Simultaneous multichannel image restoration and estimation of the regularization parameters

Moon Gi Kang, Aggelos K. Katsaggelos

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

In this correspondence, a constrained least-squares multichannel image restoration approach is proposed, in which no prior knowledge of the noise variance at each channel or the degree of smoothness of the original image is required. The regularization functional for each channel is determined by incorporating both within-channel and cross-channel information. It is shown that the proposed smoothing functional has a global minimizer.

Original languageEnglish
Pages (from-to)774-778
Number of pages5
JournalIEEE Transactions on Image Processing
Volume6
Issue number5
DOIs
Publication statusPublished - 1997 Dec 1

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Image reconstruction

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design

Cite this

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Simultaneous multichannel image restoration and estimation of the regularization parameters. / Kang, Moon Gi; Katsaggelos, Aggelos K.

In: IEEE Transactions on Image Processing, Vol. 6, No. 5, 01.12.1997, p. 774-778.

Research output: Contribution to journalArticle

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