Color Filter Array Image Enhancement via Luminance Extraction
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Solution Overview
Problem
Conventional medical imaging systems using color filter array sensors face noise amplification issues due to leakage correction during the conversion of RGB images to luminance-chrominance color space, which degrades image quality.
Innovation Solution
Generating luminance values directly from pixel values associated with only one color of the color filter array sensor, such as green pixel values, avoids the need for leakage correction, thereby reducing noise amplification and improving image processing outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If leakage correction is applied during color space conversion, then color accuracy is improved, but noise amplification occurs in the luminance channel
Solution Approach 1:
The patent segments the color space conversion process by handling luminance and chrominance separately. Luminance values are extracted directly from the raw sensor data before leakage correction, while chrominance values undergo leakage correction. This segmentation prevents noise amplification from affecting the luminance channel while still applying color accuracy corrections to the chrominance channel.
Solution Approach 2:
The patent extracts luminance information from the raw sensor data at an early stage, before leakage correction is applied. By taking out the luminance component separately and processing it independently from the chrominance data, the system avoids introducing leakage correction noise into the luminance channel.
2Loss of information
If conventional color space conversion is used, then color information is preserved, but image quality degrades due to noise in luminance channel
Solution Approach 1:
The conversion process is segmented into separate luminance and chrominance processing streams. Luminance values are derived directly from raw sensor data without leakage correction, maintaining high reliability and low noise. Chrominance values undergo leakage correction to preserve color information accuracy. This segmented approach maintains both color information and image quality.
3Measurement precision
If luminance values are generated from multiple color channels, then color accuracy is improved, but processing complexity increases due to leakage correction requirements
Solution Approach 1:
The patent extracts luminance values directly from single-color pixel data (e.g., green pixels for luminance) without requiring complex multi-channel combination and leakage correction. This extraction approach simplifies processing while maintaining adequate luminance accuracy for image enhancement purposes.
Data Source
AI summary
A method of generating an RGB image of tissue includes receiving pixel values generated by at least one color filter array imaging sensor based on light received from a scene that comprises tissue, the pixel values comprising pixel values of a plurality of different colors; converting the pixel values to a luminance-chrominance color space, wherein luminance values in the luminance-chrominance color space are generated from pixel values of only one of the plurality of different colors; performing at least one image processing procedure in the luminance-chrominance color space; and generating an RGB image of the tissue by converting from the luminance-chrominance color space to an RGB color space.