Show simple item record

dc.contributor.authorGan, Xiangchaoen_US
dc.contributor.authorLiew, Alan Wee-Chungen_US
dc.contributor.authorYan, Hongen_US
dc.date.accessioned2017-05-03T15:20:21Z
dc.date.available2017-05-03T15:20:21Z
dc.date.issued2006en_US
dc.date.modified2009-03-18T07:22:40Z
dc.identifier.issn10473203en_US
dc.identifier.doi10.1016/j.jvcir.2006.02.002en_AU
dc.identifier.urihttp://hdl.handle.net/10072/21793
dc.description.abstractIn image restoration, the region of support of the point spread function is often much smaller than the size of the observed degraded image and this property is utilized in many image deconvolution algorithms. For the constrained total least squares (CTLS)-based algorithm, it means that the solution of the CTLS algorithm should retain the block-circulant and sparse structure of the degradation matrix simultaneously. In real image restoration problems, the CTLS method often involves large-scale computation and is often solved using Mesarovic et al.'s algorithm. However, there is concern about whether their algorithm preserves the sparse structure of the degradation matrix. In this paper, we prove that by imposing an extra constraint, the sparse structure in their algorithm can be preserved. Then, we use the projection onto convex sets algorithm to find a solution to this extended formulation. Our experimental study indicates that the proposed method performs competitively, and often better, in terms of visual and objective evaluations.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherAcademic Pressen_US
dc.publisher.placeUSAen_US
dc.publisher.urihttp://www.sciencedirect.com/science/journal/10473203en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom986en_US
dc.relation.ispartofpageto1003en_US
dc.relation.ispartofissue5en_US
dc.relation.ispartofjournalJournal of Visual Communication and Image Representationen_US
dc.relation.ispartofvolume17en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280203en_US
dc.titleA POCS-based Constrained Total Least Squares Algorithm for Image Restorationen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.date.issued2006
gro.hasfulltextNo Full Text


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record