Harnessing motion blur to uncover splicing

Image tampering has become rampant in today's world due to availability of sophisticated image editing tools. In this paper, we deal with the problem of image splicing which is one form of tampering. We propose a passive method to detect the presence of splicing in a given image based on inconsistencies derived from motion blur. Both planar and 3D scenes are considered. The cause of blurring in the image is restricted to translation camera motion while the scene is assumed to be static. We validate our approach on synthetic as well as real examples. © 2013 IEEE.