patent applies local quality by differentiating between static and dynamic image regions and applying different luminance adjustment strategies. For dynamic regions where blur occurs, the system selectively adjusts luminance based on motion detection, while preserving luminance in static regions. This localized approach eliminates sample and hold artifacts in moving areas without reducing overall image luminance.
Solution Approach 2:
The patent changes the luminance parameter dynamically based on detected motion. When motion is detected between continuous images, the system adjusts luminance of affected pixels rather than uniformly reducing luminance or inserting black frames. This parameter change approach maintains overall luminance while eliminating artifacts in specific regions.
2Reliability
If prior art solutions use complex mechanisms to eliminate image blur, then image blur is reduced, but R&D and manufacturing cost increases
Solution Approach 1:
The patent replaces complex mechanical or hardware-based motion compensation mechanisms with a pixel-based processing approach. By using software algorithms to detect motion and adjust luminance on a pixel level, the system achieves blur elimination without requiring complex additional hardware, thereby reducing R&D and manufacturing costs.
Solution Approach 2:
The patent enables the display system to self-correct image blur by detecting motion within the existing image data and automatically adjusting luminance parameters. This self-service approach eliminates the need for external complex mechanisms or additional hardware components, simplifying the overall system while maintaining effective blur elimination.
3Speed
If voltage overdrive method is used to solve response time issues, then liquid crystal response time is improved, but sample and hold artifacts remain unresolved
Solution Approach 1:
The patent segments the image processing into two distinct stages: first applying voltage overdrive to improve liquid crystal response time, then applying pixel-based luminance adjustment to eliminate sample and hold artifacts. This segmentation allows each method to address its specific problem without interference, achieving both fast response and artifact elimination.
Solution Approach 2:
The patent introduces pixel-based luminance adjustment as an intermediary process between voltage overdrive and final image display. This intermediary step detects motion and selectively modifies luminance to eliminate sample and hold artifacts that persist after voltage overdrive, thereby resolving the limitation of voltage overdrive alone.
Data Source
AI summary
A method for eliminating image blur includes: detecting the difference in pixel value between two corresponding pixels in two continuous images to generate a difference value; and adjusting the luminance of the two corresponding pixels according to the difference value, wherein when the difference value exceeds a predetermined value, the luminance of one pixel of the two corresponding pixels is increased and the luminance of the other pixel is decreased.