Pixel Processing for Color Filter Array Interpolation Accuracy
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Solution Overview
Problem
Conventional image processing systems fail to accurately determine the surrounding color distribution of pixels in a color filter array, leading to deviations in interpolated color values, especially in patterns with vertical or horizontal stripes.
Innovation Solution
A pixel processing method that calculates first and second difference magnitudes between color component values of a target pixel and surrounding pixels in horizontal and vertical directions, respectively, to generate determining values for selecting accurate color component values, thereby reconstructing missing color components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the prior art method uses color difference magnitude of the same color to deduce horizontal and vertical differences, then the calculation is simple, but it fails to identify certain specific color distributions (e.g., vertical stripes pattern) leading to inaccurate interpolation
Solution Approach 1:
The patent changes the parameter used for difference calculation from same-color differences to different-color differences. Specifically, it calculates horizontal difference using red color components and vertical difference using green color components, which fundamentally changes how color distribution is assessed and enables accurate identification of stripe patterns that were previously undetectable
Solution Approach 2:
The patent segments the difference calculation into two independent parts: horizontal difference calculation using one color component and vertical difference calculation using another color component. This segmentation allows each direction to be evaluated independently with appropriate color channels, improving accuracy without requiring complex integrated analysis
2Measurement precision
If the prior art method averages all surrounding pixels to reconstruct missing color components, then the process is simple, but the computed color value deviates from the real value in stripe patterns
Solution Approach 1:
The patent applies different interpolation strategies based on local color distribution characteristics. By comparing horizontal and vertical differences, it determines whether the local pattern is horizontal or vertical stripes and applies the appropriate interpolation method (horizontal or vertical averaging), rather than using a uniform averaging approach
Solution Approach 2:
The patent introduces dynamic selection of interpolation method based on the calculated color distribution. The system adapts its behavior by comparing difference magnitudes and selecting the appropriate averaging direction, making the interpolation process responsive to local image characteristics rather than static
Data Source
AI summary
A pixel processing method includes: determining a first difference magnitude according to a difference between a predetermined color component value of a target pixel and a predetermined color component of a surrounding pixel positioned on a first direction, determining a second difference magnitude according to a difference between the predetermined color component value of the target pixel and a predetermined color component of a surrounding pixel positioned on a second direction, generating a first determining value according to the predetermined color component values of a plurality of pixels positioned on the first direction and the first difference magnitude, generating a second determining value according to the predetermined color component values of a plurality of pixels positioned on the second direction and the second difference magnitude, and selecting a plurality of specific pixels to compute for a target color component value according to the first and second determining values.