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. |
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