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Statistical Moments based Noise Classification using Feed Forward Back Propagation Neural Network
by
Shamik Tiwari,
Ajay Kumar Singh,
V.P. Shukla
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 18 - Number 2 |
| Year of Publication: 2011 |
| Authors: Shamik Tiwari, Ajay Kumar Singh, V.P. Shukla |
10.5120/2254-2886
|
Shamik Tiwari, Ajay Kumar Singh, V.P. Shukla . Statistical Moments based Noise Classification using Feed Forward Back Propagation Neural Network. International Journal of Computer Applications. 18, 2 ( March 2011), 36-40. DOI=10.5120/2254-2886
@article{
10.5120/2254-2886,
author = {
Shamik Tiwari,
Ajay Kumar Singh,
V.P. Shukla
},
title = { Statistical Moments based Noise Classification using Feed Forward Back Propagation Neural Network },
journal = {
International Journal of Computer Applications
},
issue_date = { March 2011 },
volume = { 18 },
number = { 2 },
month = { March },
year = { 2011 },
issn = { 0975-8887 },
pages = {
36-40
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume18/number2/2254-2886/
},
doi = { 10.5120/2254-2886 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:16.592139+05:30
%A Shamik Tiwari
%A Ajay Kumar Singh
%A V.P. Shukla
%T Statistical Moments based Noise Classification using Feed Forward Back Propagation Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 18
%N 2
%P 36-40
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract
A neural network classification based noise identification method is presented by isolating some representative noise samples, and extracting their statistical features for noise type identification. The isolation of representative noise samples is achieved using prevalent used image filters whereas noise identification is performed using statistical moments features based classification system. The results of the experiments using this method show better identification of noise than those suggested in the recent works.
References
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Index Terms
Computer Science
Information Sciences
Keywords