%0 Journal Article
%T Image denoising method based on bidimensional empirical mode decomposition and mean filtering<br>基于二维经验模态和均值滤波的图像去噪方法
%A RANG Xiao-yong
%A YE Jun-yong
%A GUO Chun-hua
%A <br>让晓勇
%A 叶俊勇
%A 郭春华
%J 计算机应用
%D 2008
%I 
%X A new image-denoising method was proposed. Noised image was decomposed to a series of sub-band images by Bimensional Empirical Mode Decomposition (BEMD). High frequency sub-band images were denoised by mean filtering using different filter templates, and low frequency approximation image remained unchanged in this process. Then the denoised-image was obtained by composing the low frequency approximation images and the high frequency detailed images with mean filtering. Experimental result shows that the noise is effectively removed and the detail of the image is well preserved. This method has better denoising effect than single BEMD method and mean filtering method and the method combining wavelet transform with mean filtering.
%K image denoising
%K wavelet transform
%K bi-dimensional empirical mode decomposition
%K mean filtering<br>图像去噪
%K 小波变换
%K 二维经验模态
%K 均值滤波
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=E33145C7A08A93367B4CEDCC6943DDA8&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=708DD6B15D2464E8&sid=312A7B4D8C5C538C&eid=C9E0DE3ED09CB64F&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=10