Rotation robust detection of copy-move forgery

Abstract

Copy-move tampering is a common type of image synthesizing, where a part of an image is copied and pasted to another place to add or remove an object. In this paper, an efficient algorithm based on the Fourier-Mellin Transform is proposed with features extracted along radius direction. Also, to reduce computational cost, a link processing is introduced instead of hash value counting in the counting bloom filters. Moreover, a vector erosion filter is designed to cluster distance vectors, which is usually achieved through vector counters in existed copy-move detection algorithms. Our experimental results show that the improved algorithm can detect duplicated regions efficiently. Especially, the improved algorithm is robust to duplicated regions of large rotation angle, whereas existed algorithms can only treat slight rotation.