Paper:
Language: English:

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

Received: July 20, 2005

Accepted: March 26, 2007

Keywords: surveillance system, instance-based reasoning, color restoration

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.11, No.5 pp. 445-451, 2007

Abstract

Color restoration algorithm using color instance-based reasoning is proposed. The proposed system does not employ a physical model but color instance. The color instance, Color Change Vector, is defined based on distribution of color values for 175 color scheme cards taken under low and standard illuminations. Modification of CCV is proposed based on color value and linguistic expression. The given image is restored by adding the appropriate color instances for a given color value. A prototype system for color restoration is constructed. An experiment is done with dynamic images of an outdoor walking person, to evaluate the performance of the proposed system in terms of color-difference and processing time. The proposed method presents a foundation for identifying a person captured by a practical security system using a low cost CCD camera.

Reference

[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.

[Notice]
* "Preview" is the first 2 pages of the article. You don't need the registration.
* To read the PDF file you will then need to download and install the Adobe Reader.
Adobe Reader is free and available for download here: