Image forgery detection for region duplication tampering

This paper proposes an automatic tampering detection algorithm to detect the region duplication forgery on a digital image. This algorithm uses dual spare features and structure similarity to enhance the detection performance of the region duplication. We also create a local outlier detector to recognize the intrinsic repeated elements to avoid the false positive detection. For a quantitative performance analysis, the forgery images are automatically generated the region duplication with geometric and brightness distortion by the tampering generator. The experimental results show our proposed algorithm is more robust and effective than similar works in literature.