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Please use this identifier to cite or link to this item: https://digital.lib.ueh.edu.vn/handle/UEH/60889
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dc.contributor.authorSurya Prasath, V.B.-
dc.contributor.otherThanh, D.N.H.-
dc.contributor.otherHieu, L.M.-
dc.contributor.otherThanh, L.T.-
dc.date.accessioned2020-12-09T06:55:08Z-
dc.date.available2020-12-09T06:55:08Z-
dc.date.issued2021-
dc.identifier.issn0923-6082-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85095579425&doi=10.1007%2fs11045-020-00747-8&partnerID=40&md5=55e36f7289afc2434325dee9d348168d-
dc.identifier.urihttp://digital.lib.ueh.edu.vn/handle/UEH/60889-
dc.description.abstractWe study a multiscale tensor regularization based JPEG decompression artifact removal in digital images. Structure tensor eigenvalues based robust edge map is used within a variable exponent regularization. Variational constrained minimization which combines data fidelity driven by color subsampling and discrete cosine transformation operator is utilized. Experimental results across different compression levels and with various error metrics indicate our proposed method obtains high quality results on cartoon/clip-art and LIVE1 natural image databases.en
dc.formatPortable Document Format (PDF)-
dc.language.isoeng-
dc.publisherSpringer-
dc.relation.ispartofMultidimensional Systems and Signal Processing-
dc.relation.ispartofseriesVol. 32-
dc.rightsSpringer Science+Business Media, LLC, part of Springer Nature.-
dc.subjectArtifact reductionen
dc.subjectEdge preservingen
dc.subjectJPEG deblockingen
dc.subjectMultiscaleen
dc.subjectRegularizationen
dc.subjectStructure tensoren
dc.subjectConstrained optimizationen
dc.subjectDiscrete cosine transformsen
dc.subjectEigenvalues and eigenfunctionsen
dc.subjectImage codingen
dc.subjectMetadataen
dc.subjectArtifact removalen
dc.subjectCompression artifactsen
dc.subjectConstrained minimizationen
dc.subjectData fidelityen
dc.subjectDiscrete cosine transformationen
dc.subjectNatural image databaseen
dc.subjectStructure tensorsen
dc.subjectVariable exponentsen
dc.subjectTensorsen
dc.titleCompression artifacts reduction with multiscale tensor regularizationen
dc.typeJournal Articleen
dc.identifier.doihttps://doi.org/10.1007/s11045-020-00747-8-
dc.format.firstpage251-
dc.format.lastpage231-
ueh.JournalRankingScopus, ISI-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.fulltextOnly abstracts-
item.openairetypeJournal Article-
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