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Proceedings Paper

Image quality evaluation with a contour-based perceptual model
Author(s): Timothy A. Grogan; David P. Keene
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Paper Abstract

A computational model for the human perception of image brightness utilizing both local and global interactions has been advanced by Grossberg, Mingolla and Todorovic. A simulation of this multi-layer, non-linear recurrent network model can be used to assess perceived image quality. The model is validated by examining the simulation of a classical brightness perception phenomenon, in particular, Glass patterns. Results of a comparative evaluation of three halftoning algorithms are offered which indicate that the model is useful for the evaluation of image processing algorithms. Human subjects ranked the quality of the images halftoned with each of three different algorithms at two different viewing distances. After processing by the brightness perception model, ranking of objective measures of the simulated model output correspond with the rankings assigned by human observers.

Paper Details

Date Published: 27 August 1992
PDF: 10 pages
Proc. SPIE 1666, Human Vision, Visual Processing, and Digital Display III, (27 August 1992); doi: 10.1117/12.135967
Show Author Affiliations
Timothy A. Grogan, Univ. of Cincinnati (United States)
David P. Keene, Guardian Technologies, Inc. (United States)

Published in SPIE Proceedings Vol. 1666:
Human Vision, Visual Processing, and Digital Display III
Bernice E. Rogowitz, Editor(s)

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