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Proceedings Paper

Multiple input adaptive image restoration algorithms
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Paper Abstract

In this paper image restoration applications where multiple distorted versions of the same original image are available, are considered. A general adaptive restoration algorithm is derived based on a set theoretic regularization technique. The adaptivity of the algorithm is introduced in two ways : a) by a constraint operator which incorporates properties of the response of the human visual system into the restoration process, and b) by a weight matrix which assigns greater importance for the deconvolution process to areas of high spatial activity than to areas of low spatial activity. Different degrees of trust are assigned to the various distorted images depending on the amount of noise. Experimental results obtained by an iterative implementation of the proposed algotihms are presented.

Paper Details

Date Published: 1 September 1990
PDF: 12 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24152
Show Author Affiliations
Aggelos K. Katsaggelos, Northwestern Univ. (United States)

Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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