Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1513
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dc.contributorDepartment of Electrical Engineering-
dc.creatorHong, SW-
dc.creatorChan, YH-
dc.creatorSiu, WC-
dc.date.accessioned2014-12-11T08:26:28Z-
dc.date.available2014-12-11T08:26:28Z-
dc.identifier.isbn0-7803-3258-X-
dc.identifier.urihttp://hdl.handle.net/10397/1513-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 1996 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.subjectAlgorithmsen_US
dc.subjectBlock codesen_US
dc.subjectBoundary value problemsen_US
dc.subjectImage codingen_US
dc.subjectImage compressionen_US
dc.subjectImage qualityen_US
dc.subjectReal time systemsen_US
dc.titleA practical real-time post-processing technique for block effect eliminationen_US
dc.typeConference Paperen_US
dcterms.abstractIn this paper, a non-iterative post-processing method is proposed to restore the images encoded with block-based compression standards such as JPEG. This method classifies small local boundary regions according to their intensity distribution and then select appropriate linear predictors to estimate the corresponding boundary pixels in the regions. This approach is easy to be implemented and we found in our simulations that its restoration performance was very respectable compared with the reported post-processing methods.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational Conference on Image Processing : proceedings : September 16-19, 1996, Lausanne, Switzerland, v. 2, p. 21-24-
dcterms.issued1996-
dc.identifier.isiWOS:A1996BG63F00006-
dc.relation.ispartofbookInternational Conference on Image Processing : proceedings : September 16-19, 1996, Lausanne, Switzerland-
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
Appears in Collections:Conference Paper
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