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Proceedings Paper

Fast Adaptive Iterative Imag Restoration Algorithms
Author(s): Serafim N. Efstratiadis; Aggelos K. Katsaggelos
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Paper Abstract

In this paper fast adaptive iterative image restoration algorithms are proposed. These algorithms are based on a class of nonadaptive restoration algorithms ihich exhibit a first or higher order of convergence and some of them consist of an on-line and an off-line -computational part. Since only the linear algorithm can take a computationally feasible adaptive formulation, an iterative algorithm which combines the linear adaptive and the higher order nonadaptive algorithms is proposed. An adaptive window size method is followed in the implementation of the linear adaptive algorithm, rithm, which improves the restoration results. A method to update the computation of the measure of the bcal activity only in the near edge areas is also proposed, thus resulting in great computational savings. Finally, experimental results are presented.

Paper Details

Date Published: 25 October 1988
PDF: 9 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.968933
Show Author Affiliations
Serafim N. Efstratiadis, Northwestern University (United States)
Aggelos K. Katsaggelos, Northwestern University (United States)


Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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