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Optimization-based audio watermarking with integrated quantization embedding

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Abstract

In general, the performance of a multimedia watermarking scheme is measured in terms of signal-to-noise ratio (SNR) and robustness. However, there is a tradeoff between them which issues a challenge in the field of the watermarking. To overcome this problem, the embedding rules using amplitude quantization instead of single-coefficient quantization are first integrated as an embedding system that incorporates a state and the SNR is rewritten as a cost function which is a wavelet-based functional. Then, a nonlinear function connecting the cost function and the embedding system is derived. Finally, the Lagrange Principle is used to obtain the optimal solution which is an important formula for watermarking. Based on this formula, the synchronization code and watermark are embedded into the lowest frequency sub-band coefficients in the wavelet domain. In addition, the hidden information can be extracted without knowledge of the original audio. In the experiments, the performance of the proposed system is tested and the results verify the high SNR and strong robustness against multimedia signal processing or attacks.

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References

  1. Al-Haj A, Mohammad A, Bata L (2011) DWT–based audio watermarking. Int Arab J Inf Technol 8(3):326–333

    Google Scholar 

  2. Anderson B, Moore JB (1990) Optimal Control: Linear Quadratic Methods. Prentice-Hall

  3. Arnold M, Baum PG, Voeßing W (2009) A phase modulation audio watermarking technique. Springer LNCS 5806:102–116

    Google Scholar 

  4. Bartle RG (1976) The elements of real analysis, Secondth edn. Wiley, New York

    MATH  Google Scholar 

  5. Bender W, Gruhl D, Morimoto N, Lu A (1996) Techniques for data hiding. IBM Syst J 35(3/4):313–336

    Article  Google Scholar 

  6. Burrus CS, Gopinath RA, Gao H (1998) Introduction to wavelet theory and its application. Prentice-Hall, New Jersey

    Google Scholar 

  7. Chen S-T, Huang H-N, Chen C-J, Wu G-D (2010) Energy-proportion based scheme for audio watermarking. IET Proc Signal Process 4(5):576–587

    Article  Google Scholar 

  8. Chen B, Wornell GW (2001) Quantization index modulation: a class of provably good methods for digital watermarking and information embedding. IEEE Trans Inf Theory 47(4):1423–1443

    Article  MathSciNet  MATH  Google Scholar 

  9. Chen S-T, Wu G-D, Huang H-N (2010) Wavelet-domain audio watermarking scheme using optimization-based quantization. IET Proc Signal Process 4(6):720–727

    Article  MathSciNet  Google Scholar 

  10. Daubechies I (1992) Ten lectures on wavelets. SIAM, Philadelphia

    Book  MATH  Google Scholar 

  11. Gerzon MA, Graven PG (1995) A high-rate buried-data channel for audio CD. J Audio Eng Soc 43(1/2):3–22

    Google Scholar 

  12. Gruhl D (1996) Echo hiding. In Proc. 1st Information Hiding Workshop, LNCS, vol 1174, Berlin, Germany, pp 295–315

  13. Huang H-N, Chen S-T, Kung W-M, Lin M-S, Hsu C-Y (2013) Optimization-based embedding for wavelet-domain audio watermarking. Springer: J Signal Process Syst. doi:10.1007/s11265-013-0863-y

    Google Scholar 

  14. Huang J, Wang Y, Shi YQ (2002) A blind audio watermarking algorithm with self-synchronization. In: Proc. IEEE Int. Symp. Circuits and Systems, vol. 3, pp 627–630

  15. Katzenbeisser S, Petitcolas FAP (eds) (2000) Information Hiding Techniques for Steganography and Digital Watermarking: Artech House, Inc

  16. Khaldi K, Boudraa A-O (2013) Audio watermarking via EMD. IEEE Trans Audio Speech Lang Process 21(3):675–680

    Article  Google Scholar 

  17. Ko BS, Nishimura R, Suzuki Y (2002) Time-spread echo method for digital audio watermarking using PN sequence. In: Proceeding IEEE International Conference on Acoustics, Speech and Signal Processing, vol II, pp 2001–2004

  18. Mallat S (1989) A theory for multiresolution signal decomposition: the wavelet respresentation. IEEE Trans Pattern Anal Mach Intell 11:674–693

    Article  MATH  Google Scholar 

  19. Satheesh K, Sudhakar S (2013) Audio watermarking with synchronization code using EMD for copyright production. Int J Adv Agric Sci Technol 1(1):40–47

    Google Scholar 

  20. Swanson MD, Zhu B, Tewfik AH, Boney L (1998) Robust audio watermarking using perceptual masking. Elsevier: Sig Process 66(3):337–355

    MATH  Google Scholar 

  21. Vaidyanathan PP (2005) Multirate systems and filter banks. International Editions, Prentice-Hall

  22. Wang Y, Wu S, Huang J (2010) Audio watermarking scheme robust against desynchronization based on the dyadic wavelet transform. EURASIP J Adv Signal Process, vol 17. Article ID 232616

  23. Wu S, Huang J, Huang D, Shi YQ (2005) Efficiently self-synchronized audio watermarking for assure audio data transmission. IEEE Trans Broadcast 51(1):69–76

    Article  Google Scholar 

  24. Wu CP, Su PC, Kuo CCJ (1999) Robust frequency domain audio watermarking based on audio content analysis. In Proc. Int. Symp. Multimedia Information Processing, ISMIP, pp 37–45

  25. Xiang S (2011) Robust audio watermarking against the D/A and A/D conversions. EURASIP J Adv Signal Process 3:1–14

    Google Scholar 

  26. Xiang S, Huang J (2007) Histogram-based audio watermarking against time-scale modification and cropping attacks. IEEE Trans Multimed 9(7):1357–11372

    Article  Google Scholar 

  27. Xiang S, Kim H-J, Huang J (2008) Audio watermarking robust against time-scale modification and MP3 compression. Signal Process 88(10):2372–2387

    Article  MATH  Google Scholar 

  28. Yadav R, Yadav S, Singh J (2010) Audio watermarking based on PCM technique. Int J Comput Appl (0975–8887) 8(2): 24–28

Download references

Acknowledgment

Taiwan Government (MOST 103-2115-M-029 -003).

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Authors and Affiliations

  1. Sustainability Research Center, Tunghai University, Taichung, 40704, Taiwan, Republic of China

    Shuo-Tsung Chen

  2. Department of Applied Mathematics, Tunghai University, Taichung, 40704, Taiwan, Republic of China

    Shuo-Tsung Chen & Huang-Nan Huang

Authors
  1. Shuo-Tsung Chen
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  2. Huang-Nan Huang
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Correspondence to Huang-Nan Huang.

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Chen, ST., Huang, HN. Optimization-based audio watermarking with integrated quantization embedding. Multimed Tools Appl 75, 4735–4751 (2016). https://doi.org/10.1007/s11042-015-2500-1

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  • DOI: https://doi.org/10.1007/s11042-015-2500-1

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