%0 Journal Article
%T A Space-Adaptive Regularization Approach for Blind Image Restoration<br>一种空间自适应正则化图象盲复原算法
%A XUE Mei
%A ZOU Cai-rong
%A YANG Juan
%A YANG Lu-xi
%A <br>薛梅
%A 邹采荣
%J 中国图象图形学报
%D 2002
%I 
%X A new space-adaptive regularization method for blind image restoration, which combines the idea of priori blur identification is presented. This new technique first identifies the point spread function(PSF) by using alternating minimization iterative algorithm. Then it restores the image based on the identified PSF using anisotropic regularization. The main difficulty in blind image restoration is insufficient information, which demands full utilization of priori knowledge of image itself and imaging system. This algorithm utilizes the piecewise smoothness of both the image and the PSF, and it simultaneously makes use of the concept of anisotropic diffusion, which carries out space adaptive regularization according to the orientations of the image and the PSF. This new method's efficiency is demonstrated by numerically blurred images. It can get better restoration images than space adaptive regularization(SAR) method, and converge faster than space adaptive anisotropic regularization(SAAR) method
%K Blind image restoration
%K Priori blur identification
%K Anisotropic diffusion<br>图象盲复原
%K 模糊先验辨识
%K 各向异性扩散
%K 图象处理
%K 空间自适应正则化
%K 算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=1F0F5ED29E03E820&yid=C3ACC247184A22C1&vid=DF92D298D3FF1E6E&iid=E158A972A605785F&sid=35E8A259891FB32F&eid=FA3423FC1AE95C4E&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=2&reference_num=7