• Acta Optica Sinica
  • Vol. 39, Issue 4, 0407001 (2019)
Yuye Wang1、2、3、*, Yuchen Ren1、2, Linyu Chen1、2, Changzhao Li1、2, Chao Zhang1、2, Degang Xu1、2, and Jianquan Yao1、2
Author Affiliations
  • 1 Institute of Laser and Optoelectronics, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
  • 2 Key Laboratory of Optoelectronics Information Technology, Ministry of Education, Tianjin University, Tianjin 300072, China
  • 3 Department of Neurosurgery, the First Hospital Affiliated to Army Medical University, Chongqing 400038, China
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    DOI: 10.3788/AOS201939.0407001 Cite this Article Set citation alerts
    Yuye Wang, Yuchen Ren, Linyu Chen, Changzhao Li, Chao Zhang, Degang Xu, Jianquan Yao. Terahertz Wave Wide-Beam Imaging Technology Based on Block Compressive Sensing Theory[J]. Acta Optica Sinica, 2019, 39(4): 0407001 Copy Citation Text show less
    Simulation of reconstruction of compressive sensing images. (a) Original image of phantom; (b) reconstruction time of phantom based on TVAL3 algorithm at different resolutions
    Fig. 1. Simulation of reconstruction of compressive sensing images. (a) Original image of phantom; (b) reconstruction time of phantom based on TVAL3 algorithm at different resolutions
    Comparison of imaging results. (a) Wide-beam matrix modulation sampling (PSNR is 44.83); (b) single-pixel random sampling at ideal sampling position (PSNR is 45.67); (c) single-pixel random sampling at random sampling position (PSNR is 24.55)
    Fig. 2. Comparison of imaging results. (a) Wide-beam matrix modulation sampling (PSNR is 44.83); (b) single-pixel random sampling at ideal sampling position (PSNR is 45.67); (c) single-pixel random sampling at random sampling position (PSNR is 24.55)
    Schematics of imaging system. (a) Terahertz wide-beam imaging system based on block compressive sensing theory; (b) partial signal light paths in block compressive sensing imaging system based on single-pixel random sampling
    Fig. 3. Schematics of imaging system. (a) Terahertz wide-beam imaging system based on block compressive sensing theory; (b) partial signal light paths in block compressive sensing imaging system based on single-pixel random sampling
    Imaging results of wide-beam matrix modulation sampling system under different conditions. (a)(d) Physical maps of imaging letters; (b)(e) imaging results without reference light path; (c)(f) imaging results with reference light path
    Fig. 4. Imaging results of wide-beam matrix modulation sampling system under different conditions. (a)(d) Physical maps of imaging letters; (b)(e) imaging results without reference light path; (c)(f) imaging results with reference light path
    Two imaging results of letter “H” in block compressive sensing system based on single-pixel random sampling. (a) Imaging result at first set of sampling positions; (b) imaging result at second set of sampling positions
    Fig. 5. Two imaging results of letter “H” in block compressive sensing system based on single-pixel random sampling. (a) Imaging result at first set of sampling positions; (b) imaging result at second set of sampling positions
    Two imaging results of letter “T” in block compressive sensing system based on single-pixel random sampling. (a) Imaging result at first set of sampling positions; (b) imaging result at second set of sampling positions
    Fig. 6. Two imaging results of letter “T” in block compressive sensing system based on single-pixel random sampling. (a) Imaging result at first set of sampling positions; (b) imaging result at second set of sampling positions
    Yuye Wang, Yuchen Ren, Linyu Chen, Changzhao Li, Chao Zhang, Degang Xu, Jianquan Yao. Terahertz Wave Wide-Beam Imaging Technology Based on Block Compressive Sensing Theory[J]. Acta Optica Sinica, 2019, 39(4): 0407001
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