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An Efficient Approach of an Audio Watermarking: Cascading of the Discrete Wavelets Transform and Singular Value Decomposition

Published on December 2011 by J. S. Dhage, A. K Gulve
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International Conference on Electronics, Information and Communication Engineering
Foundation of Computer Science USA
ICEICE - Number 5
December 2011
Authors: J. S. Dhage, A. K Gulve
350e18f5-0c5d-4b4d-92f8-109e022c20fd

J. S. Dhage, A. K Gulve . An Efficient Approach of an Audio Watermarking: Cascading of the Discrete Wavelets Transform and Singular Value Decomposition. International Conference on Electronics, Information and Communication Engineering. ICEICE, 5 (December 2011), 32-36.

@article{
author = { J. S. Dhage, A. K Gulve },
title = { An Efficient Approach of an Audio Watermarking: Cascading of the Discrete Wavelets Transform and Singular Value Decomposition },
journal = { International Conference on Electronics, Information and Communication Engineering },
issue_date = { December 2011 },
volume = { ICEICE },
number = { 5 },
month = { December },
year = { 2011 },
issn = 0975-8887,
pages = { 32-36 },
numpages = 5,
url = { /specialissues/iceice/number5/4308-iceice041/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronics, Information and Communication Engineering
%A J. S. Dhage
%A A. K Gulve
%T An Efficient Approach of an Audio Watermarking: Cascading of the Discrete Wavelets Transform and Singular Value Decomposition
%J International Conference on Electronics, Information and Communication Engineering
%@ 0975-8887
%V ICEICE
%N 5
%P 32-36
%D 2011
%I International Journal of Computer Applications
Abstract

For the music industry, the piracy is very serious issue. So effective solution to avoid further financial losses and intellectual property violations is necessary. Audio watermarking technology embeds copyright information into audio files as a proof of their ownership. In this paper watermarking algorithm has been brought by virtue of applying a cascade of two powerful mathematical Transforms; the discrete wavelets transform (DWT) and the singular value decomposition (SVD). When these two algorithms result is compared with the existing algorithms then we can easily get an idea of its effectiveness for the audio watermarking.

References
  1. Mohammad, A., Al-Haj, A., & Shaltaf, S. (2008). An improved SVD-based watermarking scheme for protecting rightful ownership. Signal Processing Journal; 88(9): 2158-2180.
  2. Arnold, M. (2003). Attacks on digital audio watermarks and countermeasures. Proceedings of the IEEE International Conference on WEB Delivering of Music, 1-8.
  3. Bassia, P., & Pitas, I. (2001). Robust audio watermarking in the time domain. IEEE Transaction on Multimedia ; 3(2): 232-241.
  4. Andrews, H., & Patterson, C. (1976). Singular Value Decomposition (SVD) Image Coding. IEEE Transactions on Communications; 42(4): 425-432.
  5. Arnold, M. (2000). Audio watermarking: Features, applications and algorithms. Proceeding of the IEEE International Conference on Multimedia and Expo, 1013–1016.
  6. Arnold, M., Wolthusen, S., & Schmucker, M. (2003). Techniques and applications of digital watermarking and content protection. Artech House. Zwicker E, Fastl H. Psychoacoustics: Facts and models. Springer-Verlag.
  7. Bao, P., & Ma, X. (2004). MP3-Resistant Music Steganography based on Dynamic range transform. Proceedings of the International Conference on Intelligent Signal Processing and Communication Systems, 266–271.
  8. Arnold, M. (2000). Audio watermarking: Features, applications and algorithms. Proceeding of the IEEE International Conference on Multimedia and Expo, 1013–1016.
Index Terms

Computer Science
Information Sciences

Keywords

Audio watermarking discrete wavelets transform singular value decomposition an inaudible watermarking copyright protection