Blind Detection of Region Duplication Forgery by Merging Blur and Affine Moment Invariants

Region duplication is a simple and effective operation to create digital image forgeries, where a part of the image is copied and pasted on another part of the same image. Most existing region duplication detection methods are based on directly matching blocks of image pixels or transform coefficients, and are not effective when duplicated regions have affined transforms or blur degradations. In this work we propose a new region duplicated detection method to automatically detect and localize duplicated regions in digital images. The method is based on merging blur and affine moment invariants, which allows successful detection of region duplication forgery, even under some simple affine transforms and blur degradations. Our experiments in synthesized forgery images with duplicated and distorted regions show that the proposed method gets effective detection. These demonstrate that our method is an effective way to detect the duplication regions under some simple affine transforms and blur degradations blindly.