Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1534
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dc.contributorDepartment of Electrical Engineering-
dc.creatorChoy, SSO-
dc.creatorChan, YH-
dc.creatorSiu, WC-
dc.date.accessioned2014-12-11T08:28:59Z-
dc.date.available2014-12-11T08:28:59Z-
dc.identifier.issn0091-3286-
dc.identifier.urihttp://hdl.handle.net/10397/1534-
dc.language.isoenen_US
dc.publisherSPIE-International Society for Optical Engineeringen_US
dc.rightsCopyright 1998 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en_US
dc.subjectImage restorationen_US
dc.subjectImage noise smoothingen_US
dc.subjectAdaptive LMMSE estimationen_US
dc.subjectLocal statisticsen_US
dc.subjectDecorrelationen_US
dc.titleAdaptive image noise filtering using transform domain local statisticsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2290-
dc.identifier.epage2296-
dc.identifier.volume37-
dc.identifier.issue8-
dc.identifier.doi10.1117/1.601750-
dcterms.abstractImage noise filtering has been widely perceived as an estimation problem in the spatial domain. In this paper, we deal with it as an estimation problem in an uncorrelated transform domain. This idea leads to a generalization of the adaptive LMMSE estimator for filtering noisy images. In our proposed method, the transform-domain local statistics obtained from the noisy image are exploited. Due to the fact that the transform-domain local statistics carry more information about the image than the spatial-domain local statistics do, improvement in noise filtering is gained overall and particularly significant in the vicinity of edges.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationOptical engineering, Aug. 1998, v. 37, no. 8, p. 2290-2296-
dcterms.isPartOfOptical engineering-
dcterms.issued1998-08-
dc.identifier.isiWOS:000075578100017-
dc.identifier.scopus2-s2.0-0000996918-
dc.identifier.eissn1560-2303-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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