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Proceedings Paper

Illuminant estimation for multichannel images
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Paper Abstract

Multi-channel imaging gains more and more applications because of its advantage in better color reproduction and better spectral representation to avoid metamerism problem. Illuminant estimation for multi-channel images is not widely studied because most illuminant estimation methods are applied to trichromatic images. In this paper, some common illuminant estimation methods such as gray world and maximum RGB are extended to multi-channel images. Five methods are evaluated for multi-channel images including gray world, maximum RGB, Maloney-Wandell method, modified illuminant detection in linear space and reflectance constraint illuminant detection. The methods are evaluated in terms of illuminant detection efficiency through estimating the illuminant correlated color temperature. Among them, the method of reflectance constraint illuminant detection has the best efficiency. In addition, the former three methods, which were only used in illuminant estimation for three-channel images before, are attempted in illuminant spectral recovery. The recovery efficiencies are evaluated through comparing the difference between the recovered spectral distributions and the original ones. Maloney-Wandell method has large efficiency improvement when the number of channels increases from three to four. It also has the best spectral recovery among the three tested methods when the channel number is more than three.

Paper Details

Date Published: 17 January 2005
PDF: 10 pages
Proc. SPIE 5667, Color Imaging X: Processing, Hardcopy, and Applications, (17 January 2005); doi: 10.1117/12.585567
Show Author Affiliations
Xiaoyun Jiang, Qualcomm Inc. (United States)
Mark D. Fairchild, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5667:
Color Imaging X: Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu, Editor(s)

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