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Generalized spectral decomposition: a theory and practice to spectral reconstruction |
JOSA A, Vol. 28, Issue 8, pp. 1545-1553 (2011)
http://dx.doi.org/10.1364/JOSAA.28.001545
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Abstract
The generalized spectral decomposition (GSD) theorem is introduced, and the generalized fundamental stimulus and metameric black are analyzed to show how they convey the valuable features in terms of color information. The suggestion would be considered as the generalization of Cohen and Kappauf’s matrix R theory and its later application in parameric correction by Fairman. The GSD theorem provides a modular model whose arguments can be elaborately set up for high-performance spectral recovery. It is also shown that the suggested methods for spectral decomposition and/or spectral reconstruction proposed by different researchers could be considered as special cases of GSD.
© 2011 Optical Society of America
OCIS Codes
(330.1690) Vision, color, and visual optics : Color
(330.1710) Vision, color, and visual optics : Color, measurement
(330.1730) Vision, color, and visual optics : Colorimetry
ToC Category:
Vision, Color, and Visual Optics
History
Original Manuscript: November 30, 2010
Revised Manuscript: May 16, 2011
Manuscript Accepted: May 16, 2011
Published: July 6, 2011
Virtual Issues
Vol. 6, Iss. 9 Virtual Journal for Biomedical Optics
Citation
Shahram Peyvandi and Seyed Hossein Amirshahi, "Generalized spectral decomposition: a theory and practice to spectral reconstruction," J. Opt. Soc. Am. A 28, 1545-1553 (2011)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=josaa-28-8-1545
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