Simultaneous Iterative Image Restoration and Evaluation of the Regularization Parameter

M. G. Kang; A. K. Katsaggelos

doi:10.1109/78.157234

Simultaneous Iterative Image Restoration and Evaluation of the Regularization Parameter

M. G. Kang, A. K. Katsaggelos

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

47 Citations (Scopus)

Abstract

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 re suits 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.

Original language	English
Pages (from-to)	2329-2334
Number of pages	6
Journal	IEEE Transactions on Signal Processing
Volume	40
Issue number	9
DOIs	https://doi.org/10.1109/78.157234
Publication status	Published - 1992 Sept

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering

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10.1109/78.157234

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abstract = "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 re suits 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.",

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Simultaneous Iterative Image Restoration and Evaluation of the Regularization Parameter

Abstract

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