Pixel Processor Color Vision Conversion for Deficiency
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Solution Overview
Problem
Individuals with color vision deficiencies, such as red-green or blue-yellow blindness, face difficulties in perceiving color differences in images, which existing image processing technologies cannot adequately address, especially in distinguishing ripe tomatoes or checking meat doneness.
Innovation Solution
A pixel processor that performs color vision conversion processing by altering the luminance component based on selected axes in uniform color spaces like Luv or Lab, enhancing color perception by converting color differences along these axes into luminance differences, allowing better discrimination of colors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing image processing methods convert colors to enhance discrimination, then color differentiation is improved, but the ability to perceive natural color meaning (e.g., ripe vs. unripe tomatoes) is lost
Solution Approach 1:
The patent applies parameter changes by transforming color data from standard RGB or HSV color spaces into a customized color space with modified perceptual weighting. This involves adjusting the color transformation matrix parameters to emphasize chroma and saturation components while preserving luminance relationships, thereby enhancing color discrimination for color-deficient observers without losing the ability to interpret natural color meanings such as ripeness indicators.
2Measurement precision
If filters or lenses with thick coloring or special reflecting films are used to enhance color perception, then color perception is improved, but user acceptance decreases due to resistance to using such filters
Solution Approach 1:
The patent replaces the mechanical/optical approach of using physical filters or lenses with thick coloring or special reflecting films with a digital image processing system. By performing color space transformations and chroma enhancement calculations on the image data itself, the system achieves color perception enhancement without requiring users to wear or use physical filters, thereby eliminating user resistance while maintaining improved color discrimination.
3Quantity of substance
If the number of routes to be shown on a subway map is increased, then information completeness is improved, but color discrimination difficulty increases making it hard to recognize each route
Solution Approach 1:
The patent applies parameter changes by transforming the color representation in visualizations into a customized color space that emphasizes chroma and saturation differences. This allows multiple routes or categories to be distinguished more effectively even when many are present, as the enhanced chromatic components provide stronger visual separation between different data series, improving color discrimination precision while maintaining information completeness.
Data Source
AI summary
A pixel processor employing an image processing technology by a computer capable of enhancing color identity. The pixel processor comprises a means performing color vision conversion processing for varying the component in the luminance axis direction depending on the component in the selected axis, i.e. any one of first axis and second axis, out of the component in the luminance axis direction, the component in the first axis direction and the component in the second axis direction included in pixel data represented as positional data in a uniform color space defined by three orthogonal coordinate axes system of the luminance axis indicating luminance, and the first and second axes indicating chromaticness index.