Partition-Based Global Deblurring of Space-Variant Shake-Blurred Image

Aiming at space-variantly blurred images caused by non-uniform camera shake in the static scene,a partition-based global image-restoration algorithm with a blur-kernel selector was proposed.The image was partitioned into several regular blocks,and different parameters were employed to identify the blur kernels of each block so that a set of blur-kernel estimations were obtained for each segmented block;through a designed strategy of residual error evaluation,the optimal kernel estimation toward each subregion was screened out from the identified blur-kernel set;afterwards,the final and global restoration result was acquired by iteratively minimizing an objective function.Experiments show that in the case of images that contain subregions,which are of different shake-blur levels and whose contour divisions between each other are relatively distinct,restoration effects of the algorithm are particularly good.