Document Detail

The prediction of hue and saturation for non-spectral lights.
MedLine Citation:
PMID:  8533335     Owner:  NLM     Status:  MEDLINE    
The Jameson and Hurvich opponent-colors model of hue and saturation was tested for spectral and non-spectral lights. Four observers described the color of lights by scaling hue and saturation. The lights ranged from 440 to 640 nm and consisted of five purities: 1.0, 0.80, 0.60, 0.40 and 0.20. Admixtures of monochromatic and a xenon-white light yielded the different colorimetric purities. For each subject, chromatic response functions were measured by the method of hue cancellation at each purity, and an achromatic response function was measured by the method of heterochromatic flicker photometry for spectral lights. Chromatic response functions measured for a particular purity and the achromatic response function were used to predict hue and saturation for that purity. The model successfully predicted hue at each level of purity, but failed to predict precisely the Abney effect. The model made relatively poor predictions of saturation, tending to overestimate short-wave lights and underestimate long-wave lights. An additional experiment found that stimulus parameters that favor rod contribution weaken the model's predictions of saturation, while stimulus parameters that do not favor rod contribution improve the model's predictions of saturation.
T D Kulp; K Fuld
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Vision research     Volume:  35     ISSN:  0042-6989     ISO Abbreviation:  Vision Res.     Publication Date:  1995 Nov 
Date Detail:
Created Date:  1996-01-29     Completed Date:  1996-01-29     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  0417402     Medline TA:  Vision Res     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  2967-83     Citation Subset:  IM    
Department of Psychology, University of New Hampshire, Durham 03824, USA.
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MeSH Terms
Color Perception / physiology*
Models, Biological

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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