<title>Image resolution by simulated bipolar cells of the human central fovea</title>

Abstract

A computer simulation of a static model of bipolar cells (BC) of the human central fovea is presented. Data from human observers and primate experiments are incorported when available. Resolution (two-point discrimination) is quantified in the space and frequency domains. Nonpreference for orientation, i.e. , resolution does not change with orientation of two bars separated by a variable gap, is optimal for a specific fixed cone matrix and a BC receptive field organization. Resolution increases asymptotically as width, length, or gap between two bars increases. There is a critcial size of the two-bar stimulus above which resolution is independent of cone matrix and BC receptive field organization. Resolution changes systematically with color and intensity contrasts. There is a good correlation between resolutions determined in the space and frequency domains. The computer simulation is used to determine the parameters for optimal resolution of symbology such as the alphabetic characters.