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

Moon G. Kang, Aggelos K. Katsaggelos

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

1 Citation (Scopus)

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
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages1414-1424
Number of pages11
Volume1818
Editionpt 3
ISBN (Print)0819410187
Publication statusPublished - 1992 Dec 1
EventVisual Communications and Image Processing '92 - Boston, MA, USA
Duration: 1992 Nov 181992 Nov 20

Other

OtherVisual Communications and Image Processing '92
CityBoston, MA, USA
Period92/11/1892/11/20

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Fingerprint Dive into the research topics of 'Frequency domain adaptive iterative image restoration and evaluation of the regularization parameter'. Together they form a unique fingerprint.

  • Cite this

    Kang, M. G., & Katsaggelos, A. K. (1992). Frequency domain adaptive iterative image restoration and evaluation of the regularization parameter. In Proceedings of SPIE - The International Society for Optical Engineering (pt 3 ed., Vol. 1818, pp. 1414-1424). Publ by Int Soc for Optical Engineering.