Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1492
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dc.contributorDepartment of Electrical Engineering-
dc.creatorChoy, SSO-
dc.creatorChan, YH-
dc.creatorSiu, WC-
dc.date.accessioned2014-12-11T08:26:29Z-
dc.date.available2014-12-11T08:26:29Z-
dc.identifier.isbn0-8186-8183-7-
dc.identifier.urihttp://hdl.handle.net/10397/1492-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectBlock codesen_US
dc.subjectComputational complexityen_US
dc.subjectCorrelation methodsen_US
dc.subjectCost effectivenessen_US
dc.subjectImage codingen_US
dc.subjectImage compressionen_US
dc.subjectImage qualityen_US
dc.subjectMatrix algebraen_US
dc.subjectParameter estimationen_US
dc.subjectStandardsen_US
dc.titleA new approach for restoring block-transform coded images with estimation of correlation matricesen_US
dc.typeConference Paperen_US
dcterms.abstractThis paper presents a new restoration approach to reduce coding artifacts in block-transform image coding. Different from conventional restoration techniques, the proposed one is non-iterative and requires light computational cost, yet can reconstruct objectively and subjectively better images. This good performance is achieved because of the following advantages the proposed approach has: (i) efficient incorporation of the solution bound into restoration; and (ii) effective exploitation of local image properties and statistical knowledge about the quantizers used.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational Conference on Image Processing : proceedings : October 26-29, 1997, Santa Barbara, California, v.2, p. 342-345-
dcterms.issued1997-
dc.identifier.isiWOS:A1997BJ90B00087-
dc.relation.ispartofbookInternational Conference on Image Processing : proceedings : October 26-29, 1997, Santa Barbara, California-
dc.relation.conferenceIEEE International Conference on Image Processing [ICIP]-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
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