Display Driving for Distance-Weighted Chromatic Aberration Correction
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Solution Overview
Problem
Existing display technologies suffer from chromatic aberration distortion and produce unnatural images due to lens characteristics, necessitating a method to correct distortion while maintaining natural image appearance.
Innovation Solution
A display driving method and device that calculates the distance between a current point and pixel, determines a weight based on parameters, and compensates for distortion in the image, considering the sub-pixel structure and lens characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If chromatic aberration correction is performed on a digital image, then distortion is corrected, but the resulting image has discrete features and appears unnatural
Solution Approach 1:
The patent applies different correction weights to different regions of the image based on their distance from the center. Peripheral regions receive higher correction weights to address chromatic aberration, while central regions use lower weights to preserve natural appearance. This local differentiation resolves the contradiction by applying distortion correction precision where needed while maintaining natural image quality elsewhere.
Solution Approach 2:
The patent dynamically adjusts correction parameters (weights) based on the distance of each pixel from the image center. By changing the correction strength parameter across different spatial locations, the system achieves precise distortion correction at peripheral areas while avoiding over-correction in central areas that would cause unnatural appearance.
2Manufacturing precision
If distortion correction is applied to address lens characteristics, then image quality improves, but processing complexity and latency increase
Solution Approach 1:
The patent segments the image into multiple regions based on distance from the center, applying different correction strategies to each segment. This segmentation allows the system to process only peripheral regions with high correction intensity while using lower intensity for central regions, reducing overall processing complexity while maintaining image quality.
Solution Approach 2:
The patent applies partial correction action by using distance-based weighting that intensifies correction at peripheral regions while reducing it toward the center. This partial application of strong correction only where needed (peripheral areas with chromatic aberration) avoids excessive processing across the entire image, thereby reducing complexity and latency.
3Object-affected harmful factors
If conventional distortion correction methods are used, then chromatic aberration is addressed, but the lens characteristics are not fully considered
Solution Approach 1:
The patent adapts to lens characteristics by applying location-specific correction weights that reflect the varying impact of lens distortion across the image field. Peripheral regions experience greater chromatic aberration and receive higher correction weights, while central regions use lower weights, thereby adapting the correction to match actual lens behavior at different locations.
Solution Approach 2:
The patent incorporates feedback from lens characteristic analysis into the correction process by using distance-based weighting that reflects measured or modeled lens performance. This feedback mechanism allows the system to adjust correction strength based on the actual optical characteristics at each region, improving adaptability to specific lens properties.
Data Source
AI summary
A display driving method includes receiving an image; calculating a distance between a current point and a current pixel for a sub-pixel of the image; calculating a weight based on a parameter; and compensating for distortion in the image based on the weight. A color of the sub-pixel may include at least one of red, green, or blue, and the parameter may include at least one of a distance parameter, a distortion parameter, or a sub-pixel parameter.