A Synchronization Scheme Based on Moving Average for Robust Audio Watermarking
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초록
The synchronization scheme based on moving average is robust and suitable for the same rule to be adopted inembedding watermark and synchronization code, but the imperceptibility and search efficiency is seldomreported. The study aims to improve the original scheme for robust audio watermarking. Firstly, the survival ofthe algorithm from desynchronization attacks is improved. Secondly, the scheme is improved in inaudibility. Objective difference grade (ODG) of the marked audio is significantly changed. Thirdly, the imperceptibility ofthe scheme is analyzed and the derived result is close to experimental result. Fourthly, the selection of parametersis optimized based on experimental data. Fifthly, the search efficiency of the scheme is compared with those ofother synchronization code schemes. The experimental results show that the proposed watermarking schemeallows the high audio quality and is robust to common attacks such as additive white Gaussian noise,requantization, resampling, low-pass filtering, random cropping, MP3 compression, jitter attack, and time scalemodification. Moreover, the algorithm has the high search efficiency and low false alarm rate.
Abstract
The synchronization scheme based on moving average is robust and suitable for the same rule to be adopted inembedding watermark and synchronization code, but the imperceptibility and search efficiency is seldomreported. The study aims to improve the original scheme for robust audio watermarking. Firstly, the survival ofthe algorithm from desynchronization attacks is improved. Secondly, the scheme is improved in inaudibility. Objective difference grade (ODG) of the marked audio is significantly changed. Thirdly, the imperceptibility ofthe scheme is analyzed and the derived result is close to experimental result. Fourthly, the selection of parametersis optimized based on experimental data. Fifthly, the search efficiency of the scheme is compared with those ofother synchronization code schemes. The experimental results show that the proposed watermarking schemeallows the high audio quality and is robust to common attacks such as additive white Gaussian noise,requantization, resampling, low-pass filtering, random cropping, MP3 compression, jitter attack, and time scalemodification. Moreover, the algorithm has the high search efficiency and low false alarm rate.
참고문헌 (18)
- G. Hua, "Twenty years of digital audio watermarking : a comprehensive review", Signal Processing, 128, pp.222~242 (2016)
- S. Xiang, "Histogram-based audio watermarking against time-scale modification and cropping attacks", IEEE Transactions on Multimedia, 9(7), pp.1357~1372 (2007)
- X. Kang, "Geometric invariant audio watermarking based on an LCM feature", IEEE Transactions on Multimedia, 13(2), pp.181~190 (2011)
- X. Y. Wang, "A robust digital audio watermarking based on statistics characteristics", Pattern Recognition, 42(11), pp.3057~3064 (2009)
- X. Y. Wang, "A novel synchronization invariant audio watermarking scheme based on DWT and DCT", IEEE Transactions on Signal Processing, 54(12), pp.4835~4840 (2006)
- V. Bhat, "An adaptive audio watermarking based on the singular value decomposition in the wavelet domain", Digital Signal Processing, 20(6), pp.1547~1558 (2010)
- Y. Xiang, "Patchwork-based audio watermarking method robust to de-synchronization attacks", IEEE, 2014, pp.22(9), 1413~1423
- S. Wu, "Efficiently self-synchronized audio watermarking for assured audio data transmission", IEEE Transactions on Broadcasting, 51(1), pp.69~76 (2005)
- M. Arnold, "A phase-based audio watermarking system robust to acoustic path propagation", IEEE Transactions on Information Forensics and Security, 9(3), pp.411~425 (2014)
- J. Huang, "A blind audio watermarking algorithm with self-synchronization", Proceedings of 2002 IEEE International Symposium on Circuits and Systems (2002)
- C. M. Pun, "Robust segments detector for de-synchronization resilient audio watermarking", IEEE Transactions on Audio, Speech, and Language Processing, 21(11), pp.2412~2424 (2013)
- D. Megias, "Efficient self-synchronised blind audio watermarking system based on time domain and FFT amplitude modification", Signal Processing, 90(12), pp.3078~3092 (2010)
- B. Chen, "Quantization index modulation : a class of provably good methods for digital watermarking and information embedding", IEEE Transactions on Information Theory, 47(4), pp.1423~1443 (2001)
- W. N. Lie, "Robust and high-quality time-domain audio watermarking based on lowfrequency amplitude modification", IEEE Transactions on Multimedia, 8(1), pp.46~59 (2006)
- M. Fallahpour, "Audio watermarking based on Fibonacci numbers", IEEE Transactions on Audio, Speech, and Language Processing, 23(8), pp.1273~1282 (2015)
- J. Q. Zhang, "Robust audio watermarking algorithm based on neighborhood averaging method", Journal of the China Railway Society, 34(7), pp.43~48 (2012)
- B. Lei, "A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition", Signal Processing, 92(9), pp.1985~2001 (2012)
- B. Lei, "A multipurpose audio watermarking algorithm with synchronization and encryption", Journal of Zhejiang University SCIENCE C, 13(1), pp.11~19 (2012)