%0 Journal Article
%T An Image Denoising Algorithm Using Adaptive Multiscale Products Thresholding<br>一种自适应多尺度积阈值的图像去噪算法
%A Zhang Wen-ge
%A Liu Fang
%A Gao Xin-bo
%A Jiao Li-cheng
%A <br>张文革
%A 刘芳
%A 高新波
%A 焦李成
%J 电子与信息学报
%D 2009
%I 
%X An adaptive thresholding algorithm for natural image denoising is proposed in this paper, which is based on Stationary Wavelet Transform (SWT) and multiscale products. Different from traditional thresholding denoising algorithm, this threshold is imposed on multiscale products instead of imposed on wavelet coefficients directly. The characteristics of multiscale products of noisy image in SWT domain are analyzed, and an adaptive threshold estimator is proposed. The multiscale products intensify the important structure information of images and weaken the noise, and reach the result of both effective denoising and preserving the edges and details of image simultaneously. Experimental results show that the visual effect and the performance index of proposed algorithm outperform the adaptive multiscale products threshold denoising in dyadic wavelet domain.
%K Image processing
%K Adaptive filtering
%K Stationary Wavelet Transform (SWT)
%K Multiscale products thresholding<br>图像处理
%K 自适应滤波
%K 平稳小波变换
%K 多尺度积阈值
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=7F31BD9209742A7659664DEB5AD94A04&yid=DE12191FBD62783C&vid=4AD960B5AD2D111A&iid=5D311CA918CA9A03&sid=1B1F9B96EF7F53E5&eid=F654D651B5009E39&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=11