Simultaneous Iterative Image Restoration and Evaluation of the Regularization Parameter

M. G. Kang, A. K. Katsaggelos

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)


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
Issue number9
Publication statusPublished - 1992 Sept

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering


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