Takayuki HASEGAWA, Koichi IINO, Norimichi TSUMURA, Toshiya NAKAGUCHI, YoichiMIYAKE
Graduate School of Advanced Integrated Science, Chiba University, Inage-ku,
Chiba, Japan
The Journal of the institute of image electronics engineer of Japan (Accepted to be published in Vol.38, No.4, pp.375-384, 2009 ).
Abstract
Part I of this article proposed a novel method that predicts colorimetric
values of an object under an arbitrary illuminant from an RGB image photographed
by a digital still camera. In this paper, the performance of the proposed
method is evaluated. Computer simulations were carried out to evaluate
the color prediction accuracy for various combinations of illuminants,
camera sensitivities, object categories, and population data used for constructing
color prediction models. The results show that the proposed method outperforms
conventional methods in terms of both accuracy and robustness against selection
of population data. An experiment using a digital camera image also showed
that the proposed method is of practical use for actual images.
Key words: metamer estimation, object color prediction, digital still camera
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