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dc.contributor.authorGan, XC
dc.contributor.authorLiew, AWC
dc.contributor.authorYan, H
dc.date.accessioned2017-05-03T15:20:11Z
dc.date.available2017-05-03T15:20:11Z
dc.date.issued2005
dc.date.modified2009-03-18T07:23:10Z
dc.identifier.issn0262-8856
dc.identifier.doi10.1016/j.imavis.2005.05.001
dc.identifier.urihttp://hdl.handle.net/10072/21800
dc.description.abstractIn blocking artifacts reduction based on the projection onto convex sets (POCS) technique, good constraint sets are very important. Until recently, smoothness constraint sets (SCS) are often formulated in the image domain, whereas quantization constraint set is defined in the block-based discrete cosine transform (BDCT) domain. Thus, frequent BDCT transform is inevitable in alternative projections. In this paper, based on signal and quantization noise statistics, we proposed a novel smoothness constraint set in the BDCT transform domain via the Wiener filtering concept. Experiments show that POCS using this smoothness constraint set not only has good convergence but also has better objective and subjective performance. Moreover, this set can be used as extra constraint set to improve most existing POCS-based image postprocessing methods.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier Science
dc.publisher.placeNetherlands
dc.publisher.urihttp://www.sciencedirect.com/science/journal/02628856
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom731
dc.relation.ispartofpageto737
dc.relation.ispartofissue8
dc.relation.ispartofjournalImage and Vision Computing
dc.relation.ispartofvolume23
dc.rights.retentionY
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchElectrical and Electronic Engineering
dc.subject.fieldofresearchcode0801
dc.subject.fieldofresearchcode0906
dc.titleA Smoothness Constraint Set based on Local Statistics of BDCT Coefficients for Image Postprocessing
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2005
gro.hasfulltextNo Full Text
gro.griffith.authorLiew, Alan Wee-Chung


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