Image resolution by simulated bipolar cells of the human central fovea

Robert Siminoff

doi:10.1117/12.19664

1 October 1990 Image resolution by simulated bipolar cells of the human central fovea

Robert Siminoff

Proceedings Volume 1249, Human Vision and Electronic Imaging: Models, Methods, and Applications; (1990) https://doi.org/10.1117/12.19664
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States

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.

Citation Download Citation

Robert Siminoff "Image resolution by simulated bipolar cells of the human central fovea", Proc. SPIE 1249, Human Vision and Electronic Imaging: Models, Methods, and Applications, (1 October 1990); https://doi.org/10.1117/12.19664

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KEYWORDS

Cones

Image resolution

Visualization

Computer simulations

Fourier transforms

Matrices

Retina

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