Simultaneous Iterative Image Restoration and Evaluation of the Regularization Parameter

M. G. Kang, A. K. Katsaggelos

Research output: Contribution to journalArticle

45 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 languageEnglish
Pages (from-to)2329-2334
Number of pages6
JournalIEEE Transactions on Signal Processing
Volume40
Issue number9
DOIs
Publication statusPublished - 1992 Sep

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Simultaneous Iterative Image Restoration and Evaluation of the Regularization Parameter'. Together they form a unique fingerprint.

  • Cite this