IMAGE DATA COMPRESSION USING VECTOR QUANTIZATION TECHNIQUFs

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DC Field	Value	Language
dc.contributor.author	Shrotriya, Abha	-
dc.date.accessioned	2014-11-19T07:19:02Z	-
dc.date.available	2014-11-19T07:19:02Z	-
dc.date.issued	1993	-
dc.identifier	M.Tech	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/9324	-
dc.guide	Kumar, Arun	-
dc.guide	Gautam, Krishan	-
dc.description.abstract	VECTOR QUANTIZATION is a. very powerful technique for data compression. It is intrinsically superior to predictive coding, transform coding and other suboptimal procedures, since it achieves optimal rate distortion performance. In this dissertation various Vector quantization techniques have been discussed in detail. Software simulation of Pull search memory- less vector qua.ntizer has been described. A performance evaluation for this Full search memory-less vector qua.ntizer has also been presented	en_US
dc.language.iso	en	en_US
dc.subject	ELECTRONICS AND COMPUTER ENGINEERING	en_US
dc.subject	VECTOR QUANTIZATION TECHNIQUES	en_US
dc.subject	IMAGE DATA COMPRESSION	en_US
dc.subject	SOFTWARE SIMULATION	en_US
dc.title	IMAGE DATA COMPRESSION USING VECTOR QUANTIZATION TECHNIQUFs	en_US
dc.type	M.Tech Dessertation	en_US
dc.accession.number	245773	en_US
Appears in Collections:	MASTERS' THESES (E & C)

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