%0 Journal Article
%T Motion deblurring based on image segmentation<br>分区域去运动模糊
%A Zhang Lu
%A Sheng Bin
%A Ma Lizhuang
%A <br>张璐
%A 盛斌
%A 马利庄
%J 中国图象图形学报
%D 2013
%I 
%X 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.
%K motion blur
%K image segmentation
%K deconvolution
%K overlapping regions<br>运动模糊
%K 图像分割
%K 反卷积
%K 重叠区域
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=2D4A7443505A2F1B1885756B7D1A51E3&yid=FF7AA908D58E97FA&vid=13553B2D12F347E8&iid=E158A972A605785F&sid=98494933359B55EC&eid=27A5865B8C0B85C3&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=24