Detecting digital image forgeries through inconsistent motion blur

Fake images have become ubiquitous today in society, as they can be created at the expense of a few clicks using photo manipulation software. The detection of splicing in images has received research attention in recent years. In this paper, we present a novel method of detecting splicing in images, using discrepancies in motion blur. We use motion blur estimation through spectral matting in order to detect inconsistencies between the spliced region and the rest of the image. Experimental results show the effectiveness of our technique. Comparison studies show that this technique performs better than existing blur-based techniques when applied to motion blur.