Unmasking the digital deception - a comprehensive survey on image forgery and detection techniques
Author:
Affiliation:
1. School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
2. Computer Science Department (Artificial Intelligence & Machine Learning), Rajiv Gandhi National Institute of Youth Development, Sriperumbudur, India
Publisher
Informa UK Limited
Subject
Pathology and Forensic Medicine
Link
https://www.tandfonline.com/doi/pdf/10.1080/00450618.2023.2270575
Reference136 articles.
1. Farid H Johnson MK. Detecting photographic composites of people. Workshop on Digital watermarking. China; 2007.
2. Johnson MK, Farid H. Exposing digital forgeries through chromatic aberration. In: ACM Multimedia and Security Workshop. Geneva, Switzerland; 2006. p.48–55.
3. Johnson MK, Farid H. Exposing digital forgeries by detecting inconsistencies in lightning. In: ACM Multimedia and Security Workshop, New York, USA; 2005. p.1–10.
4. Fridrich J, Soukal D, Luka J. Detection of copy-move forgery in digital images. In: Digital Forensic Research Workshop, Cleveland, Ohio; 2003. p.6–8.
5. Popescu AC, Farid H. Exposing digital forgeries by detecting duplicated regions. Hanover (NH): Dept. of Computer Science, Dartmouth college Technical Representation; 2004. p. 2004–2515.
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