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Impact of Denoising using Various Filters on QR Code

by Deepika Kumawat, Ranjeet Kumar Singh, Deepak Gupta, Shikha Gupta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 5
Year of Publication: 2013
Authors: Deepika Kumawat, Ranjeet Kumar Singh, Deepak Gupta, Shikha Gupta
10.5120/10463-5174

Deepika Kumawat, Ranjeet Kumar Singh, Deepak Gupta, Shikha Gupta . Impact of Denoising using Various Filters on QR Code. International Journal of Computer Applications. 63, 5 ( February 2013), 21-26. DOI=10.5120/10463-5174

@article{ 10.5120/10463-5174,
author = { Deepika Kumawat, Ranjeet Kumar Singh, Deepak Gupta, Shikha Gupta },
title = { Impact of Denoising using Various Filters on QR Code },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 5 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number5/10463-5174/ },
doi = { 10.5120/10463-5174 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:13:21.827155+05:30
%A Deepika Kumawat
%A Ranjeet Kumar Singh
%A Deepak Gupta
%A Shikha Gupta
%T Impact of Denoising using Various Filters on QR Code
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 5
%P 21-26
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper aims to showcase one of the latest automatic identification technology concepts. In the recent past the concept of Quick Response Code (QR Code) has attained a significant recognition and is being used as data representation mean. 2D Barcode are widely used due to high capacity storage and fast processing step, QR Code is one of such types of 2D barcode. Advertising and education are the top most span where the utility of this application continues to grow. This paper aims on providing detailed information on all the concepts of Quick Response Code. It expresses significance, structure and entire procedure used to represent data in the form of barcode. First experiment is to apply noise in QR Code (encoding) and second is De-noising (decoding) using Median and Wiener filters. This document also provides a glimpse of the impact of Noise on the QR code and Histogram of the PSNR values that shows the comparison of the images.

References
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  6. Toshihiko Wakahara, Noriyasu Yamamoto and Hiroki Ochi ''Image Processing of Dotted Picture in the QR Code of Cellular Phone", International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 978-0-7695-4237-9/10, 2010.
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  8. C. Sasi varnan, A. Jagan, Jaspreet Kaur, Divya Jyoti, Dr. D. S. Rao, "Image Quality Assessment Techniques pn Spatial Domain", I S S N : 2 2 2 9 - 4 3 3 3 ( P r i n t ) | I S S N : 0 9 7 6 - 8 4 9 1 (On l i n e ), IJCST Vol. 2, Issue 3, September 2011.
  9. Juan R. Hernández, Martín Amado, and Fernando Pérez-González, "DCT-Domain Watermarking Techniques for Still Images: Detector Performance Analysis and a New Structure", IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 9, NO. 1, JANUARY 2000.
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Index Terms

Computer Science
Information Sciences

Keywords

Quick Response Code Denoising Filters PSNR Histogram Comparison

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