Combining optical and neural components in physiological visual image quality metrics as functions of luminance and age.

ABSTRACT: Visual image quality metrics combine comprehensive descriptions of ocular optics (from wavefront error) with a measure of the neural processing of the visual system (neural contrast sensitivity). To improve the ability of these metrics to track real-world changes in visual performance and to investigate the roles and interactions of those optical and neural components in foveal visual image quality as functions of age and target luminance, models of neural contrast sensitivity were constructed from the literature as functions of (1) retinal illuminance (Trolands, td), and (2) retinal illuminance and age. These models were then incorporated into calculation of the visual Strehl ratio (VSX). Best-corrected VSX values were determined at physiological pupil sizes over target luminances of 104

SUBMITTER: Hastings GD 

PROVIDER: S-EPMC7424108 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature