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Image Denoising by Two-Pass of Total Variation Filter

by Dao Nam Anh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 17
Year of Publication: 2014
Authors: Dao Nam Anh
10.5120/17276-7706

Dao Nam Anh . Image Denoising by Two-Pass of Total Variation Filter. International Journal of Computer Applications. 98, 17 ( July 2014), 24-29. DOI=10.5120/17276-7706

@article{ 10.5120/17276-7706,
author = { Dao Nam Anh },
title = { Image Denoising by Two-Pass of Total Variation Filter },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 17 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 24-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number17/17276-7706/ },
doi = { 10.5120/17276-7706 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:26:26.773461+05:30
%A Dao Nam Anh
%T Image Denoising by Two-Pass of Total Variation Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 17
%P 24-29
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Total variation based methods are widely applied for image enhancement and particularly for de-noising. The majority of these is designed for a specific noise model. The alternative total variation based approach proposed here can deal with multiple noise models via two-pass iterative algorithm basing on total variation. The first pass is designed for draft denoising and to detect noise region. The second pass restores the noise region by total variation based inpainting. Experiments on Salt & Pepper, Gaussian, Speckle, Poisson, and Impulse noise models demonstrate the effectiveness of the proposed method.

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Index Terms

Computer Science
Information Sciences

Keywords

denoising inpainting restoration keeping edge filtering total variation

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