The week's pick
Reseach Article
Performance Analysis of Watermarking on Indian Classical Songs using Lifting Wavelet Transform and Singular Value Decomposition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 83 - Number 14 |
| Year of Publication: 2013 |
| Authors: C. M. Juli Janardhanan, C. Sathish Kumar |
10.5120/14516-2900
|
C. M. Juli Janardhanan, C. Sathish Kumar . Performance Analysis of Watermarking on Indian Classical Songs using Lifting Wavelet Transform and Singular Value Decomposition. International Journal of Computer Applications. 83, 14 ( December 2013), 18-24. DOI=10.5120/14516-2900
Abstract
Digital audio watermarking performs the process of embedding a perceptually transparent digital signature carrying a message about the host signal into a host audio signal. A technique of digital audio watermarking using lifting based wavelet transform (LWT) and singular value decomposition (SVD) is applied to watermark Indian classical songs. In order to confirm the security and improve the robustness of the audio watermarking scheme, binary watermark image encrypted using Arnold transform is used. The encrypted watermark bits are embedded into the singular values of the coefficient matrix of LWT low frequency subband through quantization index modulation (QIM). In order to evaluate the performance of the LWT-SVD based audio watermarking method, subjective and objective quality tests are conducted. Investigations are performed using different wavelets and the performance parameters show that Daubechies (Db4) wavelet is more suited for watermarking of Indian classical songs. Robustness of the algorithm is analyzed by including additive white gaussian noise, denoising, and resampling.
References
- Cvejic, N. 2004. Algorithms for Audio Watermarking and Steganography. Academic Dissertation, University of Oulu.
- Alsalami, M. A. T. , and Al-Akaidi, M. M. 2003. Digital Audio Watermarking: Survey. Proc. 17th European Simulation Multi-conference, SCS Europe BVBA.
- Bassia, P. , Pitas, I, and Nikolaidis, N. , 2001. Robust audio watermarking in the time domain. IEEE Trans. Multimedia 3(2), 232–241.
- Al-Haj, A. , Mohammad, A. , and Bata, L. 2011. DWT Based Audio Watermarking, The International Arab Journal of Information Technology, Vol. 8, No. 3, 326-333.
- Vieru, R. , Tahboub R. Constantinescu, C. , and Lazarescu, V. , 2005. New Results Using the Audio Watermarking Based on Wavelet Transform, International Symposium on Signals, Circuits and Systems, ISSCS, IEEE, 441-444.
- Datta, K. and Sengupta, I. 2010. A Redundant Audio Watermarking Technique using Discrete Wavelet Transformation, Second International Conference on Communication Software and Networks, 27-31.
- Lei B. , Y. , Soon, I. Y. , and Li, Z. 2011. Blind and robust audio watermarking scheme based on SVD-DCT, Signal Processing, 91(8), 1973-1984
- Baoyuan, C. , Yanli, H. , Ruigang, L. , and Gang, H. 2011. The audio watermarking system based on wavelet transform algorithm, Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, 1274 – 1277.
- Bhat, K. V. , Sengupta, I. , and Das, A. 2010. An adaptive audio watermarking based on the singular value decomposition in the wavelet domain, Digital Signal Processing, 20, 1547–1558.
- Daubechies, I. , and Sweldens, W. 1998. Factoring Wavelet Transforms into Lifting Steps, J. Fourier Anal. Appl. , 4(3), 245-267.
- Acharya, T. , and Chakrabarti, C. 2006. A Survey on Lifting-based Discrete Wavelet Transform Architectures, Journal of VLSI Signal Processing, 42, 321–339.
- Lei, B. , Soon, I. Y. , Zhou, F. , Li, Z. , and Lei, H. 2012. A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition, Signal Processing, 92, 1985–2001.
- Erçelebi, E. , and Batakç?, L. 2009. Audio watermarking scheme based on embedding strategy in low frequency components with a binary image, Digital Signal Processing 19, 265–277.
- Wang, X. , Wang, P. , Zhang, Z. , Xu, S. , and Yang, H. , 2013. A norm-space, adaptive, and blind audio watermarking algorithm by discrete wavelet transform. Signal Processing 93(4): 913-922.
- Tang, Z. , Zhang, X. 2011. Secure image encryption without size limitation using Arnold transform and random strategies. Journal of Multimedia, Vol. 6, No. 2, 202-206.
- Chen, B. , and Wornell, G. W. , 2001. Quantization index modulation: A class of provably good methods for digital watermarking and information embedding. IEEE Transaction on Information Theory, Vol. 47, No. 4, 1423-1443.
- Chen, B. , and Wornell, G. W. , 2001. Quantization Index Modulation Methods for Digital Watermarking and Information Embedding of Multimedia, Journal of VLSI Signal Processing, 27, 7–33.
- International Telecommunications Union Recommen-dation. 1998. Method for Objective Measurements of Perceived Audio Quality, BS. 1387.
- Yang S. , Tan W. , Chen Y. , and Ma W. , 2010, Quantization-Based Digital Audio Watermarking in Discrete Fourier Transform Domain, Journal of Multimedia, Vol. 5, No. 2, 151-158.
Index Terms
Keywords