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Constrain Study of Basic Vector Quantization Techniques for Image Compression

Published on August 2012 by Bhargav Makodia, Arpit Patel, Tushar Patel
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International Conference on Advances in Communication and Computing Technologies 2012
Foundation of Computer Science USA
ICACACT - Number 2
August 2012
Authors: Bhargav Makodia, Arpit Patel, Tushar Patel
def2855b-97eb-4979-8f68-3aaac3e73210

Bhargav Makodia, Arpit Patel, Tushar Patel . Constrain Study of Basic Vector Quantization Techniques for Image Compression. International Conference on Advances in Communication and Computing Technologies 2012. ICACACT, 2 (August 2012), 1-4.

@article{
author = { Bhargav Makodia, Arpit Patel, Tushar Patel },
title = { Constrain Study of Basic Vector Quantization Techniques for Image Compression },
journal = { International Conference on Advances in Communication and Computing Technologies 2012 },
issue_date = { August 2012 },
volume = { ICACACT },
number = { 2 },
month = { August },
year = { 2012 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/icacact/number2/7972-1008/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Communication and Computing Technologies 2012
%A Bhargav Makodia
%A Arpit Patel
%A Tushar Patel
%T Constrain Study of Basic Vector Quantization Techniques for Image Compression
%J International Conference on Advances in Communication and Computing Technologies 2012
%@ 0975-8887
%V ICACACT
%N 2
%P 1-4
%D 2012
%I International Journal of Computer Applications
Abstract

Vector Quantization (VQ) is one of the lossy image compression techniques. VQ comprises of three different entities: codebook generation, image encoding and image decoding. In this paper three different VQ techniques namely Mean Remove Vector Quantization (MRVQ), Shape Gain Vector Quantization (SGVQ) and Classified Vector Quantization (CVQ) has been discussed and their performance in terms of Signal to Noise ratio (SNR) is compared. Lloyd algorithm is used for optimal codebook generation.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Classified Vq Lloyd?s Algorithm Mean Removed Vq Shape Gain Vq