Abstract
In this paper, a robust watermarking scheme for copyright protection of digital audio signal is proposed. The watermarks are embedded into the low frequency coefficients in discrete multiwavelet transform domain to achieve robust performance against common signal processing procedures and noise corruptions. The embedding technique is based on quantization process which does not require the original audio signal in the watermark extraction. The experimental results show that the proposed scheme yields the watermark audio signal with high quality and the watermark survives to most of the attacks which were included in this study.
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References
Lee, S.J., Jung, S.H.: A Survey of Watermarking Techniques Applied to Multimedia. In: Proceedings of IEEE International Symposium on Industrial Electronics, Pusan, South Korea, vol. 1, pp. 272–277 (2001)
Katzenbeisser, S., Petitcolas, F.A.P.: Information Hiding Techniques for Steganography and Digital Watermarking. Artech House, Massachusetts (2000)
Seok, J.W., Hong, J.W.: Audio Watermarking for Copyright Protection of Digital Audio Data. IEE Electronics Letters 37(1), 60–61 (2001)
Wang, R., Xu, D., Chen, J., Du, C.: Digital Audio Watermarking Algorithm Based on Linear Predictive Coding in Wavelet Domain. In: Proceeding of the IEEE International Conference on Signal Processing, Beijing, China, vol. 1, pp. 2393–2396 (2004)
Chen, B., Wornell, G.W.: Quantization Index Modulation: A Class of Provably Good Methods for Digital Watermarking and Information Embedding. IEEE Transactions on Information Theory 47(4), 1423–1443 (2001)
Wu, S., Huang, J., Huang, D., Shi, Y.Q.: Efficiently Self-Synchronized Audio Watermarking for Assured Audio Data Transmission. IEEE Transaction on Broadcasting 51(1), 69–76 (2005)
Kwon, K.R., Tewfik, A.H.: Adaptive Watermarking Using Successive Subband Quantization and Perceptual Model Based on Multiwavelet Transform. In: Proceeding of the SPIE Security and Watermarking of Multimedia Contents IV, vol. 4675, pp. 334–348 (2002)
Kumsawat, P., Attakitmongcol, K., Srikaew, A.: A New Approach for Optimization in Image Watermarking by Using Genetic Algorithms. IEEE Transactions on Signal Processing 53(12), 4707–4719 (2005)
Ghouti, L., Bouridane, A.: A Robust Perceptual Audio Hashing Using Balanced Multiwavelets. In: Proceeding of the IEEE Internation Conference on Acoustics Speech and Signal Processing, Toulouse, France, vol. 1, pp. 209–212 (2006)
Attakitmongcol, K., Hardin, D.P., Wilkes, D.M.: Multiwavelet Prefilters II: Optimal Orthogonal Prefilters. IEEE Transactions on Image Processing 10(10), 1476–1487 (2001)
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Kumsawat, P., Attakitmongcol, K., Srikaew, A. (2008). Digital Audio Watermarking for Copyright Protection Based on Multiwavelet Transform. In: Ortiz-Arroyo, D., Larsen, H.L., Zeng, D.D., Hicks, D., Wagner, G. (eds) Intelligence and Security Informatics. EuroIsI 2008. Lecture Notes in Computer Science, vol 5376. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89900-6_17
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DOI: https://doi.org/10.1007/978-3-540-89900-6_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89899-3
Online ISBN: 978-3-540-89900-6
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