%0 Journal Article
%T Blind image deconvolution based on Gibbs distribution<br>基于Gibbs分布的盲图像修复
%A LIU Rui-hua
%A BAO Zheng
%A <br>刘瑞华
%A 鲍政
%J 计算机应用
%D 2008
%I 
%X A weighted total variation algorithm was proposed for solving some blind deconvolution problems, and then we got the existence of energy functional minimum and educed corresponding thermal flow. In computer simulations, the algorithm performs well even when we have no more accurate prior knowledge about point spread function and the original true image, besides some other constrains. Experiments show that the proposed algorithm is more effective and performs better than the total variation blind deconvolution method proposed.
%K Gibbs distribution
%K total variation
%K point spread function
%K AM algorithm
%K blind deconvolution<br>Gibbs分布
%K 全变差
%K 点扩散函数
%K 交替迭代算法
%K 盲去卷积
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=620CA6EDC46B4CE10C84C7FA4FE2D8DD&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=9CF7A0430CBB2DFD&sid=035EA5881F0D26F4&eid=C584B8F7395CC278&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=9