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Reseach Article

Performance Analysis of InterpolatedShrink method in Image De-Noising

by J S Bhat, B N Jagadale
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 15 - Number 8
Year of Publication: 2011
Authors: J S Bhat, B N Jagadale
10.5120/1972-2643

J S Bhat, B N Jagadale . Performance Analysis of InterpolatedShrink method in Image De-Noising. International Journal of Computer Applications. 15, 8 ( February 2011), 1-6. DOI=10.5120/1972-2643

@article{ 10.5120/1972-2643,
author = { J S Bhat, B N Jagadale },
title = { Performance Analysis of InterpolatedShrink method in Image De-Noising },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 15 },
number = { 8 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume15/number8/1972-2643/ },
doi = { 10.5120/1972-2643 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:03:34.750690+05:30
%A J S Bhat
%A B N Jagadale
%T Performance Analysis of InterpolatedShrink method in Image De-Noising
%J International Journal of Computer Applications
%@ 0975-8887
%V 15
%N 8
%P 1-6
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The de-noising of an image corrupted by Gaussian noise is a classical problem in signal or image processing. An image is often corrupted by noise during its acquisition and transmission. Image de-noising is used to reduce the noise while retaining the important features in the image. Always there exists a tradeoff between the removed noise and the blurring in the image. The use of wavelet transform for signal de-noising has emerged as an important technique during the last decade. The wavelet transform is preferred over conventional Fast Fourier Transform(FFT) based image de-noising technique ,because of its capability to give detailed spatial-frequency information. In this paper, we tried to analyze the performance of InterpolatedShrink method in image de-noising using various wavelet family, such as Haar,Doubechies,Symlet and Coiflets, for Gaussian noise.

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Index Terms

Computer Science
Information Sciences

Keywords

De-noising Thresholding Discrete Wavelet Transform Gaussian noise IntepolatedShrink