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Reseach Article

An Effective Approach of Noise Analysis on Images

by Gourav Kumar Javeriya, Deepak Gupta, Anil Kumar Dahiya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 11
Year of Publication: 2014
Authors: Gourav Kumar Javeriya, Deepak Gupta, Anil Kumar Dahiya
10.5120/16838-6688

Gourav Kumar Javeriya, Deepak Gupta, Anil Kumar Dahiya . An Effective Approach of Noise Analysis on Images. International Journal of Computer Applications. 96, 11 ( June 2014), 24-28. DOI=10.5120/16838-6688

@article{ 10.5120/16838-6688,
author = { Gourav Kumar Javeriya, Deepak Gupta, Anil Kumar Dahiya },
title = { An Effective Approach of Noise Analysis on Images },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 11 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number11/16838-6688/ },
doi = { 10.5120/16838-6688 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:21:28.882026+05:30
%A Gourav Kumar Javeriya
%A Deepak Gupta
%A Anil Kumar Dahiya
%T An Effective Approach of Noise Analysis on Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 11
%P 24-28
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Here it is represented an image analysis technique using both noising & de-noising process. By taking a simple image of different formats we added a noise i. e. Gaussian noise to the particular image and then the calculation of SNR(SIGNAL-TO-NOISE RATIO) and PSNR(PEAK SIGNAL-TO-NOISE RATIO) is performed based on the image formats such as jpeg, png, etc. Although there are various types of noise but we considered here the Gaussian noise only. The calculation done is also according to the different functions (blocking, nlfilter, etc. ) and the related categories applied on the simple images. After then the image de-noising is performed on the obtained noised image and the image without any applied function in order to check the comparative analysis of the image containing noise and the de-noised image. The image observed is not as an exact replica of the previous image without noise. Also, there is a vast difference between the SNR and PSNR values of the noised and de-noised image. An image transferred by the sender, if get some distortion like Gaussian noise, then after de-noising process the image observed on the receiver side may be not real and exact, but have less distortion which is a great advantage.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Blocking Function Gaussian Noise Image Peak Signal-to-Noise Ratio Signal-to-Noise Ratio.