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Nonlinear estimation of spectral reflectance based on Gaussian mixture distribution for color image reproduction
Yuri Murakami1, Takashi Obi, Masahiro Yamaguchi
1Tokyo Institute of Technology, Frontier Collaborative Research Center and the Telecommunications Advancement Organization of Japan. yuri@isl.titech.ac.jp
Applied Optics
|August 29, 2002
Abstract:
Nonlinear estimation method of spectral reflectance from camera responses is proposed. The proposed method minimizes the mean square error of spectral reflectance when the reflectance can be regarded as a random sequence of Gaussian mixture distribution. In computer simulations, 168 samples of spectral reflectance from a color chart are estimated from their image signals obtained by three- and six-band cameras. It is confirmed that the proposed method improves the accuracy in comparison with the conventional Wiener estimation method.