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Image Denoising by Addaptive Non-Local Bilatetal Filter
by
Dao Nam Anh
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 99 - Number 12 |
| Year of Publication: 2014 |
| Authors: Dao Nam Anh |
10.5120/17423-8275
|
Dao Nam Anh . Image Denoising by Addaptive Non-Local Bilatetal Filter. International Journal of Computer Applications. 99, 12 ( August 2014), 4-10. DOI=10.5120/17423-8275
@article{
10.5120/17423-8275,
author = {
Dao Nam Anh
},
title = { Image Denoising by Addaptive Non-Local Bilatetal Filter },
journal = {
International Journal of Computer Applications
},
issue_date = { August 2014 },
volume = { 99 },
number = { 12 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = {
4-10
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume99/number12/17423-8275/
},
doi = { 10.5120/17423-8275 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:28:00.337433+05:30
%A Dao Nam Anh
%T Image Denoising by Addaptive Non-Local Bilatetal Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 12
%P 4-10
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In fields such as demosaicking, texture removal, dynamic range compression, and photo enhancement many imaging modalities operate with images corrupted by different noise models. Bilateral filter and non-local mean filter are often applied for deduction of noise. This paper presents a new adaptive bilateral filter model to reconstruct edges by choosing neighborhood with non-local mean concept. The method yields considerable gain reduction of noise and keep edges better than original method. Basing in visual inspection, the new method considered as effective even in case of mixed noise.
References
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Computer Science
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Keywords