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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 41, Iss. 23 — Aug. 10, 2002
  • pp: 4840–4847

Nonlinear estimation of spectral reflectance based on Gaussian mixture distribution for color image reproduction

Yuri Murakami, Takashi Obi, Masahiro Yamaguchi, and Nagaaki Ohyama  »View Author Affiliations


Applied Optics, Vol. 41, Issue 23, pp. 4840-4847 (2002)
http://dx.doi.org/10.1364/AO.41.004840


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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

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

History
Original Manuscript: January 15, 2002
Revised Manuscript: April 15, 2002
Published: August 10, 2002

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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