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Scene Illumination as an Indicator of Image Manipulation

  • Conference paper
Information Hiding (IH 2010)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 6387))

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Abstract

The goal of blind image forensics is to distinguish original and manipulated images. We propose illumination color as a new indicator for the assessment of image authenticity. Many images exhibit a combination of multiple illuminants (flash photography, mixture of indoor and outdoor lighting, etc.). In the proposed method, the user selects illuminated areas for further investigation. The illuminant colors are locally estimated, effectively decomposing the scene in a map of differently illuminated regions. Inconsistencies in such a map suggest possible image tampering. Our method is physics-based, which implies that the outcome of the estimation can be further constrained if additional knowledge on the scene is available. Experiments show that these illumination maps provide a useful and very general forensics tool for the analysis of color images.

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Author information

Authors and Affiliations

  1. Pattern Recognition Lab, University of Erlangen-Nuremberg, Germany

    Christian Riess & Elli Angelopoulou

Authors
  1. Christian Riess
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  2. Elli Angelopoulou
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Editors and Affiliations

  1. International Computer Science Institute, 1947 Center Street, Suite 600, CA 94704, Berkeley, USA

    Rainer Böhme

  2. Department of Computer Science, University of Calgary, 2500 University Drive NW, T2N 1N4, Calgary, AB, Canada

    Philip W. L. Fong  & Reihaneh Safavi-Naini  & 

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Riess, C., Angelopoulou, E. (2010). Scene Illumination as an Indicator of Image Manipulation. In: Böhme, R., Fong, P.W.L., Safavi-Naini, R. (eds) Information Hiding. IH 2010. Lecture Notes in Computer Science, vol 6387. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16435-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-16435-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16434-7

  • Online ISBN: 978-3-642-16435-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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