Image splicing detection based on estimation of camera intrinsic parameters

In this paper, we propose a new image splicing detection algorithm based on estimation of camera intrinsic parameters to detect splicing of figure photos or images with abundant geometry information. We use points, lines and other geometric features in the image to obtain constraint equations and then find the camera intrinsic parameters to determine possibilities of image splicing. In our algorithm, we use a modified camera calibration algorithm for passive authentication of splicing images, and have made good results.