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Title: Optimal choice of local regularization weights in iterative image restoration
Authors: Choy, SSO
Chan, YH 
Siu, WC 
Issue Date: 1996
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.
Keywords: Algorithms
Heuristic methods
Image quality
Iterative methods
Matrix algebra
Publisher: IEEE
ISBN: 0-7803-3073-0
Rights: © 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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