Nothing Special   »   [go: up one dir, main page]

Skip to main content

Detection of Image Region-Duplication with Rotation and Scaling Tolerance

  • Conference paper
Computational Collective Intelligence. Technologies and Applications (ICCCI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6421))

Included in the following conference series:

Abstract

Copy-move forgery, or region-duplication, is a common type of digital image tampering. This paper presents a novel approach to detect copy-move forgery even if rotation and/or scaling took place before copying. The image under test is divided into fixed-size blocks, and log-polar Fourier transform (LPFT) is performed on the inscribed circles of these blocks. Similarity in the LPFT between different patches provides an indication of the copy-move operation. Experimental results show efficacy of the proposed method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Fridrich, J., Soukal, D., Lukas, J.: Detection of copy-move forgery. In: Proc. of Digital Forensic Research Workshop, pp. 178–183 (2000)

    Google Scholar 

  2. Popescu, A.C., Farid, H.: Exposing digital forgeries by detecting duplicated image regions. Dept. Comput. Sci., Dartmouth College, Tech. Rep. TR2004-515 (2004)

    Google Scholar 

  3. Mahdian, B., Saic, S.: Detection of copy-move forgery using a method based on blur moment invariants. Forensic Sci. Int. 171, 180–189 (2007)

    Article  Google Scholar 

  4. Myrna, A., Venkateshmurthy, M., Patil, C.: Detection of region duplication forgery in digital images using wavelets and log-polar mapping. In: Proc. of International Conference on Computational Intelligence and Multimedia Applications, pp. 371–377 (2007)

    Google Scholar 

  5. Bravo, S., Nunez, A.: Passive forensic method for detecting duplicated regions affected by reflection, rotation and scaling. In: Proc. of European Signal Processing Conference, pp. 824–828 (2009)

    Google Scholar 

  6. Zokai, S., Wolberg, G.: Image registration using log-polar mappings for recovery of large-scale similarity and projective transformations. IEEE Trans. Image Processing 14(10), 1422–1434 (2005)

    Article  MathSciNet  Google Scholar 

  7. Lin, C.-Y., Wu, M., Bloom, J., Cox, I., Lui, Y.: Rotation, scale, and translation resilient watermarking for images. IEEE Trans. Image Processing 10(5), 767–782 (2001)

    Article  MATH  Google Scholar 

  8. Bayram, S., Sencar, H., Memon, N.: An efficient and robust method for detecting copy-move forgery. In: Proc. of International Conference on Acoustics, Speech, and Signal Processing, pp. 1053–1056 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wu, Q., Wang, S., Zhang, X. (2010). Detection of Image Region-Duplication with Rotation and Scaling Tolerance. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6421. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16693-8_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-16693-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16692-1

  • Online ISBN: 978-3-642-16693-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics