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access icon free Survey on blind image forgery detection

  • Author(s): Tanzeela Qazi 1 ; Khizar Hayat 1 ; Samee U. Khan 2 ; Sajjad A. Madani 1 ; Imran A. Khan 1 ; Joanna Kołodziej 3 ; Hongxiang Li 4 ; Weiyao Lin 5 ; Kin Choong Yow 6 ; Cheng-Zhong Xu 7
    • View affiliations
    • Affiliations: 1: Department of Computer Science, COMSATS Institute of Information Technology, Abbottabad, Pakistan;
      2: Electrical and Computer Engineering, North Dakota State University, Fargo, ND, USA;
      3: Institute of Computer Science, Cracow University of Technology, Cracow, Poland;
      4: Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY, USA;
      5: Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China;
      6: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China;
      7: Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI, USA
  • Source: Volume 7, Issue 7, October 2013, p. 660 – 670
    DOI:  10.1049/iet-ipr.2012.0388 , Print ISSN 1751-9659, Online ISSN 1751-9667
© The Institution of Engineering and Technology
Received 16/07/2012, Accepted 19/02/2013, Revised 22/01/2013, Published

With the mushroom growth of state-of-the-art digital image and video manipulations tools, establishing the authenticity of multimedia content has become a challenging issue. Digital image forensics is an increasingly growing research field that symbolises a never ending struggle against forgery and tampering. This survey attempts to cover the blind techniques that have been proposed for exposing forgeries. This work dwells on the detection techniques for three of the most common forgery types, namely copy/move, splicing and retouching.

Inspec keywords: image forensics; message authentication; object detection; video signal processing

Other keywords: blind image forgery detection; mushroom growth; digital image manipulations tools; copy-move forgery; blind techniques; digital image forensics; multimedia content authenticity; retouching forgery; digital video manipulations tools; splicing forgery

Subjects: Computer vision and image processing techniques; Data security; Economic, social and political aspects of computing; Optical, image and video signal processing; Video signal processing

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