Gong Wenlin, Han Shensheng
Key Laboratory for Quantum Optics and Center for Cold Atom Physics of CAS, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China.
J Opt Soc Am A Opt Image Sci Vis. 2012 Aug 1;29(8):1571-9. doi: 10.1364/JOSAA.29.001571.
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.
通常，标准鬼成像方案的测试探测器是桶探测器；在这里，我们提出的基于稀疏约束的多输入鬼成像（MI-GISC）方案中的测试探测器由一些稀疏阵列单像素探测器表征，并且还考虑了物平面和测试探测平面之间的传播过程。将鬼成像与目标的稀疏约束相结合，研究了MI-GISC的理论和重建方法。从理论上研究了MI-GISC与压缩鬼成像（CGI）之间的特性和差异，并通过数值模拟进行了验证。MI-GISC可应用于接收数值孔径较小的远程成像系统，提高目标重建质量。
