Two-Channel Model Of Image Processing In The Human Retina

Douglas Granrath; B. R. Hunt

doi:10.1117/12.958050

2 November 1979 Two-Channel Model Of Image Processing In The Human Retina

Douglas Granrath, B. R. Hunt

Proceedings Volume 0199, Advances in Display Technology; (1979) https://doi.org/10.1117/12.958050
Event: 23rd Annual Technical Symposium, 1979, San Diego, United States

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.

Citation Download Citation

Douglas Granrath and B. R. Hunt "Two-Channel Model Of Image Processing In The Human Retina", Proc. SPIE 0199, Advances in Display Technology, (2 November 1979); https://doi.org/10.1117/12.958050

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