Abstract

We model color contrast sensitivity for Gabor patches as a function of spatial frequency, luminance and chromacity of the background, modulation direction in the color space and stimulus size. To fit the model parameters, we combine the data from five independent datasets, which let us make predictions for background luminance levels between 0.0002 cd/m2 and 10 000 cd/m2, and for spatial frequencies between 0.06 cpd and 32 cpd. The data are well-explained by two models: a model that encodes cone contrast and a model that encodes postreceptoral, opponent-color contrast. Our intention is to create practical models, which can well explain the detection performance for natural viewing in a wide range of conditions. As our models are fitted to the data spanning very large range of luminance, they can find applications in modeling visual performance for high dynamic range and augmented reality displays.

Highlights

  • Contrast sensitivity functions (CSFs) model how well a human observer can detect a simple visual stimulus, such as a Gabor patch of certain spatial frequency, background color and luminance, size and the modulation direction in a color space

  • We model color contrast sensitivity for Gabor patches as a function of spatial frequency, luminance and chromacity of the background, modulation direction in the color space and stimulus size

  • To fit the model parameters, we combine the data from five independent datasets, which let us make predictions for background luminance levels between 0.0002 cd/m2and 10 000 cd/m2, and for spatial frequencies between 0.06 cpd and 32 cpd

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Summary

Introduction

Contrast sensitivity functions (CSFs) model how well a human observer can detect a simple visual stimulus, such as a Gabor patch of certain spatial frequency, background color and luminance, size and the modulation direction in a color space. Such CSFs model the detection performance of visual system for low contrast, barely noticeable stimuli, shown on uniform backgrounds. Little work has been done to characterize contrast sensitivity for contrast modulation in arbitrary chromatic directions for large variations of background luminance, ranging from low scotopic to bright photopic levels. We provide the parameters and Matlab code for both models

Related Work
Fixed-cycles Stimuli
Background chromaticities custom gray
Postreceptoral Contrast
Results
Conclusions
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