Vector quantization index coding using LZW algorithm

To develop a new compression algorithm based on the conventional lossless text compression algorithms. The developed algorithm is vector-based lossy and multidimensional generalization of the original text compression algorithm. The compression consists of two stages. First, the test images are segm...

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Bibliographic Details
Main Author:	Yeoh, Wee Soon.
Other Authors:	Zhu, Ce
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
Online Access:	http://hdl.handle.net/10356/3883
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3883
record_format	dspace
spelling	sg-ntu-dr.10356-38832023-07-04T15:17:20Z Vector quantization index coding using LZW algorithm Yeoh, Wee Soon. Zhu, Ce School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems To develop a new compression algorithm based on the conventional lossless text compression algorithms. The developed algorithm is vector-based lossy and multidimensional generalization of the original text compression algorithm. The compression consists of two stages. First, the test images are segmented into blocks of images. Master of Science (Signal Processing) 2008-09-17T09:39:40Z 2008-09-17T09:39:40Z 2002 2002 Thesis http://hdl.handle.net/10356/3883 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems Yeoh, Wee Soon. Vector quantization index coding using LZW algorithm
description	To develop a new compression algorithm based on the conventional lossless text compression algorithms. The developed algorithm is vector-based lossy and multidimensional generalization of the original text compression algorithm. The compression consists of two stages. First, the test images are segmented into blocks of images.
author2	Zhu, Ce
author_facet	Zhu, Ce Yeoh, Wee Soon.
format	Theses and Dissertations
author	Yeoh, Wee Soon.
author_sort	Yeoh, Wee Soon.
title	Vector quantization index coding using LZW algorithm
title_short	Vector quantization index coding using LZW algorithm
title_full	Vector quantization index coding using LZW algorithm
title_fullStr	Vector quantization index coding using LZW algorithm
title_full_unstemmed	Vector quantization index coding using LZW algorithm
title_sort	vector quantization index coding using lzw algorithm
publishDate	2008
url	http://hdl.handle.net/10356/3883
_version_	1772827849611280384

Vector quantization index coding using LZW algorithm

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