High-quality quantum-imaging algorithm and experiment based on compressive sensing

被引：46
|
作者：
Liu Jiying [1 ]
Zhu Jubo [1 ,2 ]
Lu Chuan [2 ]
Huang Shisheng [1 ]
机构：
[1] Natl Univ Def Technol, Coll Sci, Dept Syst Sci & Math, Changsha 410073, Hunan, Peoples R China
[2] Natl Univ Def Technol, Coll Sci, Dept Phys, Changsha 410073, Hunan, Peoples R China
来源：
OPTICS LETTERS | 2010年 / 35卷 / 08期
关键词：
SIGNAL RECOVERY; INTERFERENCE; LIGHT;
D O I：
10.1364/OL.35.001206
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Quantum imaging (QI) has some unique advantages, such as nonlocal imaging and enhanced space resolution. However, the quality of the reconstructed images and the time of data acquisition leave much to be desired. Based on the framework of compressive sensing, we propose an optimization criterion for high-quality QI whereby total variation restriction is specifically utilized for noise suppression. The corresponding reported algorithm uses a combination of a greedy strategy and the interactive reweight least-squares method. The simulation and the actual imaging experiment both show a significant improvement of the proposed algorithm the over previous imaging method. (C) 2010 Optical Society of America
引用
收藏
页码：1206 / 1208
页数：3
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