[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.3807/COPP.2018.2.1.101

Flexible Technique to Enhance Color-image Quality for Color-deficient Observers

Woo, Sungju (Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology (KAIST))
Park, Chongwook (Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology (KAIST))
Baek, Ye Seul (School of Design and Human Engineering, Ulsan National Institute of Science and Technology (UNIST))
Kwak, Youngshin (School of Design and Human Engineering, Ulsan National Institute of Science and Technology (UNIST))

Publication Information

Current Optics and Photonics / v.2, no.1, 2018 , pp. 101-106 More about this Journal

Abstract

Color-normal observers (CNOs) and color-deficient observers (CDOs) have different preferences and emotions for color images. A color-image quality-enhancement algorithm for a CDO is developed to easily adjust images according to each observer's preference or image quality factors. The color-perception differences between CDO and CNO are analyzed and modeled in terms of the YCbCr chroma ratio and hue difference; then the color-shift method is designed to control the degree of color difference.

Keywords

Color enhancement; Color deficiency; Color deficient observer; Protanomaly; Deuteranomaly;

Citations & Related Records

Reference

1	J. Y. Jeong, H. J. Kim, T. S. Wang, Y. J. Yoon, and S. J. Ko, "An efficient re-coloring method with information preserving for the color-blind," IEEE Trans. Consum. Electron. 57(4), 1953-1960 (2011). DOI
2	M. M. Oliveira, "Towards more accessible visualizations for color-vision-deficient individuals," Comput. Sci. Eng. 15(5), 80-87 (2013). DOI
3	R. Mochizuki, T. Nakamura, J. Chao, and R. Lenz, "Colorweak correction by discrimination threshold matching," in Proc. CGIV'08, pp. 208-213.
4	Y. Chen, Y. Guan, T. Ishikawa, H. Eto, T. Nakatsue, J. Chao, and Ayama, "Preference for color-enhanced images assessed by color deficiencies," Color Res. Appl. 39(3), 234-251 (2014). DOI
5	Y. S. Baek, Y. Kwak, S. Woo, and C. Park, "Preferred memory color difference between the deuteranomalous and normal color vision," Proc. SPIE 9395, 939517 (2015).
6	L. C. Ou, M. R. Luo, A. Woodcock, and A. Wright, "A study of colour emotion and colour preference. Part I:Colour emotions for single colours," Color Res. Appl. 29(3), 232-240. (2004). DOI
7	J. Posner, J. A. Russell, and B. S. Peterson, "The circumplex model of affect: An integrative approach to affective neuroscience, cognitive development, and psychopathology," Dev. Psychopathol. 17(3), 715-734 (2005). DOI
8	M. D. Fairchild, Color appearance models, 3rd edition (Wiley, 2013), 32 p.
9	G. M. Machado, M. M. Oliveira, and L. A. Fernandes, "A physiologically-based model for simulation of color vision deficiency," IEEE Trans. Vis. Comput. Graphics 15(6), 1291-1298 (2009). DOI
10	H. Brettel, F. Viénot, and J. Mollon, "Computerized simulation of color appearance for dichromats," J. Opt. Soc. Am. A 14(10), 2647-2655 (1997) DOI
11	J. B. Huang, Y. C. Tseng, S. I. Wu, and S. J. Wang, "Information preserving color transformation for protanopia and deuteranopia," IEEE Signal Process. Lett. 14(10), 711-714 (2007). DOI
12	C. R. Huang, K. C. Chiu, and C. S Chen, "Temporal color consistency-based video reproduction for dichromats," IEEE Trans. Multimedia 13(5), 435-445 (2011).
13	J. Nam, Y. M. Ro, Y. Huh, and M. Kim, "Visual content adaptation according to user perception characteristics," IEEE Trans. Multimedia 7(3), 435-445 (2005). DOI