Single-pixel correlated imaging with high-quality reconstruction using iterative phase retrieval algorithm

被引:59
|
作者
Sui Liansheng [1 ,2 ]
Cheng Yin [1 ]
Wang Zhanmin [1 ]
Tian Ailing [3 ]
Asundi, Anand Krishna [4 ]
机构
[1] Xian Univ Technol, Sch Comp Sci & Engn, Jinhua South Rd, Beilin Xian 710048, Peoples R China
[2] Shaanxi Key Lab Network Comp & Secur Technol, Xian 710048, Shaanxi, Peoples R China
[3] Xian Technol Univ, Shaanxi Prov Key Lab Thin Film Technol & Opt Test, Xian 710048, Shaanxi, Peoples R China
[4] Nanyang Technol Univ, Sch Mech & Aerosp Engn, Singapore 639798, Singapore
关键词
Computational imaging; Image reconstruction techniques; Image formation theory; GHOST; TRANSFORM; LIGHT;
D O I
10.1016/j.optlaseng.2018.08.001
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A single-pixel correlated imaging scheme based on iterative phase retrieval algorithm, which can encode an original object into a series of measured intensities, is proposed in this paper. Initially, a plenty of intensity patterns are derived from the Hadamard matrix with the certain order, and a pair of noisy phase profiles can be obtained by decomposing an intensity pattern via an iterative phase retrieval algorithm. When a pair of phase profiles is cascaded and sequentially embedded into two spatial light modulators in the proposed optical configuration, a measured intensity can be recorded by the bucket detector without spatial resolution. By only making the use of second-order correlation algorithm, the object with high quality can be reconstructed with measured intensities. Meanwhile, the number of recording the measured intensities can be reduced greatly in the process of imaging, which results in high efficiency. The reported approach provides an effective alternative for enriching the related research on single-pixel correlated imaging systems.
引用
收藏
页码:108 / 113
页数:6
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