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Proceedings Paper

Image coding by perceptual pruning with a cortical snapshot indistinguishability criterion
Author(s): Michael J. Horowitz; David L. Neuhoff
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Paper Abstract

We introduce an image coding algorithm in which perceptual pruning is used to select the most perceptually relevant image components. The algorithm uses a new maximum likelihood based image indistinguishability criterion that derives from a cortical snapshot, which is a model of the response of striate cortical simple cells to the image at a given point of fixation. The criterion must be satisfied at all points of fixation. We demonstrate that this method selects image components in a better way than matching pursuit and show image coding results of high subjective quality at low encoding rates.

Paper Details

Date Published: 17 July 1998
PDF: 10 pages
Proc. SPIE 3299, Human Vision and Electronic Imaging III, (17 July 1998); doi: 10.1117/12.320154
Show Author Affiliations
Michael J. Horowitz
David L. Neuhoff, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 3299:
Human Vision and Electronic Imaging III
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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