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Tamper Hiding: Defeating Image Forensics

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Book cover Information Hiding (IH 2007)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 4567))

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Abstract

This paper introduces novel hiding techniques to counter the detection of image manipulations through forensic analyses. The presented techniques allow to resize and rotate (parts of) bitmap images without leaving a periodic pattern in the local linear predictor coefficients, which has been exploited by prior art to detect traces of manipulation. A quantitative evaluation on a batch of test images proves the proposed method’s efficacy, while controlling for key parameters and for the retained image quality compared to conventional linear interpolation.

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Author information

Authors and Affiliations

  1. Institute for System Architecture, Technische UniversitŠt Dresden, 01062, Dresden, Germany

    Matthias Kirchner & Rainer Böhme

Authors
  1. Matthias Kirchner
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  2. Rainer Böhme
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Editor information

Editors and Affiliations

  1. Bretagne Atlantique Research Centre, INRIA Rennes, Campus universitaire de Beaulieu, 35042, Rennes cedex, France

    Teddy Furon

  2. Gipsa-lab Grenoble, CNRS, 961, rue de la Houille Blanche, BP 46, 38042, St. Martin d’Hères Cedex, France

    François Cayre

  3. University College London, Adastral Park, Ross Building 2, IP5 3RE, Martlesham, UK

    Gwenaël Doërr

  4. Gipsa-lab Grenoble, CNRS, 961 rue de la Houille Blanche Domaine universitaire, B.P. 46, 38402, Saint Martin d’Hères cedex, France

    Patrick Bas

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© 2007 Springer-Verlag Berlin Heidelberg

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Kirchner, M., Böhme, R. (2007). Tamper Hiding: Defeating Image Forensics. In: Furon, T., Cayre, F., Doërr, G., Bas, P. (eds) Information Hiding. IH 2007. Lecture Notes in Computer Science, vol 4567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77370-2_22

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  • DOI: https://doi.org/10.1007/978-3-540-77370-2_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77369-6

  • Online ISBN: 978-3-540-77370-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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