Image Inpainting Based on Image Segmentation

摘要：

Removing a target object and filling the missing regions of an image is the key technology generally applied to image restoration. In this paper，we propose a novel algorithm for exemplar-based image inpainting. By using segmentation-based searching strategy and redefined priority function, this algorithm can solve the problems that would occur in large areas filling. Experimental results show that this improved method can efficiently handle different cases, especially the large regions in complex background.

关键词： inpainting image segmentation priority

作者: Ru Zhang Qiujiang Chen Zhenjiang Miao Zhen Tang

作者单位: Institution of Information Science, Beijing Jiaotong University, Beijing 100044, P.R.China Computer Software & Theory, Renmin University of China, Beijing 100872, P.R.China

会议类型: 国际会议

会议名称: 2010 The IET 3rd International Conference on Wireless,Mobile & Multimedia Networks(第三届IET无线移动及多媒体网络国际会议 ICWMMN 2010)

会议地点: 北京

会议语种:英文

页码: 315-318

在线出版日期: 2010-09-26（万方平台首次上网日期，不代表论文的发表时间）