The week's pick
Reseach Article
Peak Detection based Spread Spectrum Audi Watermarking using Discrete Wavelet Transform
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 24 - Number 1 |
| Year of Publication: 2011 |
| Authors: Neha Baranwal, Kamalika Datta |
10.5120/2916-3842
|
Neha Baranwal, Kamalika Datta . Peak Detection based Spread Spectrum Audi Watermarking using Discrete Wavelet Transform. International Journal of Computer Applications. 24, 1 ( June 2011), 16-20. DOI=10.5120/2916-3842
Abstract
This paper proposes a robust spread spectrum based audio watermarking scheme using Discrete wavelet transform (DWT). Here we use a peak detection algorithm to obtain high robustness. In this watermarking scheme, watermarks are embedded into the peak value of detail coefficients of, transformed audio signal. It is a blind watermarking technique which is used for providing copyright protection and content authentication for digital content. Tests shows that the proposed watermarking scheme is robust against signal processing attacks like resampling, requantization, MP3 compression, noise addition. Performance of this technique is analyzed by calculating the percentage match and SNR values.
References
- C. I. Podilchuk and E. J. Delp, “Digital watermarking: Algorithms and applications,” IEEE Signal Processing Magazine, vol. 18, pp. 33–46, July 2001.
- I. J. Cox, Digital watermarking and stegnography. Morgan kaufmann, 2008.
- H. Y. Z. Y. Xianghong Tang, Yamei Niu, “A digital audio watermark embedding algorithm,” International Journal of Information Technology, vol. 11, pp. 24–31, 2005.
- Chun-ShienLu, Multimedia security: stegnography and digital watermarking techniques for protection of intellectual property. Idea Group publishing, 2004.
- N. Cvejic, “Algorithms for audio watermarking and steganography,” Master’s thesis, Department of Electrical and Information Engineering, Information Processing Laboratory, University of Oulu, 2004.
- M. Hrnr and J. Krajovi, “Principles of audio watermarking,” Advances in Electrical and Electronic Engineering, pp. 247–249, august 2006.
- H. S. Malvar and D. A. F. Florncio, “Improved spread spectrum: A new modulation technique for robust watermarking,” vol. 51, pp. 898–905, April 2003.
- W. R. Ding and X. Da-wen, “Audio watermarking algorithm based on wavelet packet and psychoacoustic model,” in Proceedings of Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT’05), December 2008, pp. 812–814.
- S. Jung, J. Seok, and J. Hong, “An improved detection technique for spread spectrum audio watermarking with a spectral envelope filter,” ETRI Journal, vol. 25, pp. 52–54, 2003.
- M. Chen, K. Fan, W. Mo, and S. Zhang, “Implementation and evaluation of a novel audio watermarking scheme,” in Proceedings of International Conference on Computational Intelligence and Security, january 2010, pp. 269–272.
- P. K. Dhar and M. I. Khan, “A new audio watermarking system using discrete fourier transform for copyright protection,” International Journal of Computer Science and Network Security, vol. 10, pp. 35–40, june 2010.
- S. A. B. Charmchamras, S. Kaengin and M. Sangworasil, “Audio watermarking technique using binary image in wavelet domain,” in Proceedings of International Conference on Information and Communication Systems, December 2007, pp. 1-3.
- T. Dutoit and F. Marques, Applied signal processing. Springer Science, 2009.
- M. Li, Y. Lei, J. Liu, and Y. Yan, “A novel audio watermarking in wavelet domain,” pp. 27–32, December 2006.
- M. Adya, “Audio watermark resistant to mp3 compression,” Master’s thesis, Department Of Computer Science And Engineering Indian Institute Of Technology Kharagpur, India, 2007.
- C. Wu, P. Su, and C. J. Kuo, “Robust audio watermarking for copyright protection,” Master’s thesis, Department of electrical and computer engineering and University of Auckland, 2007.
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