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A Blind Digital Image Watermarking Method Based on the Dual-Tree Complex Discrete Wavelet Transform and Interval Arithmetic

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7259))

Abstract

We propose a new digital image watermarking method based on the dual-tree complex discrete wavelet transform (DT-CDWT) and interval arithmetic (IA). Both the DT-CDWT and IA produce redundancy from the original data. This implies that there is a possibility of developing a new watermarking method based on the DT-CDWT and IA. We describe our watermarking procedure in detail and show experimental results demonstrating that our method gives watermarked images that have better quality and that are robust against attacks such as marking, clipping, JPEG and JPEG2000 compressions, median filtering, addition of Gaussian white noise, addition of salt & pepper noise, rotation and resizing.

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References

  1. Baolong, G., Leida, L., Jeng-Shyang, P., Liu, Y., Xiaoyue, W.: Robust Image Watermarking Using Mean Quantization in DTCWT Domain. In: Eighth International Conference on Intelligent Systems Design and Applications, pp. 19–22 (2008)

    Google Scholar 

  2. Cox, I.J., Miller, M.L., Bloom, J.A., Fridrich, J., Kalker, T.: Digital Watermarking and Steganography. Morgan Kaufmann Publishers (2008)

    Google Scholar 

  3. Daubechies, I.: Ten Lectures on Wavelets. SIAM (1992)

    Google Scholar 

  4. Kingsbury, N.G.: Complex wavelets for shift invariant analysis and filtering of signals. Applied Computational Harmonic Analysis 10(3), 234–253 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  5. Lee, J.J., Kim, W., Lee, N.Y., Kim, G.Y.: A new incremental watermarking based on dual-tree complex wavelet transform. The Journal of Supercomputing 33, 133–140 (2005)

    Google Scholar 

  6. Mabtoul, S., Ibn-Elhaj, E., Aboutajdine, D.: A Blind Chaos-Based Complex Wavelet-Domain Image Watermarking Technique. IJCSNS International Journal of Computer Science and Network Security 6(3), 134–139 (2006)

    Google Scholar 

  7. Minamoto, T., Aoki, K.: A blind digital image watermarking method using interval wavelet decomposition. International Journal of Signal Processing, Image Processing and Pattern Recognition 3(2), 59–72 (2010)

    Google Scholar 

  8. Moore, R.E., Kearfott, R.B., Cloud, M.J.: Introduction to Interval Analysis. SIAM (2009)

    Google Scholar 

  9. Rump, S.M.: INTLAB - Interval Laboratory, http://www.ti3.tu-harburg.de/rump/intlab/

  10. Toda, H., Zhang, Z.: Perfect translation invariance with a wide range of shapes of Hilbert transform pairs of wavelet bases. International Journal of Wavelets, Multiresolution and Information Processing 8(4), 501–520 (2010)

    Article  MathSciNet  MATH  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Minamoto, T., Ohura, R. (2012). A Blind Digital Image Watermarking Method Based on the Dual-Tree Complex Discrete Wavelet Transform and Interval Arithmetic. In: Kim, H. (eds) Information Security and Cryptology - ICISC 2011. ICISC 2011. Lecture Notes in Computer Science, vol 7259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31912-9_29

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  • DOI: https://doi.org/10.1007/978-3-642-31912-9_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31911-2

  • Online ISBN: 978-3-642-31912-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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