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Proceedings Paper

Perceptual image distortion
Author(s): Patrick C. Teo; David J. Heeger
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Paper Abstract

In this paper, we present a perceptual distortion measure that predicts image integrity far better than mean-squared error. This perceptual distortion measure is based on a model of human visual processing that fits empirical measurements of: (1) the response properties of neurons in the primary visual cortex, and (2) the psychophysics of spatial pattern detection. We also illustrate the usefulness of the model in measuring perceptual distortion in real images.

Paper Details

Date Published: 1 May 1994
PDF: 15 pages
Proc. SPIE 2179, Human Vision, Visual Processing, and Digital Display V, (1 May 1994); doi: 10.1117/12.172664
Show Author Affiliations
Patrick C. Teo, Stanford Univ. (United States)
David J. Heeger, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 2179:
Human Vision, Visual Processing, and Digital Display V
Bernice E. Rogowitz; Jan P. Allebach, Editor(s)

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