A review on copy move image forgery detection techniques

Abstract

With the advent of powerful image editing tools, manipulating images and changing their content is becoming a trivial task. It is now possible to add, modify, or remove important features from an image without leaving any perceptual traces of tampering. With more than several million pictures uploaded daily to the net, and the introduction of e-Government services, it is becoming important to develop robust detection methods to identify image tampering operations. To this end, image forensics techniques aim at restoring trust and acceptance in digital media by uncovering tampering methods. Such detection techniques are the focus of this paper. In particular, we provide a survey of different forging detection techniques with a focus on copy and move approaches.