Abstract
A robust and oblivious audio watermarking based on quantization of wavelet coefficients is proposed in this paper. Watermark data is embedded by quantizing large wavelet coefficient in absolute value of high frequency detail sub-band at the third level wavelet transform. The watermark can be extracted without using the host signal. Experimental results show that the proposed method has good imperceptibility and robustness under common signal processing attacks such as additive noise, low-pass filtering, re-sampling, re-quantization, and MP3 compression. Moreover it is also robust against desynchronization attacks such as random cropping and jittering. Performance of the proposed scheme is better than audio watermarking scheme based on mean quantization.
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References
Cox, I., Miller, M., Bloom, J., Fridrich, J., Kalke, T.: Digital watermarking and steganography, 2nd edn. Morgan Kaufmann, San Francisco (2007)
Cvejic, N., Seppanen, T.: Digital audio watermarking techniques and technologies. Information Science Reference, USA (August 2007)
Basia, P., Pitas, I., Nikolaidis, N.: Robust audio watermarking in the time domain. IEEE Transactions on Multimedia 3(2), 232–241 (2001)
Lanxun, W., Chao, Y., Jiao, P.: An audio watermark embedding algorithm based on mean-quantization in wavelet domain. In: 8th International Conference on Electronic Measurement and Instruments, pp. 2-423–2-425 (2007)
Kalantari, N., Ahadi, S., Kashi, A.: A robust audio watermarking scheme using mean quantization in the wavelet transform domain. In: IEEE International Symposium on Signal Processing and Information Technology, pp. 198–201 (2007)
Zhou, Z., Zhou, L.: A novel algorithm for robust audio watermarking based on quantification DCT domain. In: Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP 2007), vol. 1, pp. 441–444 (2007)
Tu, R., Zhao, J.: A novel semi-fragile audio watermarking scheme. In: Proceedings of the 2nd IEEE Internatioal Workshop on Haptic, Audio and Visual Environments and Their Applications (HAVE 2003), pp. 89–94 (2003)
Quan, X., Zhang, H.: Perceptual criterion based fragile audio watermarking using adaptive wavelet packets. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR 2004), vol. 2, pp. 867–870 (2004)
Kundur, D., Hatzinakos, D.: Digital watermarking for telltale tamper proofing and authentication. Proceedings of the IEEE 87(7), 1167–1180 (1999)
Voyatzis, G., Pitas, I.: Applications of toral automorphisms in image watermarking. In: Proceedings of International Conference on Image Processing, vol. 1, pp. 237–240 (1996)
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© 2008 Springer-Verlag Berlin Heidelberg
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Bhat K., V., Sengupta, I., Das, A. (2008). Audio Watermarking Based on Quantization in Wavelet Domain. In: Sekar, R., Pujari, A.K. (eds) Information Systems Security. ICISS 2008. Lecture Notes in Computer Science, vol 5352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89862-7_20
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DOI: https://doi.org/10.1007/978-3-540-89862-7_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89861-0
Online ISBN: 978-3-540-89862-7
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