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An Improved Self-embedding Algorithm: Digital Content Protection against Compression Attacks in Digital Watermarking

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Image Processing and Communications Challenges 2

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 84))

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Summary

Lossy compression attacks in digital watermarking are one of the major issues in digital watermarking. Cheddad et al. proposed a robust secured self-embedding method which is resistant to a certain amount of JPEG compression. Our experimental results show that the self-embedding method is resistant to JPEG compression attacks and not resistant to other lossy compression attacks such as Block Truncation Coding (BTC) and Singular Value Decomposition (SVD). Therefore we improved Cheddad et al’s. method to give better protection against BTC and SVD compression attacks.

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References

  1. Voyatzis, G., Pitas, I.: Protecting digital-image copyrights: a framework. IEEE Computer Graphics and Applications 19, 18–24 (1999)

    Article  Google Scholar 

  2. Bender, W., Gruhl, D., Morimoto, N., Lu, A.: Techniques for data hiding. IBM Systems Journal 35(3&4), 313–336 (1996)

    Article  Google Scholar 

  3. Cox, I.J., Killian, J., Leighton, T., Shammon, T.: Secure spread spectrum for multimedia. IEEE Transactions on Image Processing 6(12), 1673–1687 (1997)

    Article  Google Scholar 

  4. Vetterli, M., Kovacevic, J.: Wavelet and Subband Coding. Prentice-Hall, Englewood Cliffs (1995)

    Google Scholar 

  5. Wolfgang, R.B., Podichuk, C.I., Delp, E.J.: Perceptual watermarks for digital images and video. Proceedings of the IEEE 87(7), 1108–1126 (1999)

    Article  Google Scholar 

  6. Cheddad, A., Condell, J., Curran, K., McKevitt, P.: A secure and improved self-embedding algorithm to combat digital document forgery. Signal Processing 89(12), 2324–2332 (2009)

    Article  MATH  Google Scholar 

  7. Daren, H., Jiufen, L., Jiwu, H., Hongmei, L.: A DWT-based image watermarking algorithm. In: IEEE Int. Conf. Multimedia and Expo., pp. 429–432 (2001)

    Google Scholar 

  8. Joo, S., Suh, Y., Shin, J., Kitkuchi, H.: A New Robust Watermark Embedding into Wavelet DC Components. ETRI Journal 24(5), 401–404 (2002)

    Article  Google Scholar 

  9. Floyd, R.W., Steinberg, L.: An adaptive algorithm for spatial grayscale. In: Proc. Soc. Inf. Disp., vol. 12, pp. 55–77 (1976)

    Google Scholar 

  10. Neelamani, R., Nowak, R., Baraniuk, R.G.: WInHD: wavelet-based inverse halftoning via deconvolution. submitted to IEEE Trans. Image Process. for publication (2002)

    Google Scholar 

  11. Chanda, B., Dutta Majumder, D.: Digital Image Processing and Analysis. Prentice-Hall, Englewood Cliffs (2000)

    Google Scholar 

  12. Richards, D., Abrahamsen, A.: Image compression using singular value decomposition. linear algebra applications (2001)

    Google Scholar 

  13. Prasantha, H.S., Shashidhara, H.L., Balasubramanya Murthy, K.N.: Image Compression using SVD. In: Proc. of International Conference on Computational Intelligence and Multimedia Applications, pp. 143–145 (2007)

    Google Scholar 

  14. Cheddad, A., Condell, J., Curran, K., McKevitt, P.: A Hash-based Image Encryption Algorithm. Opt. Comm. Elsevier Science. 283(6), 879–893 (2010)

    Google Scholar 

  15. Wang, Y., Liao, X., Xiao, D., Wong, K.: One-way hash function construction based on 2D coupled map lattices. Inf. Sci. 178(5), 1391–1406 (2008)

    Article  MATH  Google Scholar 

  16. US Secure Hash Algorithm 1 (2001), http://www.faqs.org/rfcs/rfc3174

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Yogarajah, P., Condell, J., Curran, K., Cheddad, A., McKevit, P. (2010). An Improved Self-embedding Algorithm: Digital Content Protection against Compression Attacks in Digital Watermarking. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 2. Advances in Intelligent and Soft Computing, vol 84. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16295-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-16295-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16294-7

  • Online ISBN: 978-3-642-16295-4

  • eBook Packages: EngineeringEngineering (R0)

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