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Conference Paper: PREDICTIVE CLASSIFIED VECTOR QUANTIZATION FOR IMAGE CODING.

TitlePREDICTIVE CLASSIFIED VECTOR QUANTIZATION FOR IMAGE CODING.
Authors
Hui, LucaiNgan, King N
Issue Date1987
Citation
The 1987 IEEE Region 10 Conference (TENCON 87), Seoul, Korea, 26-28 August 1987. How to Cite?
AbstractA novel method of vector quantization, called predictive classified vector quantization (PCVQ), is proposed for image coding. It utilizes spatial correlations across the boundaries of pixel blocks to achieve a high compression rate. The edge/shade and mean intensity information of each block can be predicted and classified. Each block is coded by a quantizer belonging to the same class. The PCVQ consists of compact subcodebooks and gives satisfactory performance at 0. 375 b/pixel.
DescriptionConference Theme: Computers and Communications Technology Toward 2000
Persistent Identifierhttp://hdl.handle.net/10722/151786

 

DC FieldValueLanguage
dc.contributor.authorHui, Lucaien_US
dc.contributor.authorNgan, King Nen_US
dc.date.accessioned2012-06-26T06:29:31Z-
dc.date.available2012-06-26T06:29:31Z-
dc.date.issued1987en_US
dc.identifier.citationThe 1987 IEEE Region 10 Conference (TENCON 87), Seoul, Korea, 26-28 August 1987.-
dc.identifier.urihttp://hdl.handle.net/10722/151786-
dc.descriptionConference Theme: Computers and Communications Technology Toward 2000-
dc.description.abstractA novel method of vector quantization, called predictive classified vector quantization (PCVQ), is proposed for image coding. It utilizes spatial correlations across the boundaries of pixel blocks to achieve a high compression rate. The edge/shade and mean intensity information of each block can be predicted and classified. Each block is coded by a quantizer belonging to the same class. The PCVQ consists of compact subcodebooks and gives satisfactory performance at 0. 375 b/pixel.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Region 10 Conference Proceedings-
dc.titlePREDICTIVE CLASSIFIED VECTOR QUANTIZATION FOR IMAGE CODING.en_US
dc.typeConference_Paperen_US
dc.identifier.emailHui, Lucai:hui@cs.hku.hken_US
dc.identifier.authorityHui, Lucai=rp00120en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0023586048en_US
dc.identifier.scopusauthoridHui, Lucai=8905728300en_US
dc.identifier.scopusauthoridNgan, King N=36829885600en_US

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