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 - 1984

Publication series

NameProceedings - International Conference on Pattern Recognition

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Fingerprint

Dive into the research topics of 'COMPUTER MODEL OF HUMAN RETINAL VISUAL PROCESSING: EFFECT OF COPRESSIVE NONLINEARITY ON SPATIAL-FREQUENCY FILTERS.'. Together they form a unique fingerprint.

Cite this