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A Desynchronization Resilient Watermarking Scheme

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Transactions on Data Hiding and Multimedia Security IV

Part of the book series: Lecture Notes in Computer Science ((TDHMS,volume 5510))

Abstract

This paper presents a content-based desynchronization resistant digital image watermarking scheme. The image content is represented by strong important feature points obtained by our robust and improved Harris corner detector. These feature points are more resistant to geometric attacks and are therefore used by the Delaunay triangle matching and image restoration method to reduce synchronization errors. The spread-spectrum-based blind watermark embedding and retrieval scheme is applied in the Fourier domain of each perceptually highly textured subimage. The multiplicative scheme is then used to embed the same copy of the watermark at highly secure mid-frequency positions generated by one-way hash functions with different secret keys. The watermark detection decision is based on the number of matched bits between the recovered and embedded watermarks in embedding subimages. Experimental results demonstrate that our scheme is more robust to desynchronization attacks (i.e., geometric and common image processing attacks) than other peer feature-based approaches.

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Authors and Affiliations

  1. Department of Computer Science, Utah State University, Logan, UT, 84322-4205

    Xiaojun Qi & Ji Qi

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  1. Xiaojun Qi
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  2. Ji Qi
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Editors and Affiliations

  1. New Jersey Institute of Technology, University Heights, 07102-1982, Newark, NJ, USA

    Yun Q. Shi

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Qi, X., Qi, J. (2009). A Desynchronization Resilient Watermarking Scheme. In: Shi, Y.Q. (eds) Transactions on Data Hiding and Multimedia Security IV. Lecture Notes in Computer Science, vol 5510. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01757-5_2

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  • DOI: https://doi.org/10.1007/978-3-642-01757-5_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01756-8

  • Online ISBN: 978-3-642-01757-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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