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Reseach Article

Two-step Image Denoising

by Aravind B.N., K. V. Suresh
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 2
Year of Publication: 2016
Authors: Aravind B.N., K. V. Suresh

Aravind B.N., K. V. Suresh . Two-step Image Denoising. Communications on Applied Electronics. 4, 2 ( January 2016), 1-5. DOI=10.5120/cae2016652054

@article{ 10.5120/cae2016652054,
author = { Aravind B.N., K. V. Suresh },
title = { Two-step Image Denoising },
journal = { Communications on Applied Electronics },
issue_date = { January 2016 },
volume = { 4 },
number = { 2 },
month = { January },
year = { 2016 },
issn = { 2394-4714 },
pages = { 1-5 },
numpages = {9},
url = { },
doi = { 10.5120/cae2016652054 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-09-04T19:53:59.583622+05:30
%A Aravind B.N.
%A K. V. Suresh
%T Two-step Image Denoising
%J Communications on Applied Electronics
%@ 2394-4714
%V 4
%N 2
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

Image denoising is an area of active research. Many image denoising techniques have been proposed in literature both in spatial and transform domain. Image denoising always strikes a balance between noise removal and preserving edge information. An improved two-step approach using stationary wavelet transform is proposed in this paper. The first-step uses neighshrinksure followed by the nonlocal means method for denoising. The simulation results on synthetic and real images demonstrates the improvement of the proposed method.

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Index Terms

Computer Science
Information Sciences


Image denoising Wavelet transform Neighborhood dependency