%0 Journal Article
%T Research on Tikhonov regularization of multiframe images reconstruction algorithm<br>多帧图像的Tikhonov正则化重建算法研究
%A SHANG Jun-guo
%A JIAO Bin-liang
%A <br>商俊国
%A 焦斌亮
%J 计算机应用研究
%D 2011
%I 
%X This paper introduced theories and characteristics of the Tikhonov regularized super-resolution reconstruction algorithm. Based on the customary regularization technology and the complementary information of the multiframe image sequences, presented a new method for image restoration. By embedding regularization in similarity term of the super-resolution reconstruction algorithm, improved the rectify efficiency of regularization term, and improved the convergence by conjugate gradient method, saved the time of image restoration. The result of experiment and computer simulations show that the performance of this algorithm is better than the traditional method. It is fast, and reduces fuzzy edge of the images.
%K super-resolution
%K image reconstruction
%K Tikhonov regularization
%K rectify efficiency<br>超分辨率
%K 图像重建
%K Tikhonov正则化
%K 校正效率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=A0A51308E762BE898D7698B4C0ED2B68&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=0B39A22176CE99FB&sid=A1BB529A18D3A83E&eid=872F6C582A30BA57&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13