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Conference Paper: A novel entropy-constrained adaptive quantization scheme for wavelet pyramid image coding

TitleA novel entropy-constrained adaptive quantization scheme for wavelet pyramid image coding
Authors
KeywordsCommunications
Issue Date1996
PublisherIEEE.
Citation
International Conference on Communications Technology Proceedings (ICCT 1996), Beijing, China, 5-7 May 1996, v. 2, p. 666-669 How to Cite?
AbstractThe orthogonal wavelet transform with filters of nonlinear phase gives poor visual results in low bit rate image coding. The biorthogonal wavelet is a good substitute, which is, however essentially nonorthogonal. A greedy steepest descent algorithm is proposed to design an adaptive quantization scheme based on the actual statistics of the input image. Since the L2 norm of the quantization error is not preserved through the nonorthogonal transform, a quantization error estimation formula considering the characteristic value of the reconstruction filters is derived to incorporate the adaptive quantization scheme. Computer simulation results demonstrate significant SNR gains over standard coding techniques, and comparable visual improvements.
Persistent Identifierhttp://hdl.handle.net/10722/45953

 

DC FieldValueLanguage
dc.contributor.authorNi, JQen_HK
dc.contributor.authorHo, KLen_HK
dc.contributor.authorTse, KWen_HK
dc.date.accessioned2007-10-30T06:39:21Z-
dc.date.available2007-10-30T06:39:21Z-
dc.date.issued1996en_HK
dc.identifier.citationInternational Conference on Communications Technology Proceedings (ICCT 1996), Beijing, China, 5-7 May 1996, v. 2, p. 666-669en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45953-
dc.description.abstractThe orthogonal wavelet transform with filters of nonlinear phase gives poor visual results in low bit rate image coding. The biorthogonal wavelet is a good substitute, which is, however essentially nonorthogonal. A greedy steepest descent algorithm is proposed to design an adaptive quantization scheme based on the actual statistics of the input image. Since the L2 norm of the quantization error is not preserved through the nonorthogonal transform, a quantization error estimation formula considering the characteristic value of the reconstruction filters is derived to incorporate the adaptive quantization scheme. Computer simulation results demonstrate significant SNR gains over standard coding techniques, and comparable visual improvements.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofInternational Conference on Communication Technology Proceedings (ICCT)-
dc.rights©1996 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.subjectCommunicationsen_HK
dc.titleA novel entropy-constrained adaptive quantization scheme for wavelet pyramid image codingen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailHo, KL: klho@eee.hku.hk-
dc.identifier.emailTse, KW: kwtse@eee.hku.hk-
dc.identifier.authorityHo, KL=rp00117-
dc.identifier.authorityTse, KW=rp00180-
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICCT.1996.544971en_HK
dc.identifier.scopuseid_2-s2.0-0029697980-
dc.identifier.hkuros13271-
dc.identifier.volume2-
dc.identifier.spage666-
dc.identifier.epage669-
dc.identifier.scopusauthoridNi, JQ=7201636714-
dc.identifier.scopusauthoridHo, KL=7403581592-
dc.identifier.scopusauthoridTse, KW=7102609851-
dc.customcontrol.immutablesml 151116 - merged-

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