%0 Journal Article
%T Digital Image Inpainting with Radial Basis Functions<br>基于径向基函数的图像修复技术
%A ZHOU Ting-fang
%A TANG Feng
%A WANG Jin
%A WANG Zhang-ye
%A PENG Qun-sheng
%A ZHOU Ting-fang
%A TANG Feng
%A WANG Jin
%A WANG Zhang-ye
%A PENG Qun-sheng
%A ZHOU Ting-fang
%A TANG Feng
%A WANG Jin
%A WANG Zhang-ye
%A PENG Qun-sheng
%A ZHOU Ting-fang
%A TANG Feng
%A WANG Jin
%A WANG Zhang-ye
%A PENG Qun-sheng
%A ZHOU Ting-fang
%A TANG Feng
%A WANG Jin
%A WANG Zhang-ye
%A PENG Qun-sheng
%A <br>周廷方
%A 汤锋
%A 王进
%A 王章野
%A 彭群生
%J 中国图象图形学报
%D 2004
%I 
%X The goal of digital image inpainting is to restore damaged regions or remove objects in the image. This paper presents a novel image inpainting algorithm based on RBF (radial basis functions). After the user selects the regions to be inpainted, the algorithm automatically detects contours of the mask and finds appropriate regions to construct the RBF. Color of the 2D image is treated as height field over a regularly sampled grid, the 2D image inpainting problem is naturally converted to 3D implicit surface reconstruction problem, which RBF has been proved to be a good solver. With RBF resampling,the algorithm can nicely fix the damaged image or remove specific objects. Experiments show that our algorithm can fix a large variety of images effectively and robustly.
%K image inpainting
%K radial basis functions
%K image reconstruction<br>图像修复
%K 径向基函数
%K 算法
%K 三维散乱点
%K 用户交互
%K 曲面重建
%K 二维图像
%K 法能
%K 处理
%K 实验
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=637FB888A717FD1F&yid=D0E58B75BFD8E51C&vid=9CF7A0430CBB2DFD&iid=F3090AE9B60B7ED1&sid=C9D6A9952042973F&eid=5609C67D14B24C790B6196EE3F2A94A1&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=11&reference_num=16