%0 Journal Article
%T Fuzzy Weighted Average Filter<br>模糊加权均值滤波器
%A CAI Jing
%A YANG Jin-sheng
%A DING Run-tao
%A <br>蔡靖
%A 杨晋生
%A 丁润涛
%J 中国图象图形学报
%D 2000
%I 
%X This paper mainly studied the problem of the noise suppression for images corrupted by different kinds of noises. A weighted average filter based on the fuzzy theory is presented. The algorithm first looks on the pixels in the filter window as elements of a fuzzy set, and then optimizes the membership of each element of the fuzzy set by iteration ways. In the end, the filter gets its weights of the pixels in the window from the memberships of the fuzzy set. Computer simulations show that the presented filter is not only better than average filter in the field of suppression of Gaussian noise, but also good at the suppression of impulse noise. So it has good performance to image corrupted by mixture noise.
%K Fuzzy membership function
%K Average filter
%K Median filter<br>模糊隶属度函数
%K 噪声图象
%K 加权均值滤波器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=97E42AFE221EEC3E&yid=9806D0D4EAA9BED3&vid=94C357A881DFC066&iid=CA4FD0336C81A37A&sid=286FB2D22CF8D013&eid=014B591DF029732F&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=26&reference_num=2