Back to articles
Articles
Volume: 29 | Article ID: art00017
Image
Modeling chromatic contrast sensitivity across different background colors and luminance
  DOI :  10.2352/issn.2169-2629.2021.29.99  Published OnlineNovember 2021
Abstract

In this research we compare chromatic contrast sensitivity models for two separate datasets and for the pooled dataset. They were obtained from two studies employing a very similar experimental paradigm. The data represent threshold visibilities of chromatic Gabor patterns varying in spatial frequency, background chromaticity, direction of color modulation and luminance, at constant stimulus size. Using the extended data set, we reconfirm our previously reported finding that a model based on coloropponent contrast signals is an improvement over a cone contrast model. However, when linear background scaling in classic cone contrast is replaced by nonlinear background scaling, an improvement of almost similar size is obtained. The results of this study can be of interest for the development of vision models employing the processing of spatio-chromatic information.

Subject Areas :
Views 21
Downloads 7
 articleview.views 21
 articleview.downloads 7
  Cite this article 

Marcel Lucassen, Dragan Sekulovski, Marc Lambooij, Qiang Xu, Ronnier Luo, "Modeling chromatic contrast sensitivity across different background colors and luminancein Proc. IS&T 29th Color and Imaging Conf.,  2021,  pp 99 - 104,  https://doi.org/10.2352/issn.2169-2629.2021.29.99

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2021
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA