Morphology separation in ghost imaging via sparsity constraint

被引：9
作者：
Xu, Xuyang
Li, Enrong [1 ]
Yu, Hong
Gong, Wenlin
Han, Shensheng
机构：
[1] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Key Lab Quantum Opt, Shanghai 201800, Peoples R China
来源：
OPTICS EXPRESS | 2014年 / 22卷 / 12期
关键词：
THERMAL LIGHT; SUPERRESOLUTION; TRANSFORMS;
D O I：
10.1364/OE.22.014375
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
The separation of morphology components in ghost imaging via sparsity constraint is investigated by adapting the morphology component analysis technique based on the fact that different morphology components can be sparsely expressed in different basis. The successful separation of reconstructed image plays an important role in the ability to identify it, analyze it, enhance it and more. This approach is first studied with numerical simulations and then verified with both table-top and outdoor experimental data. Results show that it can not only separate different morphology components but also improve the quality of the reconstructed image. (C) 2014 Optical Society of America
引用
收藏
页码：14375 / 14381
页数：7
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