Skip to main content

2013 | OriginalPaper | Buchkapitel

Digital Image Forensics: A Two-Step Approach for Identifying Source and Detecting Forgeries

verfasst von : Wiem Taktak, Jean-Luc Dugelay

Erschienen in: The Era of Interactive Media

Verlag: Springer New York

Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Digital Image Forensics includes two main domains: source device identification and semantic modification detection. Usually, existing works address one aspect only: either source identification or either image manipulation. In this article, we investigate a new approach based on sensor noise that operates in a two-step sequence: the first one is global whereas the second one is local. During the first step, we analyze noise in order to identify the sensor. We reused the method proposed by Jessica Fridrich et al. with an improvement of it useful when only a limited number of images is available to compute noise patterns. Then, having identified the sensor, we examine more locally, using quadtree segmentation, the noise differences between the pattern noise attached to the sensor and the noise extracted from the picture under investigation in order to detect possible alterations. We assume here that the portion of the image that underwent modifications is relatively small with regards to the surface of the whole picture. Finally, we report tests on the first publically available database (i.e. the Dresden database) that makes possible further comparisons of our algorithm with other approaches.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

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!

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!

Literatur
2.
Zurück zum Zitat J. A Redi, W. Taktak and J- L. Dugelay, “Digital image forensics: a booklet for beginners”, Multimedia Tools and Applications, Springer, pp. 1–30 October 2010 J. A Redi, W. Taktak and J- L. Dugelay, “Digital image forensics: a booklet for beginners”, Multimedia Tools and Applications, Springer, pp. 1–30 October 2010
3.
Zurück zum Zitat J. Adams, K. Parulski and K. Sapulding, “Color Processing in Digital Cameras”, IEEE Micro, vol. 18, no. 6, 1998 J. Adams, K. Parulski and K. Sapulding, “Color Processing in Digital Cameras”, IEEE Micro, vol. 18, no. 6, 1998
4.
Zurück zum Zitat Tran Van Lanh a, Kai-Sen Chong b, Sabu Emmanuel b, Mohan S Kankanhalli «A Survey on Digital Camera Image Forensic Methods. ICME 2007: 16–19 Tran Van Lanh a, Kai-Sen Chong b, Sabu Emmanuel b, Mohan S Kankanhalli «A Survey on Digital Camera Image Forensic Methods. ICME 2007: 16–19
5.
Zurück zum Zitat A.C. Popescu and H. Farid, “Statistical tools for digital forensics”, International Workshop on Information Hiding, 2004. A.C. Popescu and H. Farid, “Statistical tools for digital forensics”, International Workshop on Information Hiding, 2004.
6.
Zurück zum Zitat T. Gloe and R. Bohme,“The Dresden Image Database for benchmarking digital image forensics,” SAC, Sierre, 2010 T. Gloe and R. Bohme,“The Dresden Image Database for benchmarking digital image forensics,” SAC, Sierre, 2010
7.
Zurück zum Zitat J. Lukáš, J. Fridrich and M. Goljan, “Digital camera identification from sensor pattern noise,” IEEE Transactions on Information Forensics and Security, vol. 1, no. 2, pp. 205–214, June 2006CrossRef J. Lukáš, J. Fridrich and M. Goljan, “Digital camera identification from sensor pattern noise,” IEEE Transactions on Information Forensics and Security, vol. 1, no. 2, pp. 205–214, June 2006CrossRef
8.
Zurück zum Zitat M.K. Mihcak, I. Kozintsev and A. Tzortis, “Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising,” in Proc. IEEE Int. Conf. Acoustics, speech, and Signal Processing, vol. 6, pp. 3253–3256, Mar 1999 M.K. Mihcak, I. Kozintsev and A. Tzortis, “Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising,” in Proc. IEEE Int. Conf. Acoustics, speech, and Signal Processing, vol. 6, pp. 3253–3256, Mar 1999
9.
Zurück zum Zitat Delp E.J, Khanna N, Mikkilineni A.K (2009) «Forensic Camera Classification: Verification of Sensor Pattern Noise Approach». Proceeding of the SPIE international Conference on Security Delp E.J, Khanna N, Mikkilineni A.K (2009) «Forensic Camera Classification: Verification of Sensor Pattern Noise Approach». Proceeding of the SPIE international Conference on Security
Metadaten
Titel
Digital Image Forensics: A Two-Step Approach for Identifying Source and Detecting Forgeries
verfasst von
Wiem Taktak
Jean-Luc Dugelay
Copyright-Jahr
2013
Verlag
Springer New York
DOI
https://doi.org/10.1007/978-1-4614-3501-3_4

Neuer Inhalt