Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11655
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLaw, NF-
dc.creatorSiu, WC-
dc.date.accessioned2014-12-19T04:14:04Z-
dc.date.available2014-12-19T04:14:04Z-
dc.identifier.urihttp://hdl.handle.net/10397/11655-
dc.descriptionInternational Conference on Image Processing (ICIP'99), Kobe, Jpn, 24-28 October 1999en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleAdaptive shrinkage algorithm for ringing suppression with smoothness constrainten_US
dc.typeConference Paperen_US
dc.identifier.spage364-
dc.identifier.epage368-
dc.identifier.volume3-
dcterms.abstractA non-iterative wavelet-based algorithm was proposed to reduce the ringing artifacts associated with a lossy compressed image. The proposed algorithm is based on the fact that increases in magnitude of the quantized wavelet coefficients lead to decreases in visual smoothness. Thus a shrinkage algorithm is applied to maintain visual smoothness. The proposed algorithm is, however, adaptive in nature, in which the amount of shrinkage depends on edge strength, region activity, and compression ratio. Experimental results have confirmed that the adaptive algorithm could suppress the ringing artifacts and improve visual smoothness, especially around edges where ringing is severe.-
dcterms.bibliographicCitationIEEE International Conference on Image Processing, 1999, v. 3, p. 364-368-
dcterms.issued1999-
dc.identifier.scopus2-s2.0-0033309285-
dc.relation.ispartofbookIEEE International Conference on Image Processing, 1999-
dc.relation.conferenceIEEE International Conference on Image Processing [ICIP]-
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