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Article: Statistical modelling of the wavelet coefficients with different bases and decomposition levels

TitleStatistical modelling of the wavelet coefficients with different bases and decomposition levels
Authors
Issue Date2004
Citation
Iee Proceedings: Vision, Image And Signal Processing, 2004, v. 151 n. 3, p. 203-206 How to Cite?
AbstractVarious wavelet coefficient statistics are useful to increase the compression efficiency of images. The distribution of the wavelet coefficients within a sub-band affects how the decompression values should be adjusted. A generalised Gaussian distribution model is seen to be applicable from a theoretical point of view, and a convenient way is provided to estimate the parameters from the empirical data. This knowledge is applied to examine the best statistical modelling of the wavelet coefficients for different wavelet bases and decomposition levels. © IEE, 2004.
Persistent Identifierhttp://hdl.handle.net/10722/73696
ISSN
2006 Impact Factor: 0.461
2009 SCImago Journal Rankings: 0.450
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLam, EYen_HK
dc.date.accessioned2010-09-06T06:53:53Z-
dc.date.available2010-09-06T06:53:53Z-
dc.date.issued2004en_HK
dc.identifier.citationIee Proceedings: Vision, Image And Signal Processing, 2004, v. 151 n. 3, p. 203-206en_HK
dc.identifier.issn1350-245Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/73696-
dc.description.abstractVarious wavelet coefficient statistics are useful to increase the compression efficiency of images. The distribution of the wavelet coefficients within a sub-band affects how the decompression values should be adjusted. A generalised Gaussian distribution model is seen to be applicable from a theoretical point of view, and a convenient way is provided to estimate the parameters from the empirical data. This knowledge is applied to examine the best statistical modelling of the wavelet coefficients for different wavelet bases and decomposition levels. © IEE, 2004.en_HK
dc.languageengen_HK
dc.relation.ispartofIEE Proceedings: Vision, Image and Signal Processingen_HK
dc.titleStatistical modelling of the wavelet coefficients with different bases and decomposition levelsen_HK
dc.typeArticleen_HK
dc.identifier.emailLam, EY:elam@eee.hku.hken_HK
dc.identifier.authorityLam, EY=rp00131en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1049/ip-vis:20040398en_HK
dc.identifier.scopuseid_2-s2.0-3242747486en_HK
dc.identifier.hkuros88829en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-3242747486&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume151en_HK
dc.identifier.issue3en_HK
dc.identifier.spage203en_HK
dc.identifier.epage206en_HK
dc.identifier.isiWOS:000222602700008-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLam, EY=7102890004en_HK

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