An Analysis of Image Forgery Detection Techniques

  • Chandan deep Kaur Department of Computer Engineering, Punjabi University, Patiala.
  • Navdeep Kanwal Department of Computer Engineering, Punjabi University, Patiala
Keywords: Image Forgery, Forgery Detection, Fake Pictures, Blind Methods


Society is becoming increasingly dependent on the internet and so does it become more and more vulnerable to harmful threats. These threats are becoming vigorous and continuously evolving. These threats distorted the authenticity of data transmitted through the internet. As we all completely or partially rely upon this transmitted data. Hence, its authenticity needs to be preserved. Images have the potential of conveying much more information as compared to the textual content. We pretty much believe everything that we see. In order to preserve/check the authenticity of images, image forgery detection techniques are expanding its domain. Detection of forgeries in digital images is in great need in order to recover the people’s trust in visual media. This paper is going to discuss different types of image forgery and blind methods for image forgery detection. It provides the comparative tables of various types of techniques to detect image forgery. It also gives an overview of different datasets used in various approaches of forgery detection.

Author Biographies

Chandan deep Kaur, Department of Computer Engineering, Punjabi University, Patiala.
Student, Department of Computer Engineering, Punjabi University, Patiala.
Navdeep Kanwal, Department of Computer Engineering, Punjabi University, Patiala
Assistant Professor, Department of Computer Engineering, Punjabi University, Patiala


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How to Cite
Kaur, C. deep, & Kanwal, N. (2019). An Analysis of Image Forgery Detection Techniques. Statistics, Optimization & Information Computing, 7(2), 486-500.
Research Articles