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Imaging of hidden object using passive mode single pixel imaging with compressive sensing
Chen, Q.; Chamoli, S. K.; Yin, P.; Wang, X.; Xu, X. P.
2018
发表期刊Laser Physics Letters
ISSN1612-2011
卷号15期号:12页码:6
摘要Hidden object imaging has always been challenging for obtaining satisfiable imaging because of the limitations caused by the reflections from the surrounding environment. The light is highly degraded after propagation and reflection from the hidden object. Single-pixel imaging (SPI) is an advanced imaging approach becoming more remarkable; applicable for acquiring spatial information in low light, high absorption and backscattering conditions. Combination of SPI and compressed sensing (CS) can efficiently tackle the key drawbacks of SPI, such as long data-acquisition time and low reconstruction resolution. In the present study, a CS based hidden object SPI system is designed. This is able to reconstruct an image without the influence of diffuse reflection from a two-dimensional (2D) target, which is placed in a corner practically concealing the objects over 10 x 10 cm of hidden space. The reconstruction obtained by our method is desirable and can save more than half of the data-acquisition time compared to the SPI algorithm. Our contribution presents a new insight for the application of SPI and provides a guideline for researchers to improve their applications.
关键词single pixel imaging compressive sensing image reconstruction hidden object reconstruction Optics Physics
DOI10.1088/1612-202X/aae216
收录类别SCI
引用统计
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/60695
专题中国科学院长春光学精密机械与物理研究所
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Chen, Q.,Chamoli, S. K.,Yin, P.,et al. Imaging of hidden object using passive mode single pixel imaging with compressive sensing[J]. Laser Physics Letters,2018,15(12):6.
APA Chen, Q.,Chamoli, S. K.,Yin, P.,Wang, X.,&Xu, X. P..(2018).Imaging of hidden object using passive mode single pixel imaging with compressive sensing.Laser Physics Letters,15(12),6.
MLA Chen, Q.,et al."Imaging of hidden object using passive mode single pixel imaging with compressive sensing".Laser Physics Letters 15.12(2018):6.
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