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Proceedings Paper

Two-Channel Model Of Image Processing In The Human Retina
Author(s): Douglas Granrath; B. R. Hunt
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Paper Abstract

A model describing the decomposition of imagery in the human retina is developed based on the retina's cellular structure. Two types of retinal cells, horizontals and amacrines, perform spatial averaging across the retina to form a low-pass image channel. This low spatial frequency information is fed back to the retina's receptor cells to form a difference channel of high-passed spatial frequencies. Such a model is suggested by electro-physiological as wll as psychophysical evidence. Analysis of the model characterizes the low-pass channel as a constrast channel and the difference channel as an edge detection channel. Application of the model to image quality assessment suggests a two factor approach involving metrics in the model's eye domain.

Paper Details

Date Published: 2 November 1979
PDF: 8 pages
Proc. SPIE 0199, Advances in Display Technology, (2 November 1979); doi: 10.1117/12.958050
Show Author Affiliations
Douglas Granrath, University of Arizona (United States)
B. R. Hunt, University of Arizona (United States)


Published in SPIE Proceedings Vol. 0199:
Advances in Display Technology
John R. Parsons, Editor(s)

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