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Reseach Article

Analysis of Robustness of Digital Watermarking Under Various Attacks

Published on October 2011 by Yashovardhan Kelkar, Heena Shaikh
IP Multimedia Communications
Foundation of Computer Science USA
IPMC - Number 1
October 2011
Authors: Yashovardhan Kelkar, Heena Shaikh
2812dc86-d244-40ff-9af0-1616dfac6a82

Yashovardhan Kelkar, Heena Shaikh . Analysis of Robustness of Digital Watermarking Under Various Attacks. IP Multimedia Communications. IPMC, 1 (October 2011), 47-51.

@article{
author = { Yashovardhan Kelkar, Heena Shaikh },
title = { Analysis of Robustness of Digital Watermarking Under Various Attacks },
journal = { IP Multimedia Communications },
issue_date = { October 2011 },
volume = { IPMC },
number = { 1 },
month = { October },
year = { 2011 },
issn = 0975-8887,
pages = { 47-51 },
numpages = 5,
url = { /specialissues/ipmc/number1/3746-ipmc010/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 IP Multimedia Communications
%A Yashovardhan Kelkar
%A Heena Shaikh
%T Analysis of Robustness of Digital Watermarking Under Various Attacks
%J IP Multimedia Communications
%@ 0975-8887
%V IPMC
%N 1
%P 47-51
%D 2011
%I International Journal of Computer Applications
Abstract

This project acquaints an algorithm of digital watermarking which is based on Least Significant Bit (LSB), Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). In accord with the characters of human vision, the main objective of the project is to be focused on comparative analysis of this algorithms on the basis of invisibility, distortion and robustness to attacks. The simulation results show that this algorithm is invisible and has good robustness for some common image processing operations.By the use of Matlab software, the algorithms have been coded and then implemented properly.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Digital watermarking Least Significant Bit Discrete Cosine Transform Discrete Wavelet Transform Peak Signal to Noise Ratio Mean squared Error