A blocked statistics method based on directional derivative

The basic idea of identifying the motion blurred direction using the directional derivative is that the original image be an isotropic first-order Markov random process. However, the real effect of this method is not always good. There are many reasons, of which the main is that a lot of pictures do not meet the physical premises. The shapes of objects and texture of pictures would be vulnerably influenced for identifying. In this paper, according to the image characteristics of the local variance, we extract multiple blocks and identify the motion directions of the blocks to identify the motion blurred direction. Experimental results show that our method not only improve the identification accuracy, but also reduce the amount of computation.