A Study of Color Transformation on Website Images for the Color Blind
Commenced in January 2007
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A Study of Color Transformation on Website Images for the Color Blind

Authors: Siew-Li Ching, Maziani Sabudin

Abstract:

In this paper, we study on color transformation method on website images for the color blind. The most common category of color blindness is red-green color blindness which is viewed as beige color. By transforming the colors of the images, the color blind can improve their color visibility. They can have a better view when browsing through the websites. To transform colors on the website images, we study on two algorithms which are the conversion techniques from RGB color space to HSV color space and self-organizing color transformation. The comparative study focuses on criteria based on the ease of use, quality, accuracy and efficiency. The outcome of the study leads to enhancement of website images to meet the color blinds- vision requirements in perceiving image detailed.

Keywords: Color blind, color transformation, HSV (Hue, Saturation, Value), RGB (Red, Green, Blue).

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1074910

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References:


[1] Kim, Y. K., Kim, K. W. and Yang, X., "Real Time Traffic Light Recognition System for Color Vision Deficiencies", Proceedings of IEEE Xplore, 2007, pp. 76-81.
[2] Lai, C. L. and Chang, S. W., "An image Processing Based Visual Compensation System for Vision Defects", International Symposium on IEEE Xplore, 2008, pp. 472-476.
[3] Ma, Y., Gu, X., Wang and Y., "Color Discrimination Enhancement for Dichromats Using Self-organizing Color Transformation", Information Science, 2009, Vol. 179, pp. 830-843.
[4] Ohkubo, T. and Kobayashi, K., "A Color Compensation Vision System for Color-blind people", SICE Annual Conference, 2008, pp. 1286- 1289.
[5] Yang, S. and Ro, Y. M., "Visual Contents Adaptation for Color Vision Deficiency", ICIP Proceedings, 2003, Vol. 1, pp. 1-453.