Image Tampering Detection Techniques: A Statistical Review

Abstract

Copyrights and digital signatures have boosted a wide variety of research areas in image security domain. Even though these systems are very secure, but there exists a gap between copyrighting an image, and an attacker actually using the image for their own purposes. Usually attackers will try to remove or alter with the original signatures present in the image, and thereby there is a need of forgery detection algorithms in order to track the validity of the image under test. In this paper we provide a statistical review of various algorithms used to detect forgery of images, and focus on algorithms which have good accuracy of forgery detection upon comparison