%0 Journal Article
%T Method for filtering image contaminated with strong Gaussian noises<br>一种强高斯噪声的图像滤波方法
%A SHI Mei-hong
%A MAO Jiang-hui
%A LIANG Ying
%A LONG Shi-zhong
%A <br>石美红
%A 毛江辉
%A 梁颖
%A 龙世忠
%J 计算机应用
%D 2007
%I 
%X A new joint method for filtering image contaminated with strong Gaussian noises was presented.The pixels of an image were divided into two sets.Strong noisy pixels were located firstly through estimating changes of pixel intensity in a local region of a pixel and were removed using a modified adaptive mean filter.Weak noisy pixels were smoothed with a simplified pulse-coupled neural network(PCNN).Experimental results show that the proposed method works well with both preserving edge and smoothing range adaptively in an image,compared with some existing image filtering methods.
%K Gaussian noise
%K Pulse-Coupled Neural Network(PCNN)
%K filtering
%K preserving edge
%K adaptability<br>高斯噪声
%K 脉冲耦合神经网络
%K 滤波
%K 保护边缘
%K 自适应
%K 高斯噪声
%K 图像
%K 滤波方法
%K noises
%K Gaussian
%K strong
%K image
%K filtering
%K 适应能力
%K 边缘保护
%K 滤除噪声
%K 结果验证
%K 实验
%K 平滑
%K PCNN
%K 脉冲耦合神经网络
%K 简化
%K 均值
%K 自适应
%K 改进
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512035DC0878A4A8247&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=DF92D298D3FF1E6E&sid=E1C7AF8CF9EC4482&eid=FFC2683A1E8523F1&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=14