Image-detector model and parameters of the human visual system*

Publisher Website
Google Scholar
Abstract
An image-detector model of the visual system is described. Analysis of detection-probability data combined with signal-to-noise analysis of contrast-sensitivity data yield the fundamental visual-system parameters required to predict image-detection performance. The results for background luminances ranging from 10−3 to 102 millilamberts include the values of the threshold detection criterion or signal-to-noise ratio, the response time, the effective responsive quantum efficiency, the effective angular width of the point spread function, and the effective angular width of the maximum photoreceptor field belonging to the minimum-bandwidth spatial filter. Excellent agreement between theoretical curves and experimental data is shown.

This publication has 13 references indexed in Scilit: