%0 Journal Article
%T Textural image filtering method by hybridizing wave atomsshrinkage with bilateral filtering<br>混合波原子和双边滤波的纹理图像滤波方法
%A LIU Guo-jun
%A MA Yue-mei
%A <br>刘国军
%A 马月梅
%J 计算机应用研究
%D 2013
%I 
%X This paper proposed a novel diffusion scheme by hybridizing wave atoms thresholding for textural images. Also designed a denoising algorithm based on the relationship between solution of nonlinear diffusion equation and bilateral filtering method. Numerical experiments illustrate the good performance in comparison to the state-of-the-art denoising algorithms, such as wave atoms shrinkage method, and the bilateral filtering method, scale mixtures of Gaussians (GSM) method, non-local mean (NLM) method, by using two objective measures: peak signal-to-noise ratio (PSNR) and structural similarity (SSIM).
%K texture
%K wave atoms
%K shrinkage
%K bilateral filtering
%K nonlinear diffusion<br>纹理
%K 波原子
%K 阈值
%K 双边滤波
%K 非线性扩散
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=523711B464E4FFDF3905747587F44E3A&yid=FF7AA908D58E97FA&vid=340AC2BF8E7AB4FD&iid=38B194292C032A66&sid=72D13CE6C162BDF4&eid=D4A72ABDCEDCE1BD&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=20