Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Introduction Read chapter Read first chapter

2020 | OriginalPaper | Chapter

6. Copy-Move Forgery Detection in Transform Domain

Authors : Aniket Roy, Rahul Dixit, Ruchira Naskar, Rajat Subhra Chakraborty

Published in: Digital Image Forensics

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this chapter, we present a copy-move forgery detection technique which utilizes Undecimated Dyadic Wavelet Transform (DyWT) for its operation. Dyadic Wavelet Transform (DyWT) is advantageous because it does not involve signal down-sampling and hence provides a better approximation compared to other wavelet transforms. Subsequently, we propose a technique to reduce the number of false positives obtained through application of this technique, to further improve the efficiency of the proposed scheme.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Copy-Move Forgery Detection with Similar But Genuine Objects
next chapter Conclusion and Future Research Directions
Literature
1.
Androutsos, D., Plataniotiss, K.N., Venetsanopoulos, A.N.: Distance measures for color image retrieval. In: Proceedings 1998 International Conference on Image Processing, 1998. ICIP 98, vol. 2, pp. 770–774. IEEE (1998)
2.
Bayram, S., Sencar, H.T., Memon, N.: An efficient and robust method for detecting copy-move forgery. In: IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009, pp. 1053–1056. IEEE (2009)
3.
Dixit, R., Naskar, R.: Dywt based copy-move forgery detection with improved detection accuracy. In: 2016 3rd International Conference on Signal Processing and Integrated Networks (SPIN), pp. 133–138. IEEE (2016)
4.
Fridrich, A.J., Soukal, B.D., Lukáš, A.J.: Detection of copy-move forgery in digital images. In: Proceedings of Digital Forensic Research Workshop. Citeseer (2003)
5.
Li, G., Wu, Q., Tu, D., Sun, S.: A sorted neighborhood approach for detecting duplicated regions in image forgeries based on DWT and SVD. In: 2007 IEEE International Conference on Multimedia and Expo, pp. 1750–1753. IEEE (2007)
6.
Mahdian, B., Saic, S.: Using noise inconsistencies for blind image forensics. Image Vis. Comput. 27(10), 1497–1503 (2009)CrossRef
7.
Muhammad, G., Hussain, M., Bebis, G.: Passive copy move image forgery detection using undecimated dyadic wavelet transform. Digit. Investig. 9(1), 49–57 (2012)CrossRef
8.
9.
10.
Zhang, J., Feng, Z., Su, Y.: A new approach for detecting copy-move forgery in digital images. In: 11th IEEE Singapore International Conference on Communication Systems, 2008. ICCS 2008, pp. 362–366. IEEE (2008)
Metadata
Title
Copy-Move Forgery Detection in Transform Domain
Authors
Aniket Roy
Rahul Dixit
Ruchira Naskar
Rajat Subhra Chakraborty
Copyright Year
2020
Publisher
Springer Singapore
Book
Digital Image Forensics

Print ISBN: 978-981-10-7643-5

Electronic ISBN: 978-981-10-7644-2

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-10-7644-2_6