A spectral theory of color perception
JOSA A, Vol. 26, Issue 12, pp. 2488-2502 (2009)
http://dx.doi.org/10.1364/JOSAA.26.002488
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Abstract
The paper adopts the philosophical stance that colors are real and can be identified with spectral models based on the photoreceptor signals. A statistical setting represents spectral profiles as probability density functions. This permits the use of analytic tools from the field of information geometry to determine a new kind of color space and structure deriving therefrom. In particular, the metric of the color space is shown to be the Fisher information matrix. A maximum entropy technique for spectral modeling is proposed that takes into account measurement noise. Theoretical predictions provided by our approach are compared with empirical colorfulness and color similarity data.
© 2009 Optical Society of America
OCIS Codes
(330.1690) Vision, color, and visual optics : Color
(330.1720) Vision, color, and visual optics : Color vision
(330.4060) Vision, color, and visual optics : Vision modeling
ToC Category:
Vision, Color, and Visual Optics
History
Original Manuscript: February 17, 2009
Revised Manuscript: September 17, 2009
Manuscript Accepted: September 29, 2009
Published: November 4, 2009
Virtual Issues
Vol. 5, Iss. 1 Virtual Journal for Biomedical Optics
Citation
James J. Clark and Sandra Skaff, "A spectral theory of color perception," J. Opt. Soc. Am. A 26, 2488-2502 (2009)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=josaa-26-12-2488
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