Back to articles
Volume: 28 | Article ID: art00050
Art, interpersonal comparisons of color experience, and potential tetrachromacy
  DOI :  10.2352/ISSN.2470-1173.2016.16.HVEI-145  Published OnlineFebruary 2016

Artistic representation of naturalistic scenes makes use of a range of visual processing features, and color and illumination are two that are frequently employed as strong dimensional emphases, especially in the medium of painting. Variations in human retinal photopigment classes are known to effect perception of light and color, and produce color appearance processing differences across individuals. We empirically investigated color perception in genotyped individuals with a potential for greater than three retinal photopigment classes compared to controls. We investigate both professional artists and non-artist participants using psychophysical designs that employed low-level motion processing of isoluminant color stimuli. Psychophysical results are used to design image-processing filters to identify components of visual scenes processed differently by potential tetrachromat observers. One filter converts values of psychophysically observed differences into a color scale, providing a first-order approximation of how inter-observer variation may impact spatial and chromatic features of natural scene processing. These simulations provide informative visualizations, across a range of scenes, allowing a normal trichromat observer to note specific portions of visual scenes that a potential tetrachromat observer may uniquely experience, and, suggest what portions of a scene a potential tetrachromat artist may be expected to paint in a uniquely artistic manner.

Subject Areas :
Views 73
Downloads 23
 articleview.views 73
 articleview.downloads 23
  Cite this article 

Kimberly A Jameson, Alissa D Winkler, Keith Goldfarb, "Art, interpersonal comparisons of color experience, and potential tetrachromacyin Proc. IS&T Int’l. Symp. on Electronic Imaging: Human Vision and Electronic Imaging,  2016,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
Electronic Imaging
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA