Nonlinear Estimation of Spectral Reflectance Based on Gaussian Mixture Distribution for Color Image Reproduction
Applied Optics, Vol. 41, Issue 23, pp. 4840-4847 (2002)
http://dx.doi.org/10.1364/AO.41.004840
Acrobat PDF (377 KB)
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.
© 2002 Optical Society of America
[Optical Society of America ]
OCIS Codes
(100.2000) Image processing : Digital image processing
(100.3190) Image processing : Inverse problems
(300.6550) Spectroscopy : Spectroscopy, visible
(330.1690) Vision, color, and visual optics : Color
Citation
Yuri Murakami, Takashi Obi, Masahiro Yamaguchi, and Nagaaki Ohyama, "Nonlinear Estimation of Spectral Reflectance Based on Gaussian Mixture Distribution for Color Image Reproduction," Appl. Opt. 41, 4840-4847 (2002)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-41-23-4840
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