An Efficient Naturalness-Preserving Image-Recoloring Method for Dichromats

• Published in: IEEE transactions on visualization and computer graphics 2008-11, Vol.14 (6), p.1747-1754
• Main Authors: Kuhn, G.R., Oliveira, M.M., Fernandes, L.
• Format: Article
• Language: English
• Subjects: Chemical vapor deposition; Chemistry; Color vision; Color-contrast enhancement; Color-vision deficiency; Computational efficiency; Data visualization; Face detection; Geology; Image contrast; Index Terms— Information and Scientific Visualization; Pediatrics; Photoreceptors; Preserves; Proteins; Recoloring algorithms; Retina; Statistics; Visual; Visualization
• ISSN: 1077-2626; 1941-0506
• DOI: 10.1109/TVCG.2008.112

We present an efficient and automatic image-recoloring technique for dichromats that highlights important visual details that would otherwise be unnoticed by these individuals. While previous techniques approach this problem by potentially changing all colors of the original image, causing their results to look unnatural to color vision deficients, our approach preserves, as much as possible, the image's original colors. Our approach is about three orders of magnitude faster than previous ones. The results of a paired-comparison evaluation carried out with fourteen color-vision deficients (CVDs) indicated the preference of our technique over the state-of-the-art automatic recoloring technique for dichromats. When considering information visualization examples, the subjects tend to prefer our results over the original images. An extension of our technique that exaggerates color contrast tends to be preferred when CVDs compared pairs of scientific visualization images. These results provide valuable information for guiding the design of visualizations for color-vision deficients.