Optimal choice of local regularization weights in iterative image restoration

Steven S O Choy, Yuk Hee Chan, Wan Chi Siu

Research output: Journal article publicationConference articleAcademic researchpeer-review

1 Citation (Scopus)


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 validity of some heuristic solutions suggested in the literature.
Original languageEnglish
Pages (from-to)604-607
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Publication statusPublished - 1 Jan 1996
EventProceedings of the 1996 IEEE International Symposium on Circuits and Systems, ISCAS. Part 1 (of 4) - Atlanta, GA, United States
Duration: 12 May 199615 May 1996

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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