Abstract
In this paper, we present an image restoration technique for noiseless circular motion blurred images. To simulate the circular motion blurred images, we create circular paths by applying the Bresenham line algorithm. The algorithm can simplify the spatially variant image restoration problem into the spatially invariant one. Since the degradation process along the circular blurring paths is spatially invariant, the sharp images can be obtained by applying a direct inverse filtering method in the spatial domain. Here, inverse filtering is applied to each circular path. Finally, we apply the nonlinear smoothing techniques to enhance the restored images. Experimental results will show the feasibility of the presented blurred image discretization and restoration method.
