%0 Journal Article
%T Improved Criminisi algorithm with the texture and edge features<br>利用纹理和边缘特征的Criminisi改进算法
%A Ren Shu
%A Tang Xianghong
%A Kang Jialun
%A <br>任澍
%A 唐向宏
%A 康佳伦
%J 中国图象图形学报
%D 2012
%I 
%X In the image inpainting process, the Criminisi algorithm easily confuses texture parts for edge parts, resulting in inpainting sequence deviation which finally influences the inpaint effect. By making full use of the characteristics of image textures and edges, we introduce a differential-factor to improve the ability of the algorithm to distinguish edge parts. At the same time, the improved algorithm uses a new search method to prevent the appearance of flaws during the image inpainting process. Experiments confirm that the improved algorithm can overcome the insufficiencies of the original algorithm such as texture extension and can better maintain linear structures. The Power Signal-to-Noise Ratio of the result compared to the original algorithm has been improved about 2 dB to 3 dB, and the results have a better visual appearance.
%K image inpainting
%K differential-factor
%K priority model
%K linear structure<br>图像修复
%K 差别因子
%K 优先权模型
%K 线性结构
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=0B63987600F2A39CE4D295E0C582C760&yid=99E9153A83D4CB11&vid=BCA2697F357F2001&iid=9CF7A0430CBB2DFD&sid=126825C4749D880D&eid=4B87E6790C4FD73D&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=10