Segmentation-Based Image Copy-Move Forgery Detection Scheme

In this paper, we propose a scheme to detect the copy-move forgery in an image, mainly by extracting the keypoints for comparison. The main difference to the traditional methods is that the proposed scheme first segments the test image into semantically independent patches prior to keypoint extraction. As a result, the copy-move regions can be detected by matching between these patches. The matching process consists of two stages. In the first stage, we find the suspicious pairs of patches that may contain copy-move forgery regions, and we roughly estimate an affine transform matrix. In the second stage, an Expectation-Maximization-based algorithm is designed to refine the estimated matrix and to confirm the…

• NN
  National Natural Science Foundation of China

  Awards: 61300238, 61173142, 61379151, 61232016
• SF
  Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology

  Award: 2012x053