Motion deblurring based on image segmentation
分区域去运动模糊

Motion de-blurring is a heated topic in the area of image quality enhancement, where kernel estimation is the key challenge. In this paper, we propose a new approach, which first performs segmentation on the input image and then deblur different regions. The method described in this paper includes the following steps: image decomposition, image segmentation, region-based kernel estimation and non-blind de-convolution,as well as image reconstruction by use of overlapping regions. Experimental results show that our method can outperform single kernel motion de-blurring methods in some cases.