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Proceedings Paper

Illuminant color estimation by hue categorization based on gray world assumption
Author(s): Harumi Kawamura; Shunichi Yonemura; Jun Ohya; Norihiko Matsuura
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Paper Abstract

This paper proposes a gray world assumption based method for estimating an illuminant color from an image by hue categorization. The gray world assumption hypothesizes that the average color of all the objects in a scene is gray. However, it is difficult to estimate an illuminant color correctly if the colors of the objects in a scene are dominated by certain colors. To solve this problem, our method uses the opponent color properties that the average of a pair of opponent colors is gray. Thus our method roughly categorizes the colors derived from the image based on hue and selects them one by one from the hue categories until selected colors satisfy the gray world assumption. In our experiments, we used three kinds of illuminants (i.e., CIE standard illuminants A and D65, and a fluorescent light) and two kinds of data sets. One data set satisfies the gray world assumption, and the other does not. Experiment results show that estimated illuminants are closer to the correct ones than those obtained with the conventional method and the estimation error for both using CIE standard illuminants A and D65 by our method are within the barely noticeable difference in human color perception.

Paper Details

Date Published: 7 February 2011
PDF: 12 pages
Proc. SPIE 7873, Computational Imaging IX, 787312 (7 February 2011); doi: 10.1117/12.872398
Show Author Affiliations
Harumi Kawamura, Nippon Telegraph and Telephone Corp. (Japan)
Shunichi Yonemura, Waseda Univ. (Japan)
Jun Ohya, Waseda Univ. (Japan)
Norihiko Matsuura, Nippon Telegraph and Telephone Corp. (Japan)

Published in SPIE Proceedings Vol. 7873:
Computational Imaging IX
Charles A. Bouman; Ilya Pollak; Patrick J. Wolfe, Editor(s)

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