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Reseach Article

Iterative Bilateral Filter and Non-Local Mean

by Dao Nam Anh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 11
Year of Publication: 2014
Authors: Dao Nam Anh

Dao Nam Anh . Iterative Bilateral Filter and Non-Local Mean. International Journal of Computer Applications. 106, 11 ( November 2014), 33-38. DOI=10.5120/18566-9818

@article{ 10.5120/18566-9818,
author = { Dao Nam Anh },
title = { Iterative Bilateral Filter and Non-Local Mean },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 11 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 33-38 },
numpages = {9},
url = { },
doi = { 10.5120/18566-9818 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:39:09.821493+05:30
%A Dao Nam Anh
%T Iterative Bilateral Filter and Non-Local Mean
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 11
%P 33-38
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

Using local or non-local features has proven to be a competent approach for denoising images. As noise and edges have similar effect of changes in gradient in many cases, noise allocation for denoising is still significant challenge. This work addresses the classic problem but introducing the combination concept of local and non-local factors with deviation refinement procedure. A new algorithm of the concept is proposed to ameliorate noise reduction. Sensitivity of noise detection is examined by iterative non-local mean and bilateral filter with refinement of range deviation. The final methodology is tested with Gaussian noise and compared with both non-local mean, bilateral filter. Experiment demonstrates improvement of denoising level in the new algorithm.

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Index Terms

Computer Science
Information Sciences


Image denoising non-local mean bilateral filter noise deduction iterative filter.