Combining optical and neural components in physiological visual image quality metrics as functions of luminance and age
Combining optical and neural components in physiological visual image quality metrics as functions of luminance and age
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DOI：
10.1167/jov.20.7.20
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发表时间：
2020-07-01
影响因子：
1.8
通讯作者：
Applegate, Raymond A.
中科院分区：
文献类型：
--
作者：
Hastings, Gareth D.;Marsack, Jason D.;Applegate, Raymond A.
视觉图像质量度量联合收割机将视觉光学（来自波前误差）的全面描述与视觉系统的神经处理（神经对比敏感度）的测量相结合。为了提高这些指标跟踪视觉表现的真实世界变化的能力，并研究这些光学和神经成分在作为年龄和目标亮度的函数的中央凹视觉图像质量中的作用和相互作用，根据文献构建神经对比敏感度的模型，作为（1）视网膜照度（Trolands，td）和（2）视网膜照度和年龄的函数。然后将这些模型纳入视觉Strehl比（VSX）的计算中。最佳校正的VSX值是在10（4）至10（-3）cd/m（2）的目标亮度的生理瞳孔大小为146眼跨越60年的年龄。度量的光学和神经组件以三种方式相互作用并有助于视觉图像质量。在目标亮度下，导致生理瞳孔大小>900 td，神经处理是恒定的，并且只有像差（随着瞳孔大小随亮度变化而变化）影响度量。在低于瞳孔大小渐近线到最大值的低中间视觉亮度下，光学器件是恒定的（最大瞳孔），并且只有神经成分随着亮度而变化。在这两个级别之间，度量的光学和神经组件都受到目标亮度变化的影响。考虑视网膜照度和年龄的模型使VSX（称为VSX（td，a））能够最好地跟踪视敏度趋势（在160和200 cd/m（2）下测量）作为年龄（20多岁至70多岁）的函数。文献。最佳校正VSX（td，a）在最年轻的眼睛中在最大和最小目标亮度之间减小2.24 log单位，在最老的眼睛中减小2.58 log单位。
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 10(4) to 10(-3) cd/m(2) 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 constant (maximum pupil), and only the neural component changes with luminance. Between these two levels, both optical and neural components of the metrics are affected by changes in target luminance. The model that accounted for both retinal illuminance and age allowed VSX, termed VSX(td,a), to best track visual acuity trends (measured at 160 and 200 cd/m(2)) as a function of age (20s through 70s) from the literature. Best-corrected VSX(td,a) decreased by 2.24 log units between maximum and minimum target luminances in the youngest eyes and by 2.58 log units in the oldest.The decrease due to age was more gradual at high target luminances (0.70 log units) and more pronounced as target luminance decreased (1.04 log units).