%0 Journal Article
%T A Close-to-Optimal Image Restoration Technique Based on Regularization Method<br>一种基于正则化方法的准最佳图像复原技术
%A ZENG San-You
%A KANG Li-Shan
%A DING Li-Xin
%A HUANG Yuan-Jiang
%A <br>曾三友
%A 康立山
%A 丁立新
%A 黄元江
%J 软件学报
%D 2003
%I 
%X A technique based on regularization method and restores image to close-to-optimal is proposed in this paper. The less the energy of the regularized residue, the better the image restoration. Based on this idea, wavelet transform is employed to choose regularization operator qualitatively, and stochastic theory is used to calculate the expectation of the energy, by minimizing the expectation to determine regularization parameter. Qualitative analysis concludes that the regularization operator should be low-stop and high-pass, and the experimental results show that the performances of this method are better than the traditional methods and yields steadily close-to-optimal restoration.
%K regularization method
%K image restoration
%K wavelet transform<br>正则化方法
%K 图像恢复
%K 小波变换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=33166D8053F6B610&yid=D43C4A19B2EE3C0A&vid=F3583C8E78166B9E&iid=38B194292C032A66&sid=128B7AEF80A42C95&eid=A7379F6713A46835&journal_id=1000-9825&journal_name=软件学报&referenced_num=8&reference_num=9