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Coevolutionary genetic watermarking for owner identification

  • Advances in Intelligent Data Processing and Analysis
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Abstract

In this paper, we propose a coevolutionary genetic watermarking scheme based on wavelet packet transform. Wavelet packet transform can be viewed as a generalization of the discrete wavelet transform, and a best wavelet basis in the sense of some cost metric can be found within a large library of permissible bases. Coevolutionary genetic algorithm is employed to select an appropriate basis from permissible bases of wavelet packet transform, and it determines the subbands for watermark embedding. Experimental results demonstrate that proposed method can increase the capability to resist specific image processing methods while keeping quality of the watermarked image acceptable. Moreover, the architecture of cooperative coevalutionary genetic algorithm is particularly suitable in distributed computing environment. This characteristic would make genetic watermarking schemes more applicable in real-world applications.

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References

  1. Chen YH, Huang HC (2009) Genetic watermarking based on wavelet packet transform. In: Ninth international conference on hybrid intelligent systems (HIS2009), vol 1, pp 262–265

  2. Chen YH, Su JM, Huang HC, Pao HT, Fu HC (2005) Adaptive watermarking using relationships between wavelet coefficients. In: 2005 IEEE international symposium on circuits and systems (ISCAS 2005), vol 5, pp 4979–4982

  3. Cox IJ, Miller ML, Bloom JA, Fridrich J, Kalker T (2007) Digital watermarking and steganography. Elsevier, London

    Google Scholar 

  4. Dey N, Samanta S, Yang XS, Das A, Chaudhuri SS (2013) Optimisation of scaling factors in electrocardiogram signal watermarking using cuckoo search. Int J Bio-Inspired Comput 5(5):315–326

    Article  Google Scholar 

  5. Gen M, Cheng R (1997) Genetic algorithms and engineering design. Wiley series in engineering design and automation. Wiley, New York

    Google Scholar 

  6. Goldberg DE (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Reading

    MATH  Google Scholar 

  7. Holland JH (1992) Adaptation in natural and artificial systems. MIT Press, Cambridge

    Google Scholar 

  8. Huang CH, Wu JL (2000) A watermark optimization technique based on genetic algorithms. In: SPIE electronic imaging 2000. San Jose

  9. Huang HC, Chen YH (2009) Genetic fingerprinting for copyright protection of multicast media. Soft Comput 13(4):383–391

    Article  Google Scholar 

  10. Huang HC, Fang WC (2010) Metadata-based image watermarking for copyright protection. Simul Model Pract Theory 18(4):436–445

    Article  Google Scholar 

  11. Huang HC, Pan JS, Huang YH, Wang FH, Huang KC (2007) Progressive watermarking techniques using genetic algorithms. Circuits Syst Signal Process 26(5):671–687

    Article  MATH  Google Scholar 

  12. Li ZN, Drew MS (eds) (2003) Fundamentals of multimedia. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  13. Mathon B, Cayre F, Bas P, Macq B (2014) Optimal transport for secure spread-spectrum watermarking of still images. IEEE Trans Image Process 23(4):1694–1705

    Article  MathSciNet  Google Scholar 

  14. Schwindt S, Amornraksa T (2002) Performance comparison of zerotrees based digital watermarking. In: IEEE international conference on industrial technology (IEEE ICIT 02), vol 1, pp 78–81

  15. Shieh CS, Huang HC, Wang FH, Pan JS (2003) An embedding algorithm for multiple watermarks. J Inf Sci Eng 19(2):381–395

    Google Scholar 

  16. Wang S, Zheng D, Zhao J, Tam WJ, Speranza F (2014) Adaptive watermarking and tree structure based image quality estimation. IEEE Trans Multimed 16(2):311–325

    Article  Google Scholar 

  17. Wei Z, Dai J, Li J (2006) Genetic watermarking based on dct domain techniques. In: Canadian conference on electrical and computer engineering, 2006. CCECE ’06, pp 2365–2368

  18. Yang Y, Yu X (2007) Cooperative coevolutionary genetic algorithm for digital IIR filter design. IEEE Trans Indust Electron 54(3):1311–1318

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Correspondence to Hsiang-Cheh Huang.

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Chen, YH., Huang, HC. Coevolutionary genetic watermarking for owner identification. Neural Comput & Applic 26, 291–298 (2015). https://doi.org/10.1007/s00521-014-1615-z

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  • DOI: https://doi.org/10.1007/s00521-014-1615-z

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