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Home > Archive>Volume 42, Issue 1, 2023 >61-71. DOI:10.11972/j.issn.1001-9014.2023.01.009
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Multiblock compressed sensing imaging in real time
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Affiliation:

1.Key Laboratory of Electronics and Information Technology for Space System， National Space Science Center， Chinese Academy of Sciences， Beijing 100190， China;2.Center for Quantum Information Sciences and Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements (MOE)， School of Physics， Beijing Institute of Technology， Beijing 100081， China;3.Laboratory of Satellite Mission Operation， National Space Science Center， Chinese Academy of Sciences， Beijing 100190， China;4.University of Chinese Academy of Sciences， Beijing 100049， China;5.Beijing Academy of Quantum Information Sciences， Beijing 100081， China

Clc Number:

TN215

Fund Project:

Supported by National Key Research and Development Program of China （2018YFB0504302）； and the Youth Innovation Promotion Association of the Chinese Academy of Sciences （2019154）.

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    Abstract:

    Imaging sensors in medium and long-wave infrared spectrum are extremely expensive. Therefore， for most consumers， remote high-resolution imaging and real-time display in these spectrums are still a challenge. This paper proposes an effective block compressed sensing method called Multi-block Combined Compressed Sensing （MBCS） adapting to Focal Plane Array Compressed Imaging system （FPA CI）， which combines parallel sampling and fast reconstruction. The high-resolution images can be reconstructed from low-resolution measurement results in real-time using a low-resolution infrared sensor. The results showed that， compared with the traditional CS-based super-resolution method， this method could greatly improve the quality of the reconstructed high-resolution image and achieve a higher reconstruction speed. The optical prototype architecture and construction of the MBCS measurement matrix for the reconstruction model are also discussed. This study evaluated the reconstruction performance in terms of the block size and found that the optimal block size needed to consider both speed and reconstruction quality. Furthermore， the MBCS reconstruction algorithm with GPU acceleration was implemented to improve the image reconstruction speed of the highly parallel image system. In the experiment， the optical system and the strategy of rapid imaging and reconstruction were verified via simulation and optical experiments， which showed that the imaging speed of 512×512 resolution could reach 5 Hz.

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LI Hu, LIU Xue-Feng, YAO Xu-Ri, LIU Fan, DOU Shen-Cheng, HU Tai, ZHAI Guang-Jie. Multiblock compressed sensing imaging in real time[J]. Journal of Infrared and Millimeter Waves,2023,42(1):61~71

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History
  • Received:October 14,2021
  • Revised:January 03,2023
  • Adopted:November 26,2021
  • Online: January 03,2023
  • Published: February 25,2023
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