%0 Journal Article
%T Embedding Intrinsic Mode Function into Anisotropic Diffusion Equation for Image Denoising<br>嵌入固有模态函数的各向异性扩散方程用于图像降噪
%A Dai Fang
%A Xue Jian-ru
%A Zheng Nan-ning
%A <br>戴芳
%A 薛建儒
%A 郑南宁
%J 电子与信息学报
%D 2008
%I 
%X In this paper, an image denoising model which embeds intrinsic mode function into Perona-Malik model is proposed. Firstly, the image is decomposed into Intrinsic Mode Functions (IMFs) by using empirical mode decomposition technique; each of IMFs captures the feature information under different scales. Secondly, the first and second IMFs are embedded into Perona-Malik model. Experimental results indicate that this method is more efficient than Perona-Malik model in removing Gaussian noise. Moreover, this method can remove salt and pepper noise.
%K Intrinsic mode function
%K Perona-Malik model
%K Empirical mode decomposition
%K Image denoising
%K Anisotropic diffusion<br>固有模态函数
%K Perona-Malik模型
%K 经验模态分解
%K 图像降噪
%K 各向异性扩散
%K 模态函数
%K 异性扩散方程
%K 图像降噪
%K Image
%K Denoising
%K Diffusion
%K Equation
%K Anisotropic
%K Intrinsic
%K Mode
%K Function
%K 椒盐噪声
%K 高斯噪声
%K 改进
%K 模型
%K 高频信息
%K 代表
%K 分量
%K 频率属性
%K 经验模态分解技术
%K 利用
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=D44B87C0146BE1C12F39FDB8ED0AAB30&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=38B194292C032A66&sid=4ECB3941871FD391&eid=F9A6B6F259CE5121&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=9