Geometric distortion correction of long-range imaging containing moving objects | |
Xu, Xinggui1,2,3; Yang, Ping1; Liu, Yong2; Xian, Hao1; Xu, Bing1 | |
刊名 | Journal of Optics (United Kingdom) |
2019 | |
卷号 | 21期号:1 |
关键词 | atmospheric turbulence image reconstruction-restoration imaging through turbulent media image detection systems |
ISSN号 | 2040-8978 |
DOI | 10.1088/2040-8986/aaf191 |
文献子类 | 期刊论文 |
英文摘要 | Video sequences of long-range imaging are inevitably affected by optical turbulence, which leads to non-uniform geometric distortion and object position shifts. The restoration of this turbulence-degraded data containing moving objects is a challenging task, which essentially involves video stabilization and the detection of moving objects. In this work, a novel method is proposed for simultaneously realizing turbulence mitigation and moving objects detection. We firstly model the turbulent foreground with a specific mixture of Gaussian (MoG) distribution, which is regularized online by the low-rank subspace of the background. Then, to preserve the low-rank property of the dynamic background, we embed a transformation operator into the proposed model which makes it much more robust in the event of practical camera jitters or rotation. Finally, a simple mask strategy is used to reconstruct stable frames containing moving objects. Extensive experiments using synthetic and real-life turbulence-degraded data show that the proposed method outperforms other compared approaches in terms of both geometric distortion correction and the preservation of moving objects. © 2018 IOP Publishing Ltd. |
WOS关键词 | ATMOSPHERIC-TURBULENCE ; VIDEO ; RESTORATION |
WOS研究方向 | Optics |
语种 | 英语 |
出版者 | Institute of Physics Publishing |
WOS记录号 | WOS:000452784700001 |
内容类型 | 期刊论文 |
源URL | [http://ir.ioe.ac.cn/handle/181551/9734] |
专题 | 光电技术研究所_自适应光学技术研究室(八室) |
作者单位 | 1.Key Laboratory On Adaptive Optics, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China; 2.School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu; 610054, China; 3.University of Chinese Academy of Sciences, Beijing; 100039, China |
推荐引用方式 GB/T 7714 | Xu, Xinggui,Yang, Ping,Liu, Yong,et al. Geometric distortion correction of long-range imaging containing moving objects[J]. Journal of Optics (United Kingdom),2019,21(1). |
APA | Xu, Xinggui,Yang, Ping,Liu, Yong,Xian, Hao,&Xu, Bing.(2019).Geometric distortion correction of long-range imaging containing moving objects.Journal of Optics (United Kingdom),21(1). |
MLA | Xu, Xinggui,et al."Geometric distortion correction of long-range imaging containing moving objects".Journal of Optics (United Kingdom) 21.1(2019). |
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