Scalar-matrix-structured ghost imaging

被引：28

作者：

Yang, Chao ^{[1
]}

Wang, Chenglong ^{[2
,3
]}

Guan, Jian ^{[1
]}

Zhang, Chi ^{[1
]}

Guo, Shuxu ^{[1
]}

Gong, Wenlin ^{[2
,3
]}

Gao, Fengli ^{[1
]}

机构：

[1] Jilin Univ, Coll Elect Sci & Engn, State Key Lab Integrated Optoelect, Changchun 130012, Peoples R China

[2] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Key Lab Quantum Opt, Shanghai 201800, Peoples R China

[3] Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Ctr Cold Atom Phys, Shanghai 201800, Peoples R China

来源：

PHOTONICS RESEARCH | 2016年 / 4卷 / 06期

基金：

中国国家自然科学基金;

关键词：

SPARSITY CONSTRAINT; PSEUDO-INVERSE; LIGHT;

D O I：

10.1364/PRJ.4.000281

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The features of the characteristic matrix used in linear intensity correlation reconstruction methods are directly related to the quality of ghost imaging. In order to suppress the noise caused by the off-diagonal elements in the characteristic matrix, we propose a reconstruction method for ghost imaging called scalar-matrix-structured ghost imaging (SMGI). The characteristic matrix is made to approximate a scalar matrix by modifying the measurement matrix. Experimental results show that SMGI improves the peak signal-to-noise ratio of the object reconstruction significantly compared with differential ghost imaging, even in the case of a nonzero two-arm longitudinal difference, which is a promising result for practical applications. (C) 2016 Chinese Laser Press

引用

页码：281 / 285

页数：5

共 50 条

[21] Ghost imaging based on asymmetric learning
Bian, Tong
Dai, Yumeng
Hu, Jiale
Zheng, Zhiyuan
Gao, Lu
APPLIED OPTICS, 2020, 59 (30) : 9548 - 9552
[22] Ghost imaging with shaped incoherent sources
Luo, Chunling
Cheng, Jing
OPTICS LETTERS, 2013, 38 (24) : 5381 - 5384
[23] Singular value decomposition ghost imaging
Zhang, Xue
Meng, Xiangfeng
Yang, Xiulun
Wang, Yurong
Yin, Yongkai
Li, Xianye
Peng, Xiang
He, Wenqi
Dong, Guoyan
Chen, Hongyi
OPTICS EXPRESS, 2018, 26 (10): : 12948 - 12958
[24] Bipolar compressive ghost imaging method to improve imaging quality
Yu, Zhan
Liu, Yang
Bai, Xing
Chen, Xingyu
Wang, Yujie
Li, Xinjia
Sun, Mingze
Zhou, Xin
OPTICS EXPRESS, 2023, 31 (02) : 3390 - 3400
[25] Reconstruction Algorithms for Ghost Imaging and Single-Pixel Imaging
Sun Mingjie
Yan Songming
Wang Siyuan
LASER & OPTOELECTRONICS PROGRESS, 2022, 59 (02)
[26] Preventing forgery attacks in computational ghost imaging or disabling ghost imaging in a "spatiotemporal" scattering medium with weighted multiplicative signals
Ye, Zhiyuan
Huang, Tianyu
Pan, Jingyu
Zhang, Tiantian
Cui, Yi
Wang, Hai-Bo
Xiong, Jun
APPLIED OPTICS, 2021, 60 (05) : 1092 - 1098
[27] Non-diffractive computational ghost imaging
Phillips, D. B.
He, Ruiqing
Chen, Qian
Gibson, G. M.
Padgett, M. J.
OPTICS EXPRESS, 2016, 24 (13): : 14172 - 14182
[28] Quantum ghost imaging with improved diffraction limit
Balakin, Dmitriy A.
Belinsky, Alexander, V
QUANTUM INFORMATION PROCESSING, 2022, 21 (07)
[29] Ghost imaging, development, and recent advances [Invited]
Li, Peiming
Chen, Xiaojin
Qiu, Xiaodong
Chen, Binglin
Chen, Lixiang
Sun, Baoqing
CHINESE OPTICS LETTERS, 2024, 22 (11)
[30] Principle of subtraction ghost imaging in scattering medium
Fu, Qin
Bai, Yanfeng
Tan, Wei
Huang, Xianwei
Nan, Suqin
Fu, Xiquan
CHINESE PHYSICS B, 2023, 32 (06)

← 1 2 3 4 5 →