AUTHORS: Mangal Patil, Chitode J. S.

Download as PDF

ABSTRACT: Flexibility of Internet technology gives rise to concern about the protection of digital data. Digital audio watermarking is the art of hiding important data in Digital Audio. This research paper deals with a new methodology which helps to enhance the robustness of Digital Audio Watermarking technique based on Discrete Wavelet Transform (DWT) and singular value decomposition (SVD). In this approach, multiple watermarks (Image -64 X 64 pixels and text) are embedded into the approximate coefficients of Discrete Wavelet Transform of an audio signal. Haar wavelet is used for decomposition while SVD is applied to get the Eigen values of approximate coefficients of audio signal. Experimental work demonstrate that watermarked audio has same perceptual quality as that of original one. The performance of the proposed work is evaluated with the help of objective measures such as Signal to Noise ratio, Peak signal to Noise ratio, Bit error rate, Normalized Cross correlation, etc. Additionally, simulation results on audio signals prove that the capacity of the proposed scheme is considerably better in comparison with the existing watermarking methods. Furthermore, the proposed work is applied for different audio signals such as classical, instrumental, flute, pop & rock to check the robustness against various attacks.

KEYWORDS: Haar Wavelet Transform, Eigen Value, Imperceptibility, Robustness, Security.

REFERENCES:

[1] Christine I. Podilchuk, Edward J. Delp, Digital Watermarking: Algorithms & Applications, IEEE Signal Processing Magazine, pp. 33- 46,2001.

[2] C Xu, J Wu, Q Sun, K Xin, Applications of watermarking technology in audio signals. Journal of Audio Engg. Society, 47(10), 805– 812,1999.

[3] IFPI (International Federation of the Phonographic Industry). http://www,ifpi.org, 2009

[4] Martin Vetterli, Jelena Kovacevic, “Wavelets and Sub-band Coding”, Prentice Hall, Englewood Cliffs, NJ, 1995.

[5] X. Wang, H. Zhao, “A novel synchronization invariant audio watermarking scheme based on DWT and DCT”, IEEE Trans. Signal Process, vol. 54, pp.4835–4840, 2006.

[6] Pranab Kr.,Saif Ahmad, “A new DCT based watermarking method for copyright protection of digital audio”, IJCSIT,Vol. 2,No,5, 2010.

[7] Abd El-Samie, “An efficient singular value decomposition algorithm for digital audio watermarking”, Int. Journal of Speech Technology, vol. 12, no. 1, pp. 27–45, 2009.

[8] B. Y. Lei, I. Y. Soon, Z. Li, “Blind and robust audio watermarking scheme based on SVD– DCT”, Signal Processing, vol. 91, pp. 1973– 1984, Mar 2011.

[9] Pranab Kumar Dhar , Tetsuya Shimamura, “ Audio watermarking in transform domain based on singular value decomposition and Cartesian-polar transformation”, International Journal of Speech Technology, Volume 17, Issue 2, pp 133-144, 2014.

[10] R. Liu, T. Tan, “An SVD-based watermarking scheme for protecting rightful ownership”, IEEE Trans. Multimedia, vol. 4, no. 1, pp. 121– 128, Mar. 2002.

[Online]. Available: http://dx.doi.org/ 10.1109/6046.985560

[11] S. Wu, J. Huang, D. Huang, Y. Shi, “Efficiently self-synchronized audio watermarking for assured audio data transmission”, IEEE Trans. Broadcast, vol. 51, pp. 69–7, 2005..

[12] Vivekananda Bhat k, Abhijit Das, Indranil Sengupta,”An adaptive audio watermarking based on the singular value decomposition in wavelet domain”, Digital Signal Processing, vol.3, pp-1547-1558, 2010.

[13] Baiying Lei, Ing Yann Soon, Feng Zhou ,Zhen Li, Haijun Lei, “A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition”, Signal processing , Vol.92,issue 9, pp 1985-2001.

[14] Shuo-Tsung Chen , Huang-Nan Huang , ChurJen Chen , Kuo-Kun Tseng ,, Shu-Yi Tu,”Adaptive audio watermarking via the optimization point of view on the waveletbased entropy”, Digital Signal Processing, vol 23 , pp 971–980, 2013.

[15] Yang Hong-ying, Wang Xiang-yang, MaTianXiao, “A robust digital audio watermarking using higher-order statistics”, International Journal of Electronics and Communications, vol. 65 , pp 560–568,2011.

[16] C.M. Juli Janardhanan, C. Satish Kumar, “Performance Analysis of Discrete Wavelet Transform based Audio Watermarking on Indian Classical Songs”, International journal of computer application, vol.73, pp- 0975-888, 2013.

[17] Krishna Rao Kakkirala and Srinivasa Rao Chalamala , “ Digital audio watermarking using DWR-SVD and secret sharing”, International journal of signal processing system, vol 45, pp-59-62, 2013.

[18] Bassia, P., & Pitas, I.,” Robust audio watermarking in the time domain. IEEE Transaction on Multimedia”; 3(2): pp.232- 241, 2001.

[19] Dongmei Wu, Shangguo Yang, Zuochen Wang, Wenhua Qin, “BCH Code-Based Robust Audio Watermarking Algorithm in the DWT Domain”, International Conference on Intelligent Computation Technology and Automation, Vol. 1, pp. 878 – 880,2010.

[20] Ali Al-Haj, Ahmad Mohammad and Lama Bata, “DWT–Based Audio Watermarking” ,The International Arab Journal of Information Technology, Vol. 8, No. 3, pp 326-333, 2011.

[21] W.Bender, D.Grul, N.Morimoto, A.Lu, “Techniques for data hiding, IBM System Journal”, vol.35, pp.313-336, 1996.

[22] Ali Al-Haj, “A dual transform audio watermarking algorithm”, Multimedia Tools and Applications, Volume 73, Issue 3, pp 1897- 1912, 2014.

[23] Fabien A P Petitcolas, “Watermarking Schemes Evaluation”, Microsoft research.

[24] Yiqing Lin, Abdulla, W.H., “Perceptual evaluation of audio watermarking using objective quality measures” IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pp.1745 – 1748, 2008