Robust detection of region-duplication forgery in digital image

Abstract

Region duplication forgery, in which a part of a digital image is copied and then pasted to another portion of the same image in order to conceal an important object in the scene, is one of the common image forgery techniques. This paper describes an efficient and robust algorithm for detecting and localizing this type of malicious tampering. The algorithm first divides an image into small overlapped blocks and then compares the similarity of these blocks, finally identifies possible duplicated regions using the main shift vector. The experimental results show that above method is more robust comparing with other existing algorithms and can successfully detect this type of tampering for images that have been subjected to various forms of post region duplication image processing, including, blurring, noise contamination, severe lossy compression, and a mixture of these processing operations.