Reconstruction algorithm for cross-waveband optical computing imaging

doi:10.1088/1674-1056/ad6ccc

中国物理B ›› 2024, Vol. 33 ›› Issue (10): 104203-104203.doi: 10.1088/1674-1056/ad6ccc

Reconstruction algorithm for cross-waveband optical computing imaging

Jin-Tao Xie(谢锦涛)^1,2, Shu-Hang Bie(别书航)^1,2, Ming-Fei Li(李明飞)^1,2,†, Yuan-Jin Yu(余远金)³, Yi-Fei Li(李毅飞)¹, Jin-Guang Wang(王进光)¹, Bao-Gang Quan(全保刚)^1,2, and Ling-An Wu(吴令安)^1,2,‡

1 Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China;
2 School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
3 School of Automation, Beijing Institute of Technology, Beijing 100081, China

收稿日期:2024-06-30 修回日期:2024-07-31 接受日期:2024-08-08 出版日期:2024-10-15 发布日期:2024-10-15
通讯作者: Ming-Fei Li, Ling-An Wu E-mail:mf_li@iphy.ac.cn;wula@iphy.ac.cn

Reconstruction algorithm for cross-waveband optical computing imaging

1 Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China;
2 School of Physical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China;
3 School of Automation, Beijing Institute of Technology, Beijing 100081, China

Received:2024-06-30 Revised:2024-07-31 Accepted:2024-08-08 Online:2024-10-15 Published:2024-10-15
Contact: Ming-Fei Li, Ling-An Wu E-mail:mf_li@iphy.ac.cn;wula@iphy.ac.cn

摘要/Abstract

摘要： In a single-pixel fast imaging setup, the data collected by the single-pixel detector needs to be processed by a computer, but the speed of the latter will affect the image reconstruction time. Here we propose two kinds of setups which are able to transform non-visible into visible light imaging, wherein their computing process is replaced by a camera integration mode. The image captured by the camera has a low contrast, so here we present an algorithm that can realize a high quality image in near-infrared to visible cross-waveband imaging. The scheme is verified both by simulation and in actual experiments. The setups demonstrate the great potential for single-pixel imaging and high-speed cross-waveband imaging for future practical applications.

关键词: optical computing imaging, single-pixel imaging

Abstract: In a single-pixel fast imaging setup, the data collected by the single-pixel detector needs to be processed by a computer, but the speed of the latter will affect the image reconstruction time. Here we propose two kinds of setups which are able to transform non-visible into visible light imaging, wherein their computing process is replaced by a camera integration mode. The image captured by the camera has a low contrast, so here we present an algorithm that can realize a high quality image in near-infrared to visible cross-waveband imaging. The scheme is verified both by simulation and in actual experiments. The setups demonstrate the great potential for single-pixel imaging and high-speed cross-waveband imaging for future practical applications.

Key words: optical computing imaging, single-pixel imaging

中图分类号: (Imaging and optical processing)

42.30.-d

Jin-Tao Xie(谢锦涛), Shu-Hang Bie(别书航), Ming-Fei Li(李明飞), Yuan-Jin Yu(余远金), Yi-Fei Li(李毅飞), Jin-Guang Wang(王进光), Bao-Gang Quan(全保刚), and Ling-An Wu(吴令安). Reconstruction algorithm for cross-waveband optical computing imaging[J]. 中国物理B, 2024, 33(10): 104203-104203.

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Reconstruction algorithm for cross-waveband optical computing imaging

Reconstruction algorithm for cross-waveband optical computing imaging

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