Imaging a periodic moving/state-changed object with Hadamard-based computational ghost imaging

doi:10.1088/1674-1056/ac6498

中国物理B ›› 2022, Vol. 31 ›› Issue (8): 84201-084201.doi: 10.1088/1674-1056/ac6498

Imaging a periodic moving/state-changed object with Hadamard-based computational ghost imaging

Hui Guo(郭辉)^1,2, Le Wang(王乐)¹, and Sheng-Mei Zhao(赵生妹)^1,†

1 Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
2 College of Information Engineering, Fuyang Normal University, Fuyang 236037, China

收稿日期:2022-01-26 修回日期:2022-03-18 接受日期:2022-04-06 出版日期:2022-07-18 发布日期:2022-07-23
通讯作者: Sheng-Mei Zhao E-mail:zhaosm@njupt.edu.cn
基金资助:
Project supported by the National Natural Science Foundation of China (Grant Nos. 61871234 and 62001249), the University Talent Project of Anhui Province, China (Grant No. gxyq2020102), and the Scientific Research Project of College of Information Engineering, Fuyang Normal University (Grant No. FXG2021ZZ02).

Imaging a periodic moving/state-changed object with Hadamard-based computational ghost imaging

Hui Guo(郭辉)^1,2, Le Wang(王乐)¹, and Sheng-Mei Zhao(赵生妹)^1,†

1 Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
2 College of Information Engineering, Fuyang Normal University, Fuyang 236037, China

Received:2022-01-26 Revised:2022-03-18 Accepted:2022-04-06 Online:2022-07-18 Published:2022-07-23
Contact: Sheng-Mei Zhao E-mail:zhaosm@njupt.edu.cn
Supported by:
Project supported by the National Natural Science Foundation of China (Grant Nos. 61871234 and 62001249), the University Talent Project of Anhui Province, China (Grant No. gxyq2020102), and the Scientific Research Project of College of Information Engineering, Fuyang Normal University (Grant No. FXG2021ZZ02).

摘要/Abstract

摘要： We propose a method for imaging a periodic moving/state-changed object based on computational ghost imaging with Hadamard speckle patterns and a slow bucket detector, named as PO-HCGI. In the scheme, speckle patterns are produced from a part of each row of a Hadamard matrix. Then, in each cycle, multiple speckle patterns are projected onto the periodic moving/state-changed object, and a bucket detector with a slow sampling rate records the total intensities reflected from the object as one measurement. With a series of measurements, the frames of the moving/state-changed object can be obtained directly by the second-order correlation function based on the Hadamard matrix and the corresponding bucket detector measurement results. The experimental and simulation results demonstrate the validity of the PO-HCGI. To the best of our knowledge, PO-HCGI is the first scheme that can image a fast periodic moving/state-changed object by computational ghost imaging with a slow bucket detector.

关键词: ghost imaging, periodic moving object, periodic state-changed object, Hadamard matrix

Abstract: We propose a method for imaging a periodic moving/state-changed object based on computational ghost imaging with Hadamard speckle patterns and a slow bucket detector, named as PO-HCGI. In the scheme, speckle patterns are produced from a part of each row of a Hadamard matrix. Then, in each cycle, multiple speckle patterns are projected onto the periodic moving/state-changed object, and a bucket detector with a slow sampling rate records the total intensities reflected from the object as one measurement. With a series of measurements, the frames of the moving/state-changed object can be obtained directly by the second-order correlation function based on the Hadamard matrix and the corresponding bucket detector measurement results. The experimental and simulation results demonstrate the validity of the PO-HCGI. To the best of our knowledge, PO-HCGI is the first scheme that can image a fast periodic moving/state-changed object by computational ghost imaging with a slow bucket detector.

Key words: ghost imaging, periodic moving object, periodic state-changed object, Hadamard matrix

中图分类号: (Image forming and processing)

42.30.Va

42.30.-d (Imaging and optical processing)

Hui Guo(郭辉), Le Wang(王乐), and Sheng-Mei Zhao(赵生妹). Imaging a periodic moving/state-changed object with Hadamard-based computational ghost imaging[J]. 中国物理B, 2022, 31(8): 84201-084201.

Hui Guo(郭辉), Le Wang(王乐), and Sheng-Mei Zhao(赵生妹). Imaging a periodic moving/state-changed object with Hadamard-based computational ghost imaging[J]. Chin. Phys. B, 2022, 31(8): 84201-084201.

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Imaging a periodic moving/state-changed object with Hadamard-based computational ghost imaging

Imaging a periodic moving/state-changed object with Hadamard-based computational ghost imaging

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