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Reseach Article

An Adaptive Vector Quantization Method for Image Compression

by A. Divya, S. Sukumaran
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 154 - Number 8
Year of Publication: 2016
Authors: A. Divya, S. Sukumaran
10.5120/ijca2016912179

A. Divya, S. Sukumaran . An Adaptive Vector Quantization Method for Image Compression. International Journal of Computer Applications. 154, 8 ( Nov 2016), 13-16. DOI=10.5120/ijca2016912179

@article{ 10.5120/ijca2016912179,
author = { A. Divya, S. Sukumaran },
title = { An Adaptive Vector Quantization Method for Image Compression },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2016 },
volume = { 154 },
number = { 8 },
month = { Nov },
year = { 2016 },
issn = { 0975-8887 },
pages = { 13-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume154/number8/26509-2016912179/ },
doi = { 10.5120/ijca2016912179 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:59:40.476109+05:30
%A A. Divya
%A S. Sukumaran
%T An Adaptive Vector Quantization Method for Image Compression
%J International Journal of Computer Applications
%@ 0975-8887
%V 154
%N 8
%P 13-16
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image compression is to reduce redundancy of the image data in order to store or transmit data in an efficient form. Compression is carried out for the following reasons about reduce, the storage requirement, processing time and transmission duration. The most powerful and quantization technique used for the image compression is vector quantization (VQ). The Existing methods Linde-Buzo-Gray (LBG) and Fast Back Propagation (FBP) algorithm are presented. In existing methods, the compression ratio is decreased. The proposed method adaptive vector quantization is used to analyze for image vector quantization (VQ). The performance of proposed work is analyzed using the factors SNR, MSE, PSNR and CR. The experimental work using MatLab shows that the proposed scheme is efficient and produced expected result.

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Index Terms

Computer Science
Information Sciences

Keywords

Vector Quantization Compression Ratio Codebook Image Compression.