Contrast Sensitivity

Contrast sensitivity, the ability to discern differences in luminance or color across spatial and temporal frequencies, is a crucial aspect of visual perception. Current research focuses on developing accurate computational models of contrast sensitivity, incorporating factors like chromatic adaptation, spatial masking, and the influence of image statistics, often leveraging advanced generative models and information-theoretic approaches to predict human perception. These models find applications in improving image and video quality assessment, designing better displays (including AR/VR), and enhancing machine vision systems by accounting for the limitations and biases of color perception in artificial intelligence. Ultimately, a deeper understanding of contrast sensitivity promises to bridge the gap between human and machine vision, leading to more realistic and effective visual technologies.