Color-Deficient Video Image Processing via Selective Hue Adjustment
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Solution Overview
Problem
Existing image processing methods fail to effectively distinguish colors for color blind viewers while maintaining the natural appearance for trichromatic viewers, especially in dynamic content like video, leading to difficulties in identifying similar colors in sports broadcasts.
Innovation Solution
A method that identifies problem hues by simulating color vision deficiency, forms color groups, and adjusts these hues in a perceptually uniform color space to enhance distinguishability for color blind viewers while minimizing changes for others, using a lookup table for efficient processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color hues are adjusted to improve distinguishability for color blind viewers, then color distinguishability for color blind viewers is improved, but the natural appearance for trichromatic viewers deteriorates
Solution Approach 1:
The patent applies selective color adjustment by identifying specific problem hues that cause confusion for color blind viewers and adjusting only those hues, while leaving other hues unchanged. This localized approach improves color distinguishability for problematic colors without unnecessarily altering the natural appearance of other colors in the image.
Solution Approach 2:
The patent transforms colors from a standard color space to a perceptually uniform color space, adjusts the problematic hue parameters, and then transforms back. This parameter transformation approach allows precise control over color adjustments while maintaining overall image fidelity for trichromatic viewers.
2Measurement precision
If comprehensive color adjustment is applied to all hues, then color distinguishability for color blind viewers is improved, but computational complexity increases
Solution Approach 1:
The patent extracts and identifies only the specific problem hues that cause confusion for color blind viewers using similarity criteria, rather than processing all hues uniformly. This extraction of problematic colors reduces the scope of adjustment needed and lowers computational complexity while maintaining effectiveness.
Solution Approach 2:
The patent segments the color spectrum into distinct hue groups, identifies which groups contain problem hues, and applies adjustments only to those specific segments. This segmentation approach avoids unnecessary processing of entire color spectra and reduces overall computational burden.
3Measurement precision
If color similarity threshold is set low for accurate problem hue identification, then identification accuracy is improved, but more colors are affected increasing processing overhead
Solution Approach 1:
The patent uses a similarity criterion that may identify slightly more problem hues than strictly necessary (excessive action), but this ensures comprehensive coverage of all potentially confusing colors. The adjustment process then handles these identified hues efficiently through systematic transformation and lookup table generation.
Data Source
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AI summary
A computer implemented image processing method is described, which comprises identifying a degree of similarity between two or more hues as viewed by a colour vision deficient viewer, and determining two or more hues to be problem hues if the degree of similarity satisfies a similarity criterion. For one or more of the problem hues, the method defines an original colour group, the original colour group including the problem hue and related hues within a colour range of the problem hue. The method adjusts the hues of the original colour group(s) to generate a corresponding adjusted colour group. Then, when video images are received, the method replaces pixels within each video image having a hue corresponding to the original colour group(s) with the adjusted hue of the corresponding adjusted colour group(s). In this way, problem colours can be identified for a viewer with colour vision deficiency, and those particular colours (and variants thereof) can be adjusted to be more distinguishable for the colour deficient viewer, while leaving other colours unchanged to minimise the visual impact for other viewers.