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

Full Article  |  PDF Article
OSA Recommended Articles
Spectral color constancy using a maximum entropy approach

Sandra Skaff and James J. Clark
J. Opt. Soc. Am. A 28(11) 2385-2399 (2011)

Brightness perception of unrelated self-luminous colors

Martijn Withouck, Kevin A. G. Smet, Wouter R. Ryckaert, Michael R. Pointer, Geert Deconinck, Jan Koenderink, and Peter Hanselaer
J. Opt. Soc. Am. A 30(6) 1248-1255 (2013)

Entropy, color, and color rendering

Luke L. A. Price
J. Opt. Soc. Am. A 29(12) 2557-2565 (2012)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (7)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (57)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription