JETIREXPLORE- Search Thousands of research papers



Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

Unique Identifier

JETIR1812B14

Page Number

84-87

Share This Article


Title

Efficient Lossy Image Compression Scheme using Modified Side Match Vector Quantization

ISSN

2349-5162

Cite This Article

"Efficient Lossy Image Compression Scheme using Modified Side Match Vector Quantization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.84-87, December-2018, Available :http://www.jetir.org/papers/JETIR1812B14.pdf

Authors

Abstract

Digital Image compression is used to compresses and reduces the size of image with various algorithms and Standards. This paper proposed new vector quantization technique for lossy image compression. Vector quantization (VQ) is an approach that encodes a block of pixels with an index pointing to a similar block in a VQ codebook. To improve the visual quality of VQ, SMVQ (Side match vector quantization) used. SMVQ is one of the low bit rate scheme, it requires high encoding time than that of VQ. A proposed Modified Side Match Vector Quantization(MSMVQ) has introduced. MSMVQ is a powerful low bit rate image compression scheme based on VQ. It combines indicies of VQ and residual code book. MSMVQ attains low bit rate and better image quality than SMVQ and other VQ techniques.

Key Words

VQ, SMVQ, MSMVQ

Cite This Article

"Efficient Lossy Image Compression Scheme using Modified Side Match Vector Quantization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp84-87, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B14.pdf

Publication Details

Published Paper ID: JETIR1812B14
Registration ID: 194381
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 84-87
ISSN Number: 2349-5162

Download Paper

Preview Article

Download Paper




Cite This Article

"Efficient Lossy Image Compression Scheme using Modified Side Match Vector Quantization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp84-87, December-2018, Available at : http://www.jetir.org/papers/JETIR1812B14.pdf




Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0001358

Print This Page