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Adaptive Edge-Preserving Image Denoising using Arbitrarily Shaped Local Windows in Wavelet Domain

by Paras Jain, Vipin Tyagi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 16
Year of Publication: 2015
Authors: Paras Jain, Vipin Tyagi
10.5120/20065-2141

Paras Jain, Vipin Tyagi . Adaptive Edge-Preserving Image Denoising using Arbitrarily Shaped Local Windows in Wavelet Domain. International Journal of Computer Applications. 114, 16 ( March 2015), 33-45. DOI=10.5120/20065-2141

@article{ 10.5120/20065-2141,
author = { Paras Jain, Vipin Tyagi },
title = { Adaptive Edge-Preserving Image Denoising using Arbitrarily Shaped Local Windows in Wavelet Domain },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 16 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 33-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number16/20065-2141/ },
doi = { 10.5120/20065-2141 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:52:58.792795+05:30
%A Paras Jain
%A Vipin Tyagi
%T Adaptive Edge-Preserving Image Denoising using Arbitrarily Shaped Local Windows in Wavelet Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 16
%P 33-45
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image denoising is a well explored topic in the field of image processing. A denoising algorithm is designed to suppress the noise while preserving as many image structures and details as possible. This paper presents a novel technique for edge-preserving image denoising using wavelet transforms. The multi-level decomposition of the noisy image is carried out to transform the data into the wavelet domain. An adaptive thresholding scheme which employs arbitrary shaped local windows and is based on edge strength is used to effectively reduce noise while preserving significant features of the original image. The experimental results, compared to other approaches, prove that the proposed method is suitable for various image types corrupted by Gaussian noise.

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Index Terms

Computer Science
Information Sciences

Keywords

Wavelet transform arbitrary shaped window region-based approach noise reduction edge-preservation.

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