Application of multi-correlation-scale measurement matrices in ghost imaging via sparsity constraints

被引：47

作者：

Chen, Mingliang ^{[1
]}

Li, Enrong ^{[1
]}

Han, Shensheng ^{[1
]}

机构：

[1] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Ctr Cold Atom Phys CAS, Key Lab Quantum Opt, Shanghai 201800, Peoples R China

来源：

APPLIED OPTICS | 2014年 / 53卷 / 13期

关键词：

Importance sampling;

D O I：

10.1364/AO.53.002924

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Sampling and reconstruction techniques are of special interest and importance in ghost imaging. Up to now, the transverse correlation scale of measurement matrices are usually constant. This paper explores a new possibility of constructing highly efficient measurement matrices with multi-correlation scales. Comparisons between the simulational and experimental results show that the multi-correlation-scale measurement matrices are highly efficient and accurate in sampling and image reconstruction and have a better antinoise ability than the existing constant-correlation-scale measurement matrices. (C) 2014 Optical Society of America

引用

页码：2924 / 2928

页数：5

共 18 条

[1] Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information [J].