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Improving Discrimination in Color Vision Deficiency by Image Re-Coloring
Huei-Yung Lin1, Li-Qi Chen2, Min-Liang Wang3
1Department of Electrical Engineering, Advanced Institute of Manufacturing with High-Tech Innovation, National Chung Cheng University, Chiayi 621, Taiwan. lin@ee.ccu.edu.tw.
Sensors (Basel, Switzerland)
|May 18, 2019
Summary
This study introduces an image re-coloring algorithm to help people with color vision deficiency (CVD) distinguish colors. The novel eigenvector processing method effectively separates confusing colors in natural images.
Area of Science:
- Computer Vision
- Image Processing
- Human-Computer Interaction
Background:
- Color vision deficiency (CVD) impairs color perception due to damaged color reception nerves.
- Existing image enhancement techniques struggle with robust color separation for CVD individuals.
Purpose of the Study:
- To develop an image enhancement approach assisting colorblind individuals in identifying indistinguishable colors.
- To propose a robust image re-coloring algorithm for color deficiency transformation.
Main Methods:
- An image re-coloring algorithm utilizing eigenvector processing is developed.
- Color deficiency transformation is analyzed in the λ, Y-B, R-G color space, identifying eigenvector angular distortion.
- The algorithm is tested on natural scene images with simulated CVD.
Main Results:
- The proposed approach effectively separates colors that are confusing for individuals with CVD.
- Objective evaluations (RMS, HDR-VDP-2) and subjective human tests demonstrate significant improvements.
- The method shows superior performance compared to existing techniques in CVD simulation.
Conclusions:
- The eigenvector-based image re-coloring algorithm is effective for assisting individuals with color vision deficiency.
- The method provides a valuable tool for enhancing color recognition and separation in natural images for CVD populations.
- Both objective metrics and human testing confirm the practical utility and effectiveness of the proposed technique.
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