Research Article
Survey in Existing Non-Local Means Algorithm for Noise Reduction
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 164 - Issue 9 |
| Published: Apr 2017 |
| Authors: Arti Singh, Ram Singar Verma |
10.5120/ijca2017913751
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Arti Singh, Ram Singar Verma . Survey in Existing Non-Local Means Algorithm for Noise Reduction. International Journal of Computer Applications. 164, 9 (Apr 2017), 31-34. DOI=10.5120/ijca2017913751
@article{ 10.5120/ijca2017913751,
author = { Arti Singh,Ram Singar Verma },
title = { Survey in Existing Non-Local Means Algorithm for Noise Reduction },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 164 },
number = { 9 },
pages = { 31-34 },
doi = { 10.5120/ijca2017913751 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Arti Singh
%A Ram Singar Verma
%T Survey in Existing Non-Local Means Algorithm for Noise Reduction%T
%J International Journal of Computer Applications
%V 164
%N 9
%P 31-34
%R 10.5120/ijca2017913751
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper introduced the concept of noise reduction for recovering the original image. Digital images are a very important role in daily life like satellite television, computer etc. Sometimes digital images are faces problem called noise. For this problem, we study non-local means algorithm. In this algorithm uses a self-similarity concept, called "non-local means algorithm”. Image accommodates noise like Gaussian noise, salt & pepper noise, speckle noise, film grain etc. In this paper, only survey on the existing non-local means algorithm for noise reduction which is taken from many devices like camera or other digital gadgets.
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