Quasi-interpolatory refinable functions and construction of biorthogonal wavelet systems

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dc.contributor.authorKim, Hong Ohko
dc.contributor.authorKim, Rae Youngko
dc.contributor.authorLee, Yeon Juko
dc.contributor.authorYoon, Junghoko
dc.date.accessioned2013-03-09T02:26:45Z-
dc.date.available2013-03-09T02:26:45Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2010-10-
dc.identifier.citationADVANCES IN COMPUTATIONAL MATHEMATICS, v.33, no.3, pp.255 - 283-
dc.identifier.issn1019-7168-
dc.identifier.urihttp://hdl.handle.net/10203/95123-
dc.description.abstractWe present a new family of compactly supported and symmetric biorthogonal wavelet systems. Each refinement mask in this family has tension parameter omega. When omega = 0, it becomes the minimal length biorthogonal Coifman wavelet system (Wei et al., IEEE Trans Image Proc 7:1000-1013, 1998). Choosing omega away from zero, we can get better smoothness of the refinable functions at the expense of slightly larger support. Though the construction of the new biorthogonal wavelet systems, in fact, starts from a new class of quasi-interpolatory subdivision schemes, we find that the refinement masks accidently coincide with the ones by Cohen et al. (Comm Pure Appl Math 45:485-560, 1992, A 6.C) (or Daubechies 1992, A 8.3.5), which are designed for the purpose of generating biorthogonal wavelets close to orthonormal cases. However, the corresponding mathematical analysis is yet to be provided. In this study, we highlight the connection between the quasi-interpolatory subdivision schemes and the masks by Cohen, Daubechies and Feauveau, and then we study the fundamental properties of the new biorthogonal wavelet systems such as regularity, stability, linear independence and accuracy.-
dc.languageEnglish-
dc.publisherSPRINGER-
dc.subjectCOMPACTLY SUPPORTED WAVELETS-
dc.subjectORTHONORMAL BASES-
dc.subjectPSEUDO-SPLINES-
dc.subjectTRANSFORM-
dc.subjectFRAMELETS-
dc.titleQuasi-interpolatory refinable functions and construction of biorthogonal wavelet systems-
dc.typeArticle-
dc.identifier.wosid000281667600001-
dc.identifier.scopusid2-s2.0-77956429185-
dc.type.rimsART-
dc.citation.volume33-
dc.citation.issue3-
dc.citation.beginningpage255-
dc.citation.endingpage283-
dc.citation.publicationnameADVANCES IN COMPUTATIONAL MATHEMATICS-
dc.identifier.doi10.1007/s10444-009-9129-4-
dc.contributor.localauthorKim, Hong Oh-
dc.contributor.nonIdAuthorKim, Rae Young-
dc.contributor.nonIdAuthorLee, Yeon Ju-
dc.contributor.nonIdAuthorYoon, Jungho-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorSubdivision-
dc.subject.keywordAuthorCoifman wavelet-
dc.subject.keywordAuthorBiorthogonal wavelet-
dc.subject.keywordAuthorMultiresolution analysis-
dc.subject.keywordAuthorQuasi-interpolation-
dc.subject.keywordAuthorRefinable function-
dc.subject.keywordAuthorRegularity-
dc.subject.keywordAuthorLinear independence-
dc.subject.keywordPlusCOMPACTLY SUPPORTED WAVELETS-
dc.subject.keywordPlusORTHONORMAL BASES-
dc.subject.keywordPlusPSEUDO-SPLINES-
dc.subject.keywordPlusTRANSFORM-
dc.subject.keywordPlusFRAMELETS-
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