Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1489
Title: Optimal choice of local regularization weights in iterative image restoration
Authors: Choy, Steven S. O.
Chan, Yuk-hee
Siu, Wan-chi
Subjects: Algorithms
Heuristic methods
Image quality
Iterative methods
Matrix algebra
Optimization
Issue Date: 1996
Publisher: IEEE
Source: 1996 IEEE International Symposium on Circuits and Systems : circuits and systems connecting the world : ISCAS Atlanta 96, May 12-15, v.2, p. 604-607.
Abstract: In the study of space-variant regularization for image restoration, little effort has been devoted to the search of optimal local regularization weights. In this paper, we address how to derive the optimal local regularization weights in the context of iterative image restoration. The optimal relationship between the two weight matrices for local regularization is derived, and, based on that relationship, a proper choice of the weight matrices is then presented. The results we derived provide a mathematical backup of the viability of some heuristic solutions suggested in the literature.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1489
ISBN: 0-7803-3073-0
Appears in Collections:EE Conference Papers & Presentations

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