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Techniques and Algorithm Design for the Detection of PSNR in Digital Images

Published on May 2013 by Amit Verma, Iqbaldeep Kaur
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National Conference on Structuring Innovation Through Quality SITQ 2013
Foundation of Computer Science USA
SITQ - Number 1
May 2013
Authors: Amit Verma, Iqbaldeep Kaur
9e63083a-7530-43d5-84e0-ac6e61c9bd7a

Amit Verma, Iqbaldeep Kaur . Techniques and Algorithm Design for the Detection of PSNR in Digital Images. National Conference on Structuring Innovation Through Quality SITQ 2013. SITQ, 1 (May 2013), 33-35.

@article{
author = { Amit Verma, Iqbaldeep Kaur },
title = { Techniques and Algorithm Design for the Detection of PSNR in Digital Images },
journal = { National Conference on Structuring Innovation Through Quality SITQ 2013 },
issue_date = { May 2013 },
volume = { SITQ },
number = { 1 },
month = { May },
year = { 2013 },
issn = 0975-8887,
pages = { 33-35 },
numpages = 3,
url = { /proceedings/sitq/number1/12057-1312/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Structuring Innovation Through Quality SITQ 2013
%A Amit Verma
%A Iqbaldeep Kaur
%T Techniques and Algorithm Design for the Detection of PSNR in Digital Images
%J National Conference on Structuring Innovation Through Quality SITQ 2013
%@ 0975-8887
%V SITQ
%N 1
%P 33-35
%D 2013
%I International Journal of Computer Applications
Abstract

The problem of detection and removal of noise in digital images is Vast. Many techniques have been used for removal of noise from the given set of images. In this paper, we present algorithm that can be used for removal of various type of noise for the given test images. Various classifiers have been proposed. We proposed PSNR with varying threshold as the algorithm for the removal of noise and classification of the images. The algorithm gives us a clear boundary or specifically a hyper plane that separate noisy and non-noisy images.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Digital Image Classifier Psnr resolution