Copy-Move Forgery Detection in Digital Image

Authors:
Qing-Chu Yang;Chung-Lin Huang
Affiliations:
Department of Informatics, Fo-Guang University, Yilan, Taiwan;Department of Informatics, Fo-Guang University, Yilan, Taiwan and Department of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Tawian
Venue:
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2009

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Abstract

Digital images are easy to be tempered and edited due to availability of image editing software. The most common ways to temper a digital image is copy-paste forgery which is used to conceal objects or produce a non-existing scene. To detect the copy-paste forgery, we divide the image into blocks as the basic feature for detection, and transfer every block to a feature vector with lower dimension for comparison. The number of blocks and dimension of characteristics are the major factor affecting the computation complexity. In this paper, we modify the previous methods by using less cumulative offsets for block matching. The experimental results show that our method can successfully detect the forgery part even when the forged image is saved in a lossy format such as JPEG. The performance of the proposed method is demonstrated on several forged images.