Image tamper detection algorithm based on Radon and Fourier-Mellin transform

Copy and Move is a very common way of image tampering. In order to detect images through rotation, scaling and other operations quickly and efficiently, image tamper detection based on Radon and Fourier-Mellin transform is presented. First calculate the testing image blocks through the Radon and Fourier-Mellin transform, and then extract the characteristic value of transformation results, finally obtain the value of the correlation moment features. It does not require binarization and normalization of gray image, but directly forms the graphics Radon transform and Fourier-Mellin transform to extract invariant features of the results. The theoretical analysis and experimental results show that the proposed algorithm is better than detection method based on orthogonal moments.