Research Article
Image Compression based on Scaling Functions And Wavelet Transformations
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 88 - Issue 8 |
| Published: February 2014 |
| Authors: A. J. Rajeswari Joe, N. Rama |
10.5120/15370-3745
|
A. J. Rajeswari Joe, N. Rama . Image Compression based on Scaling Functions And Wavelet Transformations. International Journal of Computer Applications. 88, 8 (February 2014), 5-8. DOI=10.5120/15370-3745
@article{ 10.5120/15370-3745,
author = { A. J. Rajeswari Joe,N. Rama },
title = { Image Compression based on Scaling Functions And Wavelet Transformations },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 88 },
number = { 8 },
pages = { 5-8 },
doi = { 10.5120/15370-3745 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A A. J. Rajeswari Joe
%A N. Rama
%T Image Compression based on Scaling Functions And Wavelet Transformations%T
%J International Journal of Computer Applications
%V 88
%N 8
%P 5-8
%R 10.5120/15370-3745
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The objective of this paper is to implement and evaluate the effectiveness of scaling functions and wavelet transformations in the field of image compression and decompression. The performance parameters like Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE), and Compression Ratio(CR),SNR(Signal to Noise Ratio) are calculated based on the Matlab source code. The implemented model provides better PSNR, MSE, CR, SNR than the Basic 2D Discrete Cosine Transform.
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