%0 Journal Article
%T Incremental Wiener Filter and Space-Adaptive Regularization Based Super-Resolution Image Restoration<br>基于增量维纳滤波和空间自适应规整的超分辨率图像复原
%A Yan Hua
%A Liu Ju
%A Li Dao-zhen
%A Sun Jian-de
%A <br>闫华
%A 刘琚
%A 李道真
%A 孙建德
%J 电子与信息学报
%D 2005
%I 
%X A new method of super-resolution image restoration is proposed in the paper. In this method, the piecewise smoothness of space-adaptive regularization combines with the rapid convergence of incremental Wiener filter and through an iteration process with a priori constraint about image, one super-resolution image is estimated from several low-resolution images. Simulations show that the method can implement restoration effectively and has good convergence.
%K Super-resolution
%K Image restoration
%K Incremental Wiener filter
%K Space-adaptive regularization<br>超分辨率
%K 图像复原
%K 增量维纳滤波
%K 空间自适应规整
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=E5258686E576D41A&yid=2DD7160C83D0ACED&vid=DB817633AA4F79B9&iid=CA4FD0336C81A37A&sid=6209D9E8050195F5&eid=16D8618C6164A3ED&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=2&reference_num=11