Multiple-input ghost imaging via sparsity constraints

被引：21
作者：
Gong, Wenlin [1 ,2 ]
Han, Shensheng [1 ,2 ]
机构：
[1] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Key Lab Quantum Opt, Shanghai 201800, Peoples R China
[2] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Ctr Cold Atom Phys CAS, Shanghai 201800, Peoples R China
来源：
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION | 2012年 / 29卷 / 08期
关键词：
THERMAL LIGHT;
D O I：
10.1364/JOSAA.29.001571
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Usually the test detector of a standard ghost imaging scheme is a bucket detector; here the test detector in the scheme of multiple-input ghost imaging via sparsity constraints (MI-GISC) we proposed is characterized by some sparse-array single-pixel detectors, and the propagation process between the object plane and the test detection plane is also considered. Combining ghost imaging with the target's sparsity constraints, the theory and reconstruction of MI-GISC are investigated. The property and differences between MI-GISC and compressive ghost imaging (CGI) are studied theoretically and backed up by numerical simulations. MI-GISC can be applied in a remote imaging system with a small receiving numerical aperture, improving the reconstruction's quality of the target. (C) 2012 Optical Society of America
引用
收藏
页码：1571 / 1579
页数：9
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