Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1533
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorChoy, SSO-
dc.creatorChan, YH-
dc.creatorSiu, WC-
dc.date.accessioned2014-12-11T08:24:53Z-
dc.date.available2014-12-11T08:24:53Z-
dc.identifier.issn1350-245X-
dc.identifier.urihttp://hdl.handle.net/10397/1533-
dc.language.isoenen_US
dc.publisherThe Institution of Engineering and Technologyen_US
dc.rights© IEE, 2000. This paper is a postprint of a paper submitted to and accepted for publication in IEE Proceedings-Vision, Image and Signal Processing and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.en_US
dc.subjectUncorrelated transform domainen_US
dc.subjectImage restorationen_US
dc.subjectRegularisationen_US
dc.subjectSpatial contenten_US
dc.subjectUncorrelated componentsen_US
dc.subjectDecorrelationen_US
dc.subjectEdge regionsen_US
dc.subjectSpatially adaptive weightingen_US
dc.subjectDCTen_US
dc.subjectDFTen_US
dc.subjectKLTen_US
dc.titleImage restoration by regularisation in uncorrelated transform domainen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: S. O. Choyen_US
dc.description.otherinformationAuthor name used in this publication: Y. H. Chanen_US
dc.description.otherinformationAuthor name used in this publication: W. C. Siuen_US
dc.description.otherinformationCentre for Multimedia Signal Processing, Department of Electronic and Information Engineeringen_US
dc.identifier.spage587-
dc.identifier.epage594-
dc.identifier.volume147-
dc.identifier.issue6-
dc.identifier.doi10.1049/ip-vis:20000383-
dcterms.abstractConventional spatially adaptive regularised image restoration schemes weight the amount of regularisation according to the spatial content of an image. The authors first separately decorrelate the signals under analysis into uncorrelated components and then weight the amount of regularisation performed to these components accordingly. The proposed approach works better than conventional schemes, especially in edge regions.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEE proceedings. Vision, image and signal processing, Dec. 2000, v. 147, no. 6, p. 587-594-
dcterms.isPartOfIEE proceedings. Vision, image, and signal processing-
dcterms.issued2000-12-
dc.identifier.isiWOS:000167096000015-
dc.identifier.scopus2-s2.0-0034430727-
dc.identifier.eissn1359-7108-
dc.identifier.rosgroupidr02005-
dc.description.ros2000-2001 > Academic research: refereed > Publication in refereed journal-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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