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A Survey of Passive Image Tampering Detection

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Book cover Digital Watermarking (IWDW 2009)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5703))

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Abstract

Digital images can be easily tampered with image editing tools. The detection of tampering operations is of great importance. Passive digital image tampering detection aims at verifying the authenticity of digital images without any a prior knowledge on the original images. There are various methods proposed in this filed in recent years. In this paper, we present an overview of these methods in three levels, that is low level, middle level, and high level in semantic sense. The main ideas of the proposed approaches at each level are described in detail, and some comments are given.

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Author information

Authors and Affiliations

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing, P.R. China, 100190

    Wei Wang, Jing Dong & Tieniu Tan

Authors
  1. Wei Wang
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  2. Jing Dong
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  3. Tieniu Tan
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Editor information

Editors and Affiliations

  1. Faculty of Engineering and Physical Sciences, Department of Computing, University of Surrey, GU2 7XH, Guildford, Surrey, UK

    Anthony T. S. Ho

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

    Yun Q. Shi

  3. Multimedia Security Lab, Korea University, Science Campus, 136-701, Seoul, Korea

    H. J. Kim

  4. Department of Information Engineering, University of Siena, Via Roma 56, 53100, Siena, Italy

    Mauro Barni

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© 2009 Springer-Verlag Berlin Heidelberg

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Wang, W., Dong, J., Tan, T. (2009). A Survey of Passive Image Tampering Detection. In: Ho, A.T.S., Shi, Y.Q., Kim, H.J., Barni, M. (eds) Digital Watermarking. IWDW 2009. Lecture Notes in Computer Science, vol 5703. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03688-0_27

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  • DOI: https://doi.org/10.1007/978-3-642-03688-0_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03687-3

  • Online ISBN: 978-3-642-03688-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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