COMPUTER MODEL OF HUMAN RETINAL VISUAL PROCESSING: EFFECT OF COPRESSIVE NONLINEARITY ON SPATIAL-FREQUENCY FILTERS.

David Heeger, Jacob Nachmias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A computer model of retinal visual processing is implemented which accounts for threshold detectability of 1-dimensional grating stimuli. The model explores the possibility that the visual system's nonlinear response to luminance affects descrimination of supra-threshold gratings. Widely separated spatial-frequencies may interact even if independent spatial-frequency channels (DOG filters) exist.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherIEEE
Pages506-508
Number of pages3
ISBN (Print)0818605456
StatePublished - Dec 1 1984

Publication series

NameProceedings - International Conference on Pattern Recognition

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Heeger, D., & Nachmias, J. (1984). COMPUTER MODEL OF HUMAN RETINAL VISUAL PROCESSING: EFFECT OF COPRESSIVE NONLINEARITY ON SPATIAL-FREQUENCY FILTERS. In Proceedings - International Conference on Pattern Recognition (pp. 506-508). (Proceedings - International Conference on Pattern Recognition). IEEE.