%0 Journal Article
%T Local-structure-adapted Image Diffusion<br>局部结构自适应的图像扩散
%A WANG Zhi-Ming ZHANG Li School of Information Engineering
%A University of Science
%A Technology Beijing
%A Beijing
%A <br>王志明
%A 张丽
%J 自动化学报
%D 2009
%I 
%X A novel local-structure-adapted image diffusion algorithm is proposed. During the image diffusion, the conduction coefficient is determined not only by its gradient but also by its local structure. First, pixels are classified into three basic types, that is, isolated, image structure, and flap region, according to their local structure. Different conduction functions are defined for different pixel types to calculate their diffusion flux based on gradients. With local image structure taken into account, fine image details can be preserved while non-structured noises are eliminated quickly and efficiently. Experimental results on both synthetic and real images show that the proposed algorithm outperforms many typical image diffusion algorithms.
%K Image diffusion
%K local structure
%K image denoising
%K feature preservation<br>图像扩散
%K 局部结构
%K 图像去噪
%K 细节保留
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=DC9C392653F22A67A3EB64C5E941918E&yid=DE12191FBD62783C&vid=6209D9E8050195F5&iid=38B194292C032A66&sid=5B5B75F4854B8331&eid=1D01216AD76577EC&journal_id=0254-4156&journal_name=自动化学报&referenced_num=1&reference_num=0