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dc.contributor.authorWu, BFen_US
dc.contributor.authorSu, CYen_US
dc.date.accessioned2014-12-08T15:45:59Z-
dc.date.available2014-12-08T15:45:59Z-
dc.date.issued1999-12-01en_US
dc.identifier.issn0165-1684en_US
dc.identifier.urihttp://dx.doi.org/10.1016/S0165-1684(99)00104-8en_US
dc.identifier.urihttp://hdl.handle.net/11536/30929-
dc.description.abstractThis study presents two sets of translation invariant wavelet transforms for coding an arbitrarily shaped image. Each set can be viewed as a shape-adaptive discrete wavelet transform (SA-DWT) with the property of translation invariance. The proposed transform schemes have the following merits: (1) they are translation invariant, (2) no sharp transition appears at the edges of the image, (3) the number of pixels is maintained constant after transformation, (4) the correlation of pixels is fully exploited, and (5) the property of self-similarity across scales is preserved. (C) 1999 Elsevier Science B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectarbitrarily shaped image codingen_US
dc.subjecttranslation invarianten_US
dc.subjectshape-adaptive discrete wavelet transformen_US
dc.titleArbitrarily shaped image coding by using translation invariant wavelet transformsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/S0165-1684(99)00104-8en_US
dc.identifier.journalSIGNAL PROCESSINGen_US
dc.citation.volume79en_US
dc.citation.issue3en_US
dc.citation.spage309en_US
dc.citation.epage314en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000084385000008-
dc.citation.woscount2-
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