Abstract
People with color vision deficiency (CVD) cannot observe the colorful world due to the damage of color reception nerves. In this work, we present an image enhancement approach to assist colorblind people to identify the colors they are not able to distinguish naturally. An image re-coloring algorithm based on eigenvector processing is proposed for robust color separation under color deficiency transformation. It is shown that the eigenvector of color vision deficiency is distorted by an angle in the , Y-B, R-G color space. The experimental results show that our approach is useful for the recognition and separation of the CVD confusing colors in natural scene images. Compared to the existing techniques, our results of natural images with CVD simulation work very well in terms of RMS, HDR-VDP-2 and an IRB-approved human test. Both the objective comparison with previous works and the subjective evaluation on human tests validate the effectiveness of the proposed method.
Highlights
Most human beings have the ability of color vision perception, which senses the frequency of the light reflected from object surfaces
We propose an approach to assist people with color vision deficiency to tell the difference among the confusing colors as much as possible
We present an image enhancement approach to assist colorblind people with a better viewing experience
Summary
Most human beings have the ability of color vision perception, which senses the frequency of the light reflected from object surfaces. Color vision deficiency (CVD) is a common genetic condition [1]. It is in general not a fatal or serious disease, but still brings inconvenience to most patients. There are a few common types of color vision deficiency such as protanomaly (red weak), deuteranomaly (green weak) and tritanomaly (blue weak). They can be detected and verified by some special color patterns (e.g., Ishihara plates [2]), but, cannot be cured by medical surgery or other treatments. Compared to the human population, people with color vision deficiency are still a minority, and they are sometimes ignored and restricted by our society
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