Back to articles
Articles
Volume: 26 | Article ID: art00054
Image
Modelling Contrast Sensitivity for Chromatic Temporal Modulations
  DOI :  10.2352/ISSN.2169-2629.2018.26.324  Published OnlineNovember 2018
Abstract

The temporal contrast sensitivity to isoluminant chromatic flicker was measured for three observers using the method of adjustment. The isoluminant stimuli were created for each observer individually, based on a technique similar to heterochromatic flicker photometry. The chromatic flicker stimuli were sinusoidal modulations, defined in the CIE 1976 UCS (u', v') chromaticity diagram. The chromaticity varied around a base color along a certain modulation direction with a certain amplitude at a certain frequency. Nine base colors, four modulation directions and seven frequencies were used, resulting in thirty-six temporal contrast sensitivity curves per observer. An exponential model was fitted to the resulting contrast sensitivity expressed as 1/Δ(u', v'), 1/ΔLMS and 1/Δlms. The model resulted in an average R2 value higher than 0.93 for the three different measures of contrast sensitivity. The two parameters of the model (i.e. the slope β1 and intercept β0) were found to significantly depend on the base color and direction of the chromatic modulation. This means that Δ(u', v'), ΔLMS and Δlms are not suitable measures to predict the sensitivity to temporal chromatic modulations in different locations of the color space.

Subject Areas :
Views 16
Downloads 6
 articleview.views 16
 articleview.downloads 6
  Cite this article 

Xiangzhen Kong, Mijael R. Bueno Pérez, Ingrid M.L.C. Vogels, Dragan Sekulovski, Ingrid Heynderickx, "Modelling Contrast Sensitivity for Chromatic Temporal Modulationsin Proc. IS&T 26th Color and Imaging Conf.,  2018,  pp 324 - 329,  https://doi.org/10.2352/ISSN.2169-2629.2018.26.324

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2018
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society for Imaging Science and Technology