Region Duplication Detection Using Image Feature Matching

Abstract--Region duplication is a simple and effective operation to create digital image forgeries, where a continuous portion of pixels in an image, after possible geometrical and illumination adjustments, is copied and pasted to a different location in 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 the duplicated regions have geometrical or illumination distortions. In this work, we describe a new region duplication detection method that is robust to distortions of the duplicated regions. Our method starts by estimating the transform between matched SIFT keypoints, which are insensitive to geometrical and illumination distortions, and then finds all pixels within the duplicated regions after discounting the estimated transforms. The proposed method shows effective detection on an automatically synthesized forgery image data base with duplicated and distorted...

• Type: Journal
• Year: 2010
• Where: TIFS
• Authors: Xunyu Pan, Siwei Lyu
• Keywords: Duplicated Regions, Duplication Detection Method, Education, Region Duplication, TIFS 2010