SIMULTANEOUS ITERATIVE IMAGE-RESTORATION AND EVALUATION OF THE REGULARIZATION PARAMETER

被引：36

作者：

KANG, MG

KATSAGGELOS, AK

机构：

[1] Department of Electrical Engineering and Computer Science, McCormick School of Engineering and Applied Science, Northwestern University, Evanston

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1992年 / 40卷 / 09期

关键词：

D O I：

10.1109/78.157234

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this correspondence, a nonlinear regularized iterative image restoration algorithm is proposed, according to which only the noise variance is assumed to be known in advance. The algorithm results from a set theoretic regularization approach, where a bound of the stabilizing functional, and therefore the regularization parameter, are updated at each iteration step. Sufficient conditions for the convergence of the algorithm are derived and experimental results are shown.

引用

页码：2329 / 2334

页数：6

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