%0 Journal Article
%T Single image blind motion deblurring with sparse representation<br>基于稀疏表示的单帧运动图像盲复原
%A LI Xin-yi
%A LIU Ning-zhong
%A WANG Lin-ning
%A <br>李信一
%A 刘宁钟
%A 王林宁
%J 计算机应用研究
%D 2013
%I 
%X This paper presented a blind motion deblurring method based on sparse representation which made full use of nature image priors. It contained two phases: kernel estimation and image restoration. In the step of kernel estimation, it used shock filter to predict sharp edges from blurring image which conducted global image restoration. It applied multi-scale scheme to solve big kernel problem. In the step of image restoration, it applied sparse representation to denoise and rebuild latent image which improved image restoration quality. Experimental results show that the proposed method can effectively remove motion blurring under different noises and kernels.
%K blind deconvolution
%K motion blur
%K sparse representation
%K single image
%K shock filter
%K multi scale<br>盲目反卷积
%K 运动模糊
%K 稀疏表示
%K 单帧图像
%K shock滤波器
%K 多尺度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=DD8ECC43358E540D4B49A7C1324D1521&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=E158A972A605785F&sid=E477FFDBDE309A4B&eid=B7C3373069B7AC9F&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=21