A separate least squares algorithm for efficient arithmetic coding in lossless image compression

dc.contributor.authorTriantafyllidis, G. A.
dc.contributor.authorStrintzis, M. G.
dc.contributor.editorSkala, Václav
dc.date.accessioned2015-09-21T06:05:46Z
dc.date.available2015-09-21T06:05:46Z
dc.date.issued2001
dc.description.abstract-translatedThe overall performance of discrete wavelet transforms for losssless image compression may be further improved by properly designing efficient entropy coders. In this paper a novel technique is proposed for the implementation of context-based adaptive arithmetic entropy coding. It is based on the prediction of the value of the current transform coefficient. The proposed algorithm employs a weighted least squares method applied separately for the HH, HL and LH bands of each level of the multiresolution structure, in order to achieve appropriate context selection for arithmetic coding. Experimental results illustrate and evaluate the performance of the proposed technique for lossless image compression.en
dc.format5 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationJournal of WSCG. 2001, vol. 9, no. 1-3.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (online)
dc.identifier.urihttp://hdl.handle.net/11025/15773
dc.identifier.urihttp://wscg.zcu.cz/wscg2001/WSCG2001_Program.htm
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.rights.accessopenAccessen
dc.subjectnejmenší čtvercecs
dc.subjectaritmetické kódovánícs
dc.subjectvýběr kontextucs
dc.subjectbezztrátové zpracování obrazucs
dc.subject.translatedleast squaresen
dc.subject.translatedarithmetic codingen
dc.subject.translatedcontext selectionen
dc.subject.translatedlossless image processingen
dc.titleA separate least squares algorithm for efficient arithmetic coding in lossless image compressionen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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