QQ客服 官方微博 反馈留言

	Highly efficient local non-texture Image inpainting based on partial differential equation
	Zhu, Chuang ; Jia, Huizhu ; Li, Meng ; Huang, Xiaofeng ; Xie, Xiaodong
	2015
英文摘要	Image inpainting has been a popular study point in recent years and a number of strategies have been developed. Partial differential equation (PDE) image inpainting approach often acts as a fundamental building block in this area. However, the high computing load limits the application of PDE-based image inpainting, especially in mobile terminal. In this paper, first an enhanced Curvature-Driven Diffusions (ECDD) model is proposed to improve the repairing performance. Then a fast local non-texture inpainting scheme is performed based on ECDD and total variation (TV) to make the computing of the PDE-based image inpainting more efficient. The experimental results show that the proposed strategy not only can repair the long disconnected objects more accurately, but also can greatly shorten the iteration time of image inpainting. ? 2014 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/CSE.2014.164
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/294722]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhu, Chuang,Jia, Huizhu,Li, Meng,et al. Highly efficient local non-texture Image inpainting based on partial differential equation. 2015-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。