Document Detail

Spectral statistics in natural scenes predict hue, saturation, and brightness.
MedLine Citation:
PMID:  16595630     Owner:  NLM     Status:  MEDLINE    
The perceptual color qualities of hue, saturation, and brightness do not correspond in any simple way to the physical characteristics of retinal stimuli, a fact that poses a major obstacle for any explanation of color vision. Here we test the hypothesis that these basic color attributes are determined by the statistical covariations in the spectral stimuli that humans have always experienced in typical visual environments. Using a database of 1,600 natural images, we analyzed the joint probability distributions of the physical variables most relevant to each of these perceptual qualities. The cumulative density functions derived from these distributions predict the major colorimetric functions that have been reported in psychophysical experiments over the last century.
Fuhui Long; Zhiyong Yang; Dale Purves
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2006-04-04
Journal Detail:
Title:  Proceedings of the National Academy of Sciences of the United States of America     Volume:  103     ISSN:  0027-8424     ISO Abbreviation:  Proc. Natl. Acad. Sci. U.S.A.     Publication Date:  2006 Apr 
Date Detail:
Created Date:  2006-04-12     Completed Date:  2006-06-09     Revised Date:  2013-06-07    
Medline Journal Info:
Nlm Unique ID:  7505876     Medline TA:  Proc Natl Acad Sci U S A     Country:  United States    
Other Details:
Languages:  eng     Pagination:  6013-8     Citation Subset:  IM    
Department of Neurobiology and Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.
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MeSH Terms
Color Perception / physiology*
Discrimination (Psychology) / physiology
Optical Illusions
Photic Stimulation
Sensitivity and Specificity
Visual Perception / physiology*

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