Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1510
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dc.contributorDepartment of Electrical Engineering-
dc.creatorHong, SW-
dc.creatorChan, YH-
dc.creatorSiu, WC-
dc.date.accessioned2014-12-11T08:26:27Z-
dc.date.available2014-12-11T08:26:27Z-
dc.identifier.isbn0-8186-7310-9-
dc.identifier.urihttp://hdl.handle.net/10397/1510-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 1995 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.subjectComputer simulationen_US
dc.subjectDigital filtersen_US
dc.subjectImage codingen_US
dc.subjectImage compressionen_US
dc.subjectPerformanceen_US
dc.subjectSpurious signal noiseen_US
dc.subjectStandardsen_US
dc.titleSubband adaptive regularization method for removing blocking effecten_US
dc.typeConference Paperen_US
dcterms.abstractThis paper presents two new approaches to remove blocking effect in low-bit rate transform coded images by using subband decomposition/reconstruction technique. They are designed to act as a supplementary post-processing step of the JPEG standard. Both approaches make use of the noise characteristic of each subband to bound the maximum tolerable error and the smoothness of the restored images in restoring subband images with regularization. One of them will also utilize the spatial activity of the restoring images to tighten the bounds. Computer simulations showed that the new adaptive objective functions could achieve a better restoration performance in terms of both subjective and objective measures than did other conventional objective functions.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational Conference on Image Processing : proceedings : October 23-26, 1995, Washington, D.C., v. 2, p. 523-526-
dcterms.issued1995-
dc.identifier.isiWOS:A1995BE52H00297-
dc.identifier.scopus2-s2.0-0029736468-
dc.relation.ispartofbookInternational Conference on Image Processing : proceedings : October 23-26, 1995, Washington, D.C.-
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
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