Frequency domain adaptive iterative image restoration and evaluation of the regularization parameter

Moon G. Kang*, Aggelos K. Katsaggelos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper a nonlinear frequency domain adaptive regularized iterative image restoration algorithm is proposed, according to which the regularization parameter is frequency dependent and is updated at each iteration step. The development of the algorithm is based on a set theoretical regularization approach, where bounds on the error residual and the stabilizing functional are updated in the frequency domain at each iteration step. Sufficient conditions for the convergence of the algorithm are derived and experimental results are shown.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages1414-1424
Number of pages11
Editionpt 3
ISBN (Print)0819410187
StatePublished - Dec 1 1992
EventVisual Communications and Image Processing '92 - Boston, MA, USA
Duration: Nov 18 1992Nov 20 1992

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Numberpt 3
Volume1818
ISSN (Print)0277-786X

Other

OtherVisual Communications and Image Processing '92
CityBoston, MA, USA
Period11/18/9211/20/92

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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