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A Dual Binary Image Watermarking Based on Wavelet Domain and Pixel Distribution Features

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Advances in Multimedia Modeling (MMM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5916))

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Abstract

Considering that the binary images are featured little capability in data hiding, difficulty in watermarking embedding and two values, in order to improve the robustness and invisibility of watermarkings embedded into the binary images, a novel algorithm is presented which is based on DWT (Discrete Wavelet Transformation). The original watermarking signal is embedded into the lowest frequency sub-band of the wavelet domain. Combined with the technique of encryption, the extracted invariant pixel distribution features of the binary image establish another layer virtual watermarking and a mapping relationship between the two layer watermarkings. The mapping enables the self-restoration of the original watermarking with virtual watermarking when the binary image is attacked. The watermarking can be well extracted without the original binary image. The invisibility and robustness of the proposed algorithm are demonstrated by the Simulations such as Gaussian noise, JPEG compression and some geometric attacks.

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References

  1. Brassil, J., Low, S., Maxemchuk, N.F.: Copyright Protection for the Electronic Distribution of Text Documents. Proceedings of IEEE 87(7), 1181–1196 (1999)

    Article  Google Scholar 

  2. Huang, D., Yan, H.: Interword Distance Changes Represented by Sine Waves for Watermarking Text Images. IEEE Trans. on Syst. Video Technology 11(12), 1237–1245 (2001)

    Article  MathSciNet  Google Scholar 

  3. Mohanty, S.P., Ramakrishnan, K.R., Kankanhall, M.: A Dual Watermarking Technique for Images. In: Proceedings of the 7th ACM International Multimedia Conference, pp. 49–51. ACM Press, New York (1999)

    Google Scholar 

  4. Lie, W.N., Hsu, T.L., Lin, G.S.: Verification of Image Content Integrity by Using Dual Watermarking On Wavelets Domain. In: International Conference on Image Processing, Barcelona, vol. 3, pp. 487–490 (2003)

    Google Scholar 

  5. Barni, M., Bartolini, F.: Data Hiding for Fighting Piracy. IEEE Signal Processing Magazine 21(2), 28–39 (2004)

    Article  Google Scholar 

  6. Li, G., Xing-hua, S., Yuan-yuan, H., et al.: Distance Distribution Histogram and Its Application in Trademark Image Retrieval. Journal of Image and Graphics 7A(10), 1027–1031 (2002)

    Google Scholar 

  7. Frattolillo, F., D’Onofrio, S.: An Image Watermarking Procedure Based on XML Documents. In: The 11th International Conference on Distributed Multimedia Systems, Banff, pp. 22–27 (2005)

    Google Scholar 

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© 2010 Springer-Verlag Berlin Heidelberg

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Xia, W., Lu, H., Zhao, Y. (2010). A Dual Binary Image Watermarking Based on Wavelet Domain and Pixel Distribution Features. In: Boll, S., Tian, Q., Zhang, L., Zhang, Z., Chen, YP.P. (eds) Advances in Multimedia Modeling. MMM 2010. Lecture Notes in Computer Science, vol 5916. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11301-7_16

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  • DOI: https://doi.org/10.1007/978-3-642-11301-7_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11300-0

  • Online ISBN: 978-3-642-11301-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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