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Conference Paper: Finite state lattice vector quantization for wavelet-based image coding

TitleFinite state lattice vector quantization for wavelet-based image coding
Authors
KeywordsElectronics
Issue Date1997
PublisherIEEE.
Citation
Proceedings - Ieee International Symposium On Circuits And Systems, 1997, v. 2, p. 1137-1140 How to Cite?
AbstractIt is well known that there exists strong energy correlation between various subbands of a real-world image. A new powerful technique of Finite State Vector Quantization (FSVQ) has been introduced to fully exploit the self-similarity of the image in wavelet domain across different scales. Lattices in RN have considerable structure, and hence, Lattice VQ offers the promise of design simplicity and reduced complexity encoding. The combination of FSVQ and LVQ gives rise to the so-called FSLVQ, which is proved to be successful in exploiting the energy correlation across scales and simple enough in implementation.
DescriptionIEEE International Symposium on Circuits and Systems, Hong Kong, China, 9-12 June 1997
Persistent Identifierhttp://hdl.handle.net/10722/45988
ISSN

 

DC FieldValueLanguage
dc.contributor.authorNi, JQen_HK
dc.contributor.authorHo, KLen_HK
dc.contributor.authorTse, KWen_HK
dc.date.accessioned2007-10-30T06:40:05Z-
dc.date.available2007-10-30T06:40:05Z-
dc.date.issued1997en_HK
dc.identifier.citationProceedings - Ieee International Symposium On Circuits And Systems, 1997, v. 2, p. 1137-1140en_HK
dc.identifier.issn0271-4310en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45988-
dc.descriptionIEEE International Symposium on Circuits and Systems, Hong Kong, China, 9-12 June 1997-
dc.description.abstractIt is well known that there exists strong energy correlation between various subbands of a real-world image. A new powerful technique of Finite State Vector Quantization (FSVQ) has been introduced to fully exploit the self-similarity of the image in wavelet domain across different scales. Lattices in RN have considerable structure, and hence, Lattice VQ offers the promise of design simplicity and reduced complexity encoding. The combination of FSVQ and LVQ gives rise to the so-called FSLVQ, which is proved to be successful in exploiting the energy correlation across scales and simple enough in implementation.en_HK
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dc.format.extent8028 bytes-
dc.format.extent3821 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofProceedings - IEEE International Symposium on Circuits and Systemsen_HK
dc.rights©1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectElectronicsen_HK
dc.titleFinite state lattice vector quantization for wavelet-based image codingen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0271-4302&volume=2&spage=1137&epage=1140&date=1997&atitle=Finite+state+lattice+vector+quantization+for+wavelet-based+image+codingen_HK
dc.identifier.emailHo, KL: klho@eee.hku.hken_HK
dc.identifier.emailTse, KW: kwtse@eee.hku.hken_HK
dc.identifier.authorityHo, KL=rp00117en_HK
dc.identifier.authorityTse, KW=rp00180en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ISCAS.1997.621965en_HK
dc.identifier.scopuseid_2-s2.0-0030654909en_HK
dc.identifier.hkuros26528-
dc.identifier.volume2en_HK
dc.identifier.spage1137en_HK
dc.identifier.epage1140en_HK
dc.identifier.scopusauthoridNi, JQ=7201636714en_HK
dc.identifier.scopusauthoridHo, KL=7403581592en_HK
dc.identifier.scopusauthoridTse, KW=7102609851en_HK

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