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Reseach Article

Slantlet Transform and Phase Congruency based Image Compression

Published on January 2013 by Arathi T, Latha Parameswaran
Amrita International Conference of Women in Computing - 2013
Foundation of Computer Science USA
AICWIC - Number 3
January 2013
Authors: Arathi T, Latha Parameswaran
3cd862aa-238b-4061-8a1e-d2b109e0beca

Arathi T, Latha Parameswaran . Slantlet Transform and Phase Congruency based Image Compression. Amrita International Conference of Women in Computing - 2013. AICWIC, 3 (January 2013), 12-16.

@article{
author = { Arathi T, Latha Parameswaran },
title = { Slantlet Transform and Phase Congruency based Image Compression },
journal = { Amrita International Conference of Women in Computing - 2013 },
issue_date = { January 2013 },
volume = { AICWIC },
number = { 3 },
month = { January },
year = { 2013 },
issn = 0975-8887,
pages = { 12-16 },
numpages = 5,
url = { /proceedings/aicwic/number3/9875-1317/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Amrita International Conference of Women in Computing - 2013
%A Arathi T
%A Latha Parameswaran
%T Slantlet Transform and Phase Congruency based Image Compression
%J Amrita International Conference of Women in Computing - 2013
%@ 0975-8887
%V AICWIC
%N 3
%P 12-16
%D 2013
%I International Journal of Computer Applications
Abstract

Image compression is an active area of research with a wide range of applications. Being able to represent an image with lesser number of coefficients, without affecting the image quality has been the prime aim of image compression. In this research, a new image compression technique has been proposed, based on Slantlet Transform and the principle of Phase Congruency. The compressed image quality has been assessed by computing the PSNR values and the compression ratios. Experimentation show highly promising results, in terms of the level of compression and the quality of the fused image.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Compression Slantlet Transform Compression Ratio Phase Congruency Peak Signal To Noise Ratio