YUV Lookup Table Color Correction for Digital Image Noise Reduction
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Solution Overview
Problem
Conventional digital cameras face challenges in accurately reproducing colors of still pictures on television monitors due to differences in color space conversion between RGB and YUV, leading to suboptimal noise reduction and color accuracy.
Innovation Solution
A camera system employing YUV to YUV lookup table-based color correction for processing digital images, which allows for effective noise reduction and accurate color reproduction by performing color correction in a luminance-and-chrominance color space, distinct from linear RGB space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional RGB to YUV matrix multiplication and offset adjustments are used for color correction, then the processing is simple and fast, but the color accuracy on television monitors is insufficient
Solution Approach 1:
The patent changes the color space parameter from linear RGB to luminance-and-chrominance YUV, and further to a modified YUV space with different weighting factors. This parameter transformation enables better color accuracy for television monitor display by aligning with human visual perception characteristics, while the lookup table implementation maintains processing efficiency.
Solution Approach 2:
The patent introduces an intermediary lookup table that maps between different YUV color spaces. This intermediary structure facilitates accurate color transformation without requiring complex real-time matrix calculations, thus improving color accuracy while maintaining processing speed through pre-computed transformation values.
2Reliability
If conventional color correction methods are used, then the processing speed is maintained, but noise reduction effectiveness is suboptimal
Solution Approach 1:
By transforming to YUV color space with modified weighting parameters, the patent separates luminance and chrominance components more effectively. This parameter change enables targeted noise reduction on chrominance components without affecting luminance detail, improving noise reduction effectiveness while maintaining processing speed through lookup table implementation.
3Measurement precision
If different color corrections are applied for video and still pictures, then the color accuracy for each type is optimized, but the system complexity increases
Solution Approach 1:
The patent creates a universal lookup table-based color correction system that can handle both video and still picture processing through the same YUV to YUV transformation framework. Different correction profiles can be selected based on content type, but the underlying processing mechanism remains unified, reducing system complexity compared to implementing separate correction systems.
Data Source
AI summary
An apparatus having a circuit is disclosed. The circuit may be configured to (i) process a digital image received from a camera sensor and (ii) color correct at least one pixel of the digital image after the processing. The color correction generally includes a lookup table-based conversion of the pixel from a first luminance-and-chrominance representation to a second luminance-and-chrominance representation.