两种基于同组概念滤波方法的实验研究  

Experimental Study of Two Filtering Methods Based on Peer Group

作　　者：李盈[1] 程博[1] 何国金[1] 

机构地区：[1]中国科学院对地观测与数字地球科学中心,北京100086

出　　处：《科学技术与工程》2009年第10期2638-2642,共5页Science Technology and Engineering

摘　　要：介绍了两种基于同组概念的滤波方法——PGF滤波和PGVMF滤波。PGF滤波可适用于灰度图像和彩色图像,在去除混合噪声、平滑图像的同时,很好地保护了图像的边缘信息。PGVMF适用于彩色图像,能够在去除噪声的同时增强图像边缘。实验证明,PGF滤波和PGVMF滤波与常规的滤波方法相比具有更好的去噪能力和边缘保护能力。Two filtering methods based on the concept of peer group--PGF and PGVMF are presented. The PGF approach is used as an efficient way of mixed noise filtering and image smoothing for color or gray image, while the edges and details in the image can be protected. PGVMF which applies to color image will be able to remove noise and enhance the image edge simultaneously. Experiments prove that both PGF and PGVMF have better ability of noise removing and edge protecting compared to conventional filtering methods.

关 键 词：噪声去除 PGF滤波 PGVMF滤波 峰值信噪比 边缘保护 

分 类 号：TP391.74[自动化与计算机技术—计算机应用技术]