%0 Journal Article
%T Robust Bilateral Filter in Consistent Sub-neighborhoods<br>连续子邻域内的鲁棒双边滤波
%A XIAO Xiu-chun
%A WANG Zhang-ye
%A ZHANG Yu-nong
%A JIANG Xiao-hua
%A PENG Qun-sheng
%A <br>肖秀春
%A 王章野
%A 张雨浓
%A 姜孝华
%A 彭群生
%J 计算机科学
%D 2011
%I 
%X A robust bilateral filtering algorithm based on consistent subneighborhoods was presented. Firstly, employ adaptive region growing method to split local neighborhood of the seed pixel into consistent sub-neighborhoods. Then,within one of the sulrneighborhoods, smooth the value of seed pixel by using improved bilateral filter algorithm. To enhance the robust performance, by following the definition of non-local means filtering, define kernel function of this filter based on geometric closeness and local neighborhood window similarity. Because this algorithm combines both the advantages of bilateral filter and non-local means filter, and also denoises within consistent sulrneighborhoods, it can gain a more reasonable image effect. Simulation experiments demonstrate that the presented algorithm can remove noise effectively, and simultaneously preserve detailed feature of the image.
%K Image denoising
%K Bilateral filtering
%K Non-local means filtering
%K Sukrneighborhoods<br>图像去噪，双边滤波，非局域均值滤波，子邻域
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=BB1E37C0F5A75E1F36526456B7DFC13D&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=38B194292C032A66&sid=7979125BBE749348&eid=B4E8EA49DAAEB84F&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=11