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Reseach Article

Codebook Generation for Vector Quantization using Interpolations to Compress Gray Scale Images

by S.vimala, K. Kowsalya Devi, M. Sathya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 9
Year of Publication: 2012
Authors: S.vimala, K. Kowsalya Devi, M. Sathya
10.5120/5720-7780

S.vimala, K. Kowsalya Devi, M. Sathya . Codebook Generation for Vector Quantization using Interpolations to Compress Gray Scale Images. International Journal of Computer Applications. 42, 9 ( March 2012), 14-19. DOI=10.5120/5720-7780

@article{ 10.5120/5720-7780,
author = { S.vimala, K. Kowsalya Devi, M. Sathya },
title = { Codebook Generation for Vector Quantization using Interpolations to Compress Gray Scale Images },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 9 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 14-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number9/5720-7780/ },
doi = { 10.5120/5720-7780 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:32:05.204917+05:30
%A S.vimala
%A K. Kowsalya Devi
%A M. Sathya
%T Codebook Generation for Vector Quantization using Interpolations to Compress Gray Scale Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 9
%P 14-19
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Vector Quantization (VQ) is one of the Lossy Image Compression Techniques. Vector Quantization is performed in three phases: 1.CodeBook Generation, 2.Image Encoding and 3.Image Decoding. In this paper, we have proposed a novel idea of incorporating the technique of Interpolation as part of the existing codebook generation technique to further reduce the bit-rate that is obtained. Experiments were carried over standard images like Lena, Cameraman, Boats, Bridge, Baboon, Goldhill, and Kush. According to the simulated results, the proposed algorithm achieves significant reduction in bit-rate for codebooks of various sizes such as 16, 32, 64, 128, 256 and 512.

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Index Terms

Computer Science
Information Sciences

Keywords

Vector quantization codebook encoding decoding bit-rate interpolation image compression