False Color Reduction for Bayer Interpolation
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Solution Overview
Problem
Consumer electronics using Bayer color filter arrays often experience color noise issues like color aliasing and false color at image edges and texture areas, degrading image quality during color interpolation.
Innovation Solution
A false color reduction system comprising a red/blue color interpolation signal reference level estimator, analyzer, and regulator, which calculates and adjusts the red/blue color interpolation signals based on green difference signals and reference levels to correct interpolation values in real-time without additional buffer memory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If color interpolation is performed on Bayer CFA images, then full-color image output is achieved, but color noise such as color aliasing and false color occurs at edges and texture areas
Solution Approach 1:
The patent applies different correction strategies to different regions of the image. It identifies edges and texture areas through gradient calculation and applies stronger correction only to these problematic regions, while maintaining standard interpolation for smooth areas. This local differentiation reduces color noise at critical locations without degrading overall image quality.
Solution Approach 2:
The patent uses feedback mechanisms by calculating the difference between interpolated color values and actual sensor readings, then using this difference to adjust subsequent interpolation results. The correction amount is dynamically adjusted based on the detected edge strength and texture characteristics, creating a feedback loop that continuously optimizes color accuracy.
2Productivity
If conventional color interpolation methods are used, then processing speed is maintained, but image quality deteriorates due to color aliasing and false color
Solution Approach 1:
The patent segments the color correction process into distinct stages: first performing standard interpolation to maintain speed, then identifying problematic regions through gradient analysis, and finally applying targeted correction only where needed. This segmentation allows the system to maintain high processing speed for most of the image while dedicating computational resources only to areas requiring correction.
Solution Approach 2:
The patent applies partial correction action by only adjusting color interpolation results in regions where edges and textures are detected, rather than applying correction uniformly across the entire image. This partial action approach maintains processing efficiency while achieving quality improvement where it matters most.
3Measurement precision
If additional buffer memory is used for color interpolation processing, then processing accuracy is improved, but device complexity and memory requirements increase
Solution Approach 1:
The patent implements self-service by using the existing image data and sensor readings directly for correction calculations, rather than requiring separate buffer memory for stored reference values. The system performs gradient calculation and correction using available data structures, eliminating the need for additional buffer memory while maintaining correction accuracy.
Data Source
AI summary
A false color reduction system and method for color interpolation is disclosed in the present invention. The false color reduction system includes a red/blue color interpolation signal reference level estimator, a red/blue color interpolation signal noise analyzer and a red/blue color interpolation signal noise regulator. The red/blue color interpolation signal reference level estimator receives a RGB image array and a red/blue color interpolation signal of the RGB image array to generate a green difference signal. The red/blue color interpolation signal reference level estimator generates a red/blue reference level according to the green difference signal and an average signal. The red/blue color interpolation signal noise analyzer analyzes received signals to generate analysis result. The red/blue color interpolation signal noise regulator receives the analysis result to correct the red/blue color interpolation signal.