Approaching ideal observer efficiency in using color to retrieve information from natural scenes
JOSA A, Vol. 26, Issue 11, pp. B14-B24 doi:10.1364/JOSAA.26.000B14
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- OCIS Codes:
- (330.1690) Vision, color, and visual optics : Color
- (330.1720) Vision, color, and visual optics : Color vision
- (330.1880) Vision, color, and visual optics : Detection
- (330.4060) Vision, color, and visual optics : Vision modeling
- (330.1715) Vision, color, and visual optics : Color, rendering and metamerism
- (110.3055) Imaging systems : Information theoretical analysis
Citation
David H. Foster, Iván Marín-Franch, Kinjiro Amano, and Sérgio M. C. Nascimento, "Approaching ideal observer efficiency in using color to retrieve information from natural scenes," J. Opt. Soc. Am. A 26, B14-B24 (2009)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-26-11-B14
Abstract
Variations in illumination on a scene and trichromatic sampling by the eye limit inferences about scene content. The aim of this work was to elucidate these limits in relation to an ideal observer using color signals alone. Simulations were based on 50 hyperspectral images of natural scenes and daylight illuminants with correlated color temperatures 4000 K, 6500 K, and 25,000 K. Estimates were made of the (Shannon) information available from each scene, the redundancies in receptoral and postreceptoral coding, and the information retrieved by an observer identifying corresponding points across image pairs. For the largest illuminant difference, between 25,000 K and 4000 K, a postreceptoral transformation providing minimum redundancy yielded an efficiency of about 80% in the information retrieved. This increased to about 89% when the transformation was optimized directly for information retrieved, corresponding to an equivalent Gaussian noise amplitude of 3.0% or to a mean of 3.6×104 distinct identifiable points per scene. Using color signals to retrieve information from natural scenes can approach ideal observer efficiency levels.
© 2009 Optical Society of America
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History
Original Manuscript: February 2, 2009
Manuscript Accepted: July 12, 2009
Revised Manuscript: June 17, 2009
Published: August 31, 2009
References
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Author Affiliations
University of Manchester
University of Minho
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