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Image Zooming using Wavelet Transform HAAR & DB4

Published on May 2012 by Amol U Gawner, Samal Gadhe
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National Conference on Advancement in Electronics & Telecommunication Engineering
Foundation of Computer Science USA
NCAETE - Number 2
May 2012
Authors: Amol U Gawner, Samal Gadhe
95b7cdff-76c3-4788-a171-d07a7ef53510

Amol U Gawner, Samal Gadhe . Image Zooming using Wavelet Transform HAAR & DB4. National Conference on Advancement in Electronics & Telecommunication Engineering. NCAETE, 2 (May 2012), 24-28.

@article{
author = { Amol U Gawner, Samal Gadhe },
title = { Image Zooming using Wavelet Transform HAAR & DB4 },
journal = { National Conference on Advancement in Electronics & Telecommunication Engineering },
issue_date = { May 2012 },
volume = { NCAETE },
number = { 2 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 24-28 },
numpages = 5,
url = { /proceedings/ncaete/number2/6601-1091/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advancement in Electronics & Telecommunication Engineering
%A Amol U Gawner
%A Samal Gadhe
%T Image Zooming using Wavelet Transform HAAR & DB4
%J National Conference on Advancement in Electronics & Telecommunication Engineering
%@ 0975-8887
%V NCAETE
%N 2
%P 24-28
%D 2012
%I International Journal of Computer Applications
Abstract

Here we are implementing a method to zoom given image in wavelet domain. To zoom an image, concepts of multiresolution analysis along with zerotree philosophy is used. The wavelet transform has been identified as an effective tool for time-frequency representation of signals. It can decompose a digital image into some frequency sub-images, each represented with proportional frequency resolution. Finer level coefficients are estimated using wavelet transform. In this method smoothing effect is reduced as high frequency components are added. The zoomed images are more sharper and less blocky. The performance can be measured by calculating peak signal to noise ratio(PSNR)& Mean Square Error(MSE) . It is observed that this method gives much better PSNR & MSE compared to other methods.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Wavelet Multiresolution Zooming Zerotree