Domain-based structure-aware image inpainting

被引:1
作者
Yinwei Wei
Shiguang Liu
机构
[1] Tianjin University,School of Computer Science and Technology
[2] Tianjin University of Technology,Department of Computer Engineering, Zhonghuan Information College
[3] Tianjin Key Laboratory of Cognitive Computing and Application,undefined
来源
Signal, Image and Video Processing | 2016年 / 10卷
关键词
Image inpainting; Repair domain; Structure-aware ; Filling order;
D O I
暂无
中图分类号
学科分类号
摘要
Although image inpainting has been extensively studied in recent years, some problems in this area are still open. In particular, the structure restoration is one of the difficulties due to the incompleteness of the reconstructed structural information. The less reasonable filling order and the ignorance of local consistency of the image would also easily lead to undesired repairing results. To remedy the above problems, this paper proposed a new domain-based structural-aware image inpainting method. We specially designed a new iterative structure searching algorithm which can restore more complete and reliable structural information. The adjacent patches were connected to form a repairing domain which serves as the minimal repair unit. The introduction of the domain ensures the coherency and searching accuracy of the repairing results. Moreover, we introduced a novel repair order calculation method which can greatly reduce the influence of the error propagation in conventional methods. Various experiment results demonstrated the effectiveness of our method.
引用
收藏
页码:911 / 919
页数:8
相关论文
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