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A Survey on Image Denoising Techniques

by S. Preethi, D. Narmadha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 6
Year of Publication: 2012
Authors: S. Preethi, D. Narmadha
10.5120/9288-3488

S. Preethi, D. Narmadha . A Survey on Image Denoising Techniques. International Journal of Computer Applications. 58, 6 ( November 2012), 27-30. DOI=10.5120/9288-3488

@article{ 10.5120/9288-3488,
author = { S. Preethi, D. Narmadha },
title = { A Survey on Image Denoising Techniques },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 6 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 27-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number6/9288-3488/ },
doi = { 10.5120/9288-3488 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:01:46.859599+05:30
%A S. Preethi
%A D. Narmadha
%T A Survey on Image Denoising Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 6
%P 27-30
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image processing is an important charge in image denoising as a process and component in various other process There are many ways to denoise an image. The ultimate idea of this paper is to acquiesce better results in terms of quality and in removal of different noises. This paper is compared with three methods NL Means, NL-PCA, and DCT. PSNR and SSIM are used for quantitative study of denoising methods.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image denoising Quality Rician noise

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