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

Journal of Vision
Gareth D HastingsRaymond A Applegate

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 to 10-3 cd/m2 for 146 eyes spanning six decades of age. Optical and neural components of the metrics interact and contribute to visual image quality in three ways. At target luminances resulting in >900 td at physiological pupil size, neural processing is constant, and only aberrations (that change as pupil size changes with luminance) affect the metric. At low mesopic luminances below where pupil size asymptotes to maximum, optics are constan...Continue Reading

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Citations

Oct 3, 2020·Journal of Vision·Michael O WilkinsonLarry N Thibos
Aug 10, 2020·Ophthalmic & Physiological Optics : the Journal of the British College of Ophthalmic Opticians (Optometrists)·Chuan HuJason D Marsack
Sep 13, 2021·Optometry and Vision Science : Official Publication of the American Academy of Optometry·Charles E LerouxFabrice Bardin

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