%0 Journal Article
%T Image Denosing Based on Wavelet Regularity and Bayesian Regulation<br>基于小波域正则化和贝叶斯规则的图像恢复算法
%A LI Zhao-hui
%A CHEN Ming
%A <br>李朝晖
%A 陈明
%J 计算机应用研究
%D 2005
%I 
%X This work puts forward a new algorithm that the wavelet transformation regularity for image restoration connects with Bayesian statistic modeling, as to make an image denosing. A regularized image restoration is the optimization for some conditional constraint, and the selection of wavelet coefficients based Bayesian statistic is on the image random field view. We could dialectically give the processing about choices of regularity coefficients, operators and the calculation of distributed prior-models according to the two former conditions.
%K Wavelet-domain
%K Regularity
%K Markov Random Field
%K Bayesian Regulation<br>小波域
%K 正则化
%K 马尔可夫随机场
%K 贝叶斯规则
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=DB065777E12DDF2E&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=DF92D298D3FF1E6E&sid=0584DB487B4581F4&eid=5BC9492E1D772407&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=6