Paper:
Color Restoration Algorithm Based on Color Instance Under Low Illumination
Yutaka Hatakeyama*, Akimichi Mitsuta**, and Kaoru Hirota***
*Center of Medical Information Science, Medical School, Kochi University, Kohasu, Oko-cho, Nankoku city, Kochi 783-8505, Japan
**Customer Solutions Development Co.,Ltd., 3-2-1 Sakado, Takatsu-ku, Kawasaki-city, Kanagawa 213-0012, Japan
***Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan
- [1] S. A. Shafer, “Using color to separate reflection components,” Color Res. Appl., Vol.10, pp. 210-218, 1985.
- [2] S. Tominaga and B. A. Wandell, “The standard surface reflectance model and illuminant estimation,” J. Opt. Soc. Am. A, Vol.6, pp. 576-584, 1989.
- [3] H. C. Lee, E. J. Breneman, and C. Schulte, “Modeling light reflection for computer color vision,” IEEE Trans. on PAMI, Vol.12, pp. 402-409, 1990.
- [4] “Color scheme card 175b (sinhaisyokukado in Japanese),” nihonsikiken, 1989.
- [5] B. Karl-Heinz, “Color constancy: the role of image surfaces in illuminant adjustment,” JOSA A, Vol.16, Issue 7, pp. 1521-1530, 1999.
- [6] H. B. David, A. B. Wendy, and M. S. Jon, “Color constancy in the nearly natural image. 1. Asymmetric matches,” JOSA A, Vol.14, Issue 9, pp. 2091-2110, 1997.
- [7] B. Karl-Heinz, “Increments and decrements in color constancy,” JOSA A, Vol.18, Issue 10, pp. 2419-2429, 2001.
This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.