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Implications for Image Watermarking of Recent Work in Image Analysis and Representation

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Digital Watermarking (IWDW 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2613))

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Abstract

We consider the potential implications of recent developments in subfields of image analysis and image representation for watermarking and steganography. We consider three rapidly developing subfields: 1. Natural Scene Statistics; 2. Level Set Image Processing and Geometric Diffusion; and 3. Computational Harmonic Analysis. Each of these subfields has recently claimed progress either in characterizing or processing images. We interpret all such progress as implicitly or explicitly identifying invariants of real images. Such invariants are potential tools for studying the effects of watermarking or steganography in an image. We briefly survey these three subfields, give several examples of such invariants, and explore the effects of model watermarking schemes on such invariants.

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Authors and Affiliations

  1. Department of Statistics, Stanford University, Sequoia Hall, 390 Serra Mall, 94305-4065, Stanford, CA, USA

    Ana Georgina Flesia & David L. Donoho

Authors
  1. Ana Georgina Flesia
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  2. David L. Donoho
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Editors and Affiliations

  1. Microsoft Research, 7 J. J. Thomson Avenue, CB3 0FB, Cambridge, UK

    Hyoung Joong Kim

  2. Department of Control and Instrumentation Engineering, Kangwon National University, 200-701, Chunchon, Korea

    Hyoung Joong Kim

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Flesia, A.G., Donoho, D.L. (2003). Implications for Image Watermarking of Recent Work in Image Analysis and Representation. In: Kim, H.J. (eds) Digital Watermarking. IWDW 2002. Lecture Notes in Computer Science, vol 2613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36617-2_11

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  • DOI: https://doi.org/10.1007/3-540-36617-2_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-01217-7

  • Online ISBN: 978-3-540-36617-1

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