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Robust Blind Watermarking Scheme Using Wave Atoms

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Digital Watermarking (IWDW 2010)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 6526))

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Abstract

In this paper, a robust blind watermarking scheme using Multiple Descriptions (MD) is proposed. The watermark is embedded in the Wave Atom Transform domain by modifying one of the scale bands. The detection and extraction procedure do not need the original host image. We tested the proposed algorithm against nine types of attacks like JPEG compression, Gaussian Noise addition, Median Filtering, Salt and Pepper noise, etc. They are carried out using Matlab Software. The experimental results demonstrate that the proposed algorithms have great robustness against various imaging attacks.

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References

  1. Podilchuk, C.I., Delp, E.J.: Digital watermarking: algorithms and applications. IEEE Signal Process. Mag., 33–46 (2001)

    Google Scholar 

  2. Cox, I.J., Miller, M.L., Bloom, J.A.: Digital Watermarking. Morgan Kaufmann, San Francisco (2002)

    Google Scholar 

  3. Langelaar, G.C., Setyawan, I., Lagendijk, R.L.: Watermarking digital image and video data: a state-of-the-art overview. IEEE Signal Process. Mag., 20–46 (2000)

    Google Scholar 

  4. Cox, I.J., Kilian, J., Leighton, F.T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Trans. Image Process. 6(12), 1673–1687 (1997)

    Article  Google Scholar 

  5. Candes, E.J., Donoho, D.L.: New tight frames of curvelets and optimal repesentations of objects with C2 singularities. Communications on Pure and Applied Mathematics 57(2), 219–266 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  6. Candes, E.J., Donoho, D.L.: Fast Discrete Curvelet Transform. Applied and Computational Mathmatics, pp. 1–43. California Institute of Technology (2005)

    Google Scholar 

  7. Leung, H.Y., Cheng, L.M., Cheng, L.L.: A Robust Watermarking Scheme using Selective Curvelet Coefficients. International Journal of Wavelets, Multiresolution and Information Processing (IJWMIP) 7(2), 163–181 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  8. Tao, P., Dexterb, S., Eskicioglu, A.M.: Robust Digital Image Watermarking in Curvelet Domain. In: Proceedings of the SPIE, vol. 6819, pp. 68191B–68191B-12(2008)

    Google Scholar 

  9. Demanet, L.: Curvelets, wave atoms, and wave equations, Ph.D. Thesis, Caltech, http://math.stanford.edu/~laurent/papers/ThesisDemanet.pdf

  10. Demanet, L., Ying, L.: Wave atoms and sparsity of oscillatory patterns. Appl. Comput. Harmon. Anal. 23, 368–387 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  11. Rajeesh, J., Moni, R.S., Palanikumar, S.: Noise Reduction in Magnetic Resonance Images using Wave Atom Shrinkage. The International Journal of Image Processing (IJIP) 4(2), 131–141 (2010)

    Google Scholar 

  12. Federico, A., Kaufmann, G.H.: Denoising in digital speckle pattern interferometry using wave atoms. Opt. Lett. 32, 1232–1234 (2007)

    Article  Google Scholar 

  13. Lewis, A.S., Knowles, G.: Image compression using the 2-D wavelet transform. IEEE Transactions on Image Processing 1(2), 244–250 (1992)

    Article  Google Scholar 

  14. Katzenbeisser, S., Petitcolas, F.A.P.: Information Hiding Techniques for Steganography and Digital Watermarking. Artech House, Boston (2000)

    Google Scholar 

  15. Chandramouli, R., Graubard, B.M., Richmond, C.R.: A multiple description framework for oblivious watermarking. In: Proc. SPIE Security and Watermarking for Multimedia Contents 2001, San Jose, USA (2001)

    Google Scholar 

  16. Mohan, B.C., Kumar, S.S.: Robust Digital Watermarking Scheme using Contourlet Transform. IJCSNS International Journal of Computer Science and Network Security 8, 43–51 (2008)

    Google Scholar 

  17. Xiao, Y., Cheng, L.M., Cheng, L.L.: A Robust Image Watermarking Scheme Based on A Novel HVS Model in Curvelet Domain. In: IIHMSP 2008, Harbin, China, August 2008, pp. 343–346 (2008)

    Google Scholar 

  18. Tao, P., Eskicioglu, A.M.: A Robust Multiple Watermarking Scheme in the Discrete Wavelet Transform Domain. In: Optics East 2004 Symposium, Internet Multimedia Management Systems V Conference, Philadelphia, PA (2004)

    Google Scholar 

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Leung, H.Y., Cheng, L.M. (2011). Robust Blind Watermarking Scheme Using Wave Atoms. In: Kim, HJ., Shi, Y.Q., Barni, M. (eds) Digital Watermarking. IWDW 2010. Lecture Notes in Computer Science, vol 6526. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18405-5_12

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  • DOI: https://doi.org/10.1007/978-3-642-18405-5_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18404-8

  • Online ISBN: 978-3-642-18405-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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