%0 Journal Article
%T COSM image restoration based on high-dimensional space geometry theory<br>结合高维几何空间理论的COSM图像复原算法*
%A MENG Lei
%A HE Xiao-hai
%A TAO Qing-chuan
%A <br>孟雷
%A 何小海
%A 陶青川
%J 计算机应用研究
%D 2009
%I 
%X To recover blurred image but the PSF of the image was not known,using the method which according to homeomorphisms and the principle of homology continuity(PHC) in high-dimensional space geometry.The relation of vector and point in space could show the relation of the fuzzy image and the original image, contacting nearest-neighbor algorithm to use the method in computational optical section microscopy (COSM).The results show that the method is efficient and correct.The method is not the same as traditional method, it can be used in the restoration of blurred image broadly.
%K high-dimensional space geometry
%K PHC
%K nearest-neighbor algorithm
%K layer blur<br>高维空间
%K 同源连续性
%K 最近邻算法
%K 本层模糊
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C007B86E916818562F9B8DEDBBC2CC87&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=CA4FD0336C81A37A&sid=315A3D008C6ECFC8&eid=389106FB36CA8332&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10