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Remote Sensing Data Copy-Move Forgery Protection Algorithm

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Computer Vision and Graphics (ICCVG 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9972))

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Abstract

Copy-move attack is one of the most popular digital image forgery attacks. The main problem is that existing studies do not provide high detection accuracy with low computational complexity. High complexity of existing feature based solutions makes impossible to use them for large remote sensing snapshots analysis. In this paper there is proposed a copy-move detection algorithm based on perceptual hash value calculation. Hash values are evaluated using the result of binary gradient contours computation. The proposed solution showed high detection accuracy and low computational complexity for copy-move detection in remote sensing data.

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References

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Acknowledgements

This work was financially supported by the Russian Scientific Foundation (RSF), grant no. 14-31-00014 “Establishment of a Laboratory of Advanced Technology for Earth Remote Sensing”.

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Authors and Affiliations

  1. Samara National Research University, Samara, Russia

    Andrey Kuznetsov

Authors
  1. Andrey Kuznetsov
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Correspondence to Andrey Kuznetsov .

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Editors and Affiliations

  1. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences , Warsaw, Poland

    Leszek J. Chmielewski

  2. Computer Sci and Software Engineering, University of Western Australia , Perth, Australia

    Amitava Datta

  3. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences SGGW , Warsaw, Poland

    Ryszard Kozera

  4. Institute of Computer Science, Silesian University of Technology , Gliwice, Poland

    Konrad Wojciechowski

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Kuznetsov, A. (2016). Remote Sensing Data Copy-Move Forgery Protection Algorithm. In: Chmielewski, L., Datta, A., Kozera, R., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2016. Lecture Notes in Computer Science(), vol 9972. Springer, Cham. https://doi.org/10.1007/978-3-319-46418-3_48

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  • DOI: https://doi.org/10.1007/978-3-319-46418-3_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46417-6

  • Online ISBN: 978-3-319-46418-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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