Compressed sensing for active non-line-of-sight imaging

被引：62

作者：

Ye, Jun-Tian ^{[1
,2
,3
,4
]}

Huang, Xin ^{[1
,2
,3
,4
]}

Li, Zheng-Ping ^{[1
,2
,3
,4
]}

Xu, Feihu ^{[1
,2
,3
,4
]}

机构：

[1] Univ Sci & Technol China, Hefei Natl Lab Phys Sci Microscale, Hefei 230026, Peoples R China

[2] Univ Sci & Technol China, Dept Modern Phys, Hefei 230026, Peoples R China

[3] Univ Sci & Technol China, CAS Ctr Excellence Quantum Informat & Quantum Phy, Shanghai Branch, Shanghai 201315, Peoples R China

[4] Shanghai Res Ctr Quantum Sci, Shanghai 201315, Peoples R China

来源：

OPTICS EXPRESS | 2021年 / 29卷 / 02期

基金：

中国国家自然科学基金;

关键词：

REAL-TIME; OCCLUSION; CORNERS; LAYERS;

D O I：

10.1364/OE.413774

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Non-line-of-sight (NLOS) imaging techniques have the ability to look around corners, which is of growing interest for diverse applications. We explore compressed sensing in active NLOS imaging and show that compressed sensing can greatly reduce the required number of scanning points without the compromise of the imaging quality. Particularly, we perform the analysis for both confocal NLOS imaging and active occlusion-based periscopy. In experiment, we demonstrate confocal NLOS imaging with only 5 x 5 scanning points for reconstructing a three-dimensional hidden image which has 64 x 64 spatial resolution. The results show that compressed sensing can reduce the scanning points and the total capture time, while keeping the imaging quality. This will be desirable for high speed NLOS applications. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

引用

页码：1749 / 1763

页数：15

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