An adaptive robust watermarking algorithm for audio signals using SVD

被引:13
作者
Dutta M.K. [1 ]
Pathak V.K. [2 ]
Gupta P. [3 ]
机构
[1] Department of Electronics and Communication Engineering, Galgotias College of Engineering and Technology, Greater Noida
[2] Department of Computer Science and Engineering, HBTI, Kanpur
[3] Department of Computer Science and Engineering, IIT, Kanpur
来源
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2010年 / 6340卷 / PART 1期
关键词
Audio Signals; Digital right management; Robustness; Singular value decomposition; Watermarking;
D O I
10.1007/978-3-642-17499-5_6
中图分类号
学科分类号
摘要
This paper proposes an efficient watermarking algorithm which embeds watermark data adaptively in the audio signal. The algorithm embeds the watermark in the host audio signal in such a way that the degree of embedding (DOE) is adaptive in nature and is chosen in a justified manner according to the localized content of the audio. The watermark embedding regions are selectively chosen in the high energy regions of the audio signal which make the embedding process robust to synchronization attacks. Synchronization codes are added along with the watermark in the wavelet domain and hence the embedded data can be subjected to self synchronization and the synchronization code can be used as a check to combat false alarm that results from data modification due to watermark embedding. The watermark is embedded by quantization of the singular value decompositions in the wavelet domain which makes the process perceptually transparent. The experimental results suggest that the proposed algorithm maintains a good perceptual quality of the audio signal and maintains good robustness against signal processing attacks. Comparative analysis indicates that the proposed algorithm of adaptive DOE has superior performance in comparison to existing uniform DOE. © 2010 Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:131 / 153
页数:22
相关论文
共 25 条
  • [1] Bender W., Gruhl D., Morimoto N., Lu A., Techniques for data hiding, IBM Systems Journal, 35, 3-4, pp. 313-336, (1996)
  • [2] Katzenbeisser S., Petitcolas F.A.P., Information Hiding Techniques for Steganography and Digital Watermarking, (2000)
  • [3] Gerzon M.A., Graven P.G., A high-rate buried-data channel for audio CD, Journal of the Audio Engineering Society, 43, pp. 3-22, (1995)
  • [4] Gruhl D., Et al., Echo hiding, LNCS, 1174, pp. 295-315, (1996)
  • [5] Cooperman M., Moskowitz S., Steganographic Method and Device, (1997)
  • [6] Huang J., Wang Y., Shi Y.Q., A blind audio watermarking algorithm with selfsynchronization, Proc IEEE Int. Symp. Circuits and Systems, 3, pp. 627-630, (2002)
  • [7] Akhaee M.A., Saberian M.J., Feizi S., Marvasti F., Robust audio data hiding using correlated quantization with histogram-based detector, IEEE Transactions on Multimedia, pp. 834-842, (2009)
  • [8] Bhat V., Sengupta I., Das A., Audio watermarking based on mean quantizationin cepstrum domain, International Conference on Advance Computing and Communications, pp. 73-77, (2008)
  • [9] Arnold M., Audio watermarking: Features, applications, and algorithms, Proc IEEE Int. Conf. Multimedia & Expo., 2, pp. 1013-1016, (2000)
  • [10] Wei F.S., Feng X., Mengyuan L., A blind audio watermarking scheme using peak point extraction, Proceedings of IEEE International Symposium on Circuits and Systems, 5, pp. 4409-4412, (2005)