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Single-Pixel Imaging for Partially Occluded Objects
被引:0
|作者:
Wu, Jingjing
[1
]
Hu, Lifa
[1
]
Wang, Jicheng
[1
]
机构:
[1] Jiangnan Univ, Sch Sci, Wuxi 214122, Peoples R China
来源:
基金:
中国国家自然科学基金;
关键词:
Image reconstruction techniques;
occluded object imaging;
single-pixel imaging;
RECOGNITION;
D O I:
10.1109/JPHOT.2023.3281820
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
In some complex scene, such as military reconnaissance and other fields, the target object may be partially occluded by some opaque obstacles, which increase the difficulty to obtain the complete object image. In traditional optical imaging system, the lenslet array or the reference beam and special algorithms are usually needed to solve this problem, which increase the complexity of the system. As a computational optical imaging technology, the problem of single-pixel imaging (SPI) for an occluded object has not been researched yet as we know. Here we propose an SPI system to recover the occluded object image. Firstly, the images of object and occlusion from different perspectives are obtained by detecting the light field at different positions. Secondly, the limited conditions of the system parameters are derived by using geometric optics theory to ensure complete imaging. Thirdly, the feasibility of the scheme and the correctness of the limited conditions are verified by experiments. The results in this article can promote the application of SPI technology in many complex practices.
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