Abstract
Restoration of images corrupt by motion blurs has been strongly demanded due to the emergent digital camera market in recent years. In this paper, we propose a novel algorithm for blindly restoring images with uniform motion blur. The proposed algorithm consists of three steps to recover the motion blur parameters. At first, we estimate an approximate motion blur direction from the edge direction distribution of the blurred image. Subsequently, the motion blur extent is estimated by using the autocorrelation method. Finally, we refine the motion blur estimation by using total variation optimization. Experimental results show superior results by using the proposed algorithm over some previous methods for restoring images with uniform motion blur.