%0 Journal Article
%T New image restoration algorithm based on Bayesian hybrid wavelet transform<br>基于贝叶斯估计的杂交小波图像降噪新算法
%A CHEN Li-ping
%A YANG Fu-zeng
%A TIAN Yan-na
%A <br>陈丽萍
%A 杨福增
%A 田艳娜
%J 计算机应用研究
%D 2012
%I 
%X In order to improve the drawback of the existing image denoising algorithms which was easily to lose detail features and low peak signal-to-noise ratio PSNR, inspired by the cross breeding and learned the idea of generic algorithm, this paper proposed an image denoising method based on hybrid Bayesian wavelet transform. This algorithm took the image denoised by Bayesian wavelet threshold as male parent, and image denoised by Wiener filter as female parent to hybridize and mutate, then offspring could be generated. The offspring which meet the best standards would be decoded to be the optimal solution, and restored to be image as the best result of the algorithm. The denoised image using proposed method had much higher PSNR and better visual quality than conventional methods. The result shows that the proposed method can not only denoise effectively, but also reserve the detail features such as edge.
%K Bayesian estimation
%K hybrid wavelet algorithm
%K image denoising
%K genetic algorithm<br>贝叶斯估计
%K 杂交小波算法
%K 图像去噪
%K 遗传算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=22653CDAF59BBDC1FD7CC5C2B3F65600&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=9CF7A0430CBB2DFD&sid=2122C539A0BA317A&eid=E0B17D28B6991BBF&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=14