Dalimier Eugénie, Dainty Chris
Applied Optics Group, Department of Experimental Physics, National University of Ireland, Galway, Ireland.
J Opt Soc Am A Opt Image Sci Vis. 2008 Aug;25(8):2078-87. doi: 10.1364/josaa.25.002078.
Customized optical filtering and light-dependent neural filtering were implemented in an ideal-observer model for an L-alternative forced-choice visual task. The model was applied to a contrast threshold visual task with adaptive optics correction of ocular higher-order (HO) aberrations under different light regimes, for which experimental data have previously been obtained (J. Mod. Opt.55, 791, 2008). A separability measure was used to assess the model-observer performance and to investigate the joint effect of optical and neural filtering. The numerical results were consistent with the experimental data in the assessment of the effect of HO aberrations as a function of light level.
在一个用于L-选项强制选择视觉任务的理想观察者模型中实现了定制光学滤波和光依赖神经滤波。该模型被应用于一个对比度阈值视觉任务，该任务在不同光照条件下对眼高阶（HO）像差进行了自适应光学校正，此前已获得了相关实验数据（《现代光学杂志》55, 791, 2008）。使用了一种可分离性度量来评估模型观察者的性能，并研究光学滤波和神经滤波的联合效应。在评估HO像差作为光水平函数的效应时，数值结果与实验数据一致。
