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Article: Wavelet image coding based on significance extraction using morphological operations

TitleWavelet image coding based on significance extraction using morphological operations
Authors
Issue Date1999
Citation
Iee Proceedings: Vision, Image And Signal Processing, 1999, v. 146 n. 4, p. 206-210 How to Cite?
AbstractAn algorithm is proposed for improving Servetto et al.'s method of morphological representation of wavelet data (MRWD), which is among the most efficient wavelet-based image compression algorithms. In MRWD, morphological dilation is used to capture and encode the arbitrarily shaped clusters of significant coefficients within each subband and high compression is achieved. But there are still several deficiencies for rectification in MRWD. An efficient image compression algorithm is proposed, in which, for each subband, morphological dilation is first used to extract and encode the clustered significant coefficients, and the remaining space is encoded in an efficient way. Instead of encoding the large number of zeros one by one, only the small number of remaining significant coefficients and their positional information are encoded. Experimental results show that this improvement is very effective, especially for images with large and relatively smooth regions.
Persistent Identifierhttp://hdl.handle.net/10722/73964
ISSN
2006 Impact Factor: 0.461
2009 SCImago Journal Rankings: 0.450
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZhong, JMen_HK
dc.contributor.authorLeung, CHen_HK
dc.contributor.authorTang, YYen_HK
dc.date.accessioned2010-09-06T06:56:28Z-
dc.date.available2010-09-06T06:56:28Z-
dc.date.issued1999en_HK
dc.identifier.citationIee Proceedings: Vision, Image And Signal Processing, 1999, v. 146 n. 4, p. 206-210en_HK
dc.identifier.issn1350-245Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/73964-
dc.description.abstractAn algorithm is proposed for improving Servetto et al.'s method of morphological representation of wavelet data (MRWD), which is among the most efficient wavelet-based image compression algorithms. In MRWD, morphological dilation is used to capture and encode the arbitrarily shaped clusters of significant coefficients within each subband and high compression is achieved. But there are still several deficiencies for rectification in MRWD. An efficient image compression algorithm is proposed, in which, for each subband, morphological dilation is first used to extract and encode the clustered significant coefficients, and the remaining space is encoded in an efficient way. Instead of encoding the large number of zeros one by one, only the small number of remaining significant coefficients and their positional information are encoded. Experimental results show that this improvement is very effective, especially for images with large and relatively smooth regions.en_HK
dc.languageengen_HK
dc.relation.ispartofIEE Proceedings: Vision, Image and Signal Processingen_HK
dc.titleWavelet image coding based on significance extraction using morphological operationsen_HK
dc.typeArticleen_HK
dc.identifier.emailLeung, CH:chleung@eee.hku.hken_HK
dc.identifier.authorityLeung, CH=rp00146en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1049/ip-vis:19990556en_HK
dc.identifier.scopuseid_2-s2.0-0033340041en_HK
dc.identifier.hkuros53559en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0033340041&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume146en_HK
dc.identifier.issue4en_HK
dc.identifier.spage206en_HK
dc.identifier.epage210en_HK
dc.identifier.isiWOS:000087614400006-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridZhong, JM=8079523800en_HK
dc.identifier.scopusauthoridLeung, CH=7402612415en_HK
dc.identifier.scopusauthoridTang, YY=7404591899en_HK

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