• Infrared and Laser Engineering
  • Vol. 50, Issue 12, 20210717 (2021)
Rongbin She1、2, Yongle Zhu1, Wenquan Liu1、2, Yuanfu Lu1, and Guangyuan Li1
Author Affiliations
  • 1Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518000, China
  • 2Key Kaboratory of Optoelectronic Devices and System of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
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    DOI: 10.3788/IRLA20210717 Cite this Article
    Rongbin She, Yongle Zhu, Wenquan Liu, Yuanfu Lu, Guangyuan Li. Terahertz single-pixel computational imaging: Principles and applications(Invited)[J]. Infrared and Laser Engineering, 2021, 50(12): 20210717 Copy Citation Text show less
    Light path design of transmission(a) and reflection(b) and mathematical description (c) of terahertz single-pixel imaging based on modulator
    Fig. 1. Light path design of transmission(a) and reflection(b) and mathematical description (c) of terahertz single-pixel imaging based on modulator
    Schematic of the experimental setup for terahertz time-domain spectroscopy system[46]. (a) The different colors correspond to different delay-line positions, these positions correspond to different time points in Fig.(b); (b) Measured THz time-domain signal; (c) The amplitude and phase of a signal in the frequency domain
    Fig. 2. Schematic of the experimental setup for terahertz time-domain spectroscopy system[46]. (a) The different colors correspond to different delay-line positions, these positions correspond to different time points in Fig.(b); (b) Measured THz time-domain signal; (c) The amplitude and phase of a signal in the frequency domain
    Terahertz single-pixel computational imaging based on metal pattern modulator. (a) PCB modulator[50]; (b) Spinning metal disk modulator[51]
    Fig. 3. Terahertz single-pixel computational imaging based on metal pattern modulator. (a) PCB modulator[50]; (b) Spinning metal disk modulator[51]
    Schematic diagram of terahertz single-pixel imaging structure based on metasurface modulator[56]. (a) Spatial distributon of maximum differential absorption for Hadamard pattern; (b) Image reconstruction using 64 masks with each mask displayed for 22.4 ms, giving a total image acquisition time of 1.43 s; (c) Photograph of the object studied. (d) Consecutive tiles show reconstruction using 45 Hadamard masks
    Fig. 4. Schematic diagram of terahertz single-pixel imaging structure based on metasurface modulator[56]. (a) Spatial distributon of maximum differential absorption for Hadamard pattern; (b) Image reconstruction using 64 masks with each mask displayed for 22.4 ms, giving a total image acquisition time of 1.43 s; (c) Photograph of the object studied. (d) Consecutive tiles show reconstruction using 45 Hadamard masks
    (a) Schematic of terahertz single-pixel imaging system based on the passivated silicon wafer[63]; (b) Comparison of reconstruction results between conventional high-resistive silicon and passivated silicon
    Fig. 5. (a) Schematic of terahertz single-pixel imaging system based on the passivated silicon wafer[63]; (b) Comparison of reconstruction results between conventional high-resistive silicon and passivated silicon
    (a) Terahertz single-pixel imaging system and its imaging results based on nonlinear electro-optic crystals[70]; (b) Terahertz single-pixel imaging system and its imaging results based on spintronic materials[72]
    Fig. 6. (a) Terahertz single-pixel imaging system and its imaging results based on nonlinear electro-optic crystals[70]; (b) Terahertz single-pixel imaging system and its imaging results based on spintronic materials[72]
    Fourier single-pixel computational imaging for the terahertz regime [81]. (a)-(d) Fourier spectrums at different sampling rates; (e)-(h) Inverse Fourier transform terahertz image
    Fig. 7. Fourier single-pixel computational imaging for the terahertz regime [81]. (a)-(d) Fourier spectrums at different sampling rates; (e)-(h) Inverse Fourier transform terahertz image
    (a) Network architecture of deep convolutional auto-encoder[86]; (b) Design of part of optimized patterns; (c) Experimental structure and video of single-pixel imaging
    Fig. 8. (a) Network architecture of deep convolutional auto-encoder[86]; (b) Design of part of optimized patterns; (c) Experimental structure and video of single-pixel imaging
    (a) DCAN architecture [87]; (b) Qualitative and quantitative evaluation of conventional FSI and based on deep learning FSI
    Fig. 9. (a) DCAN architecture [87]; (b) Qualitative and quantitative evaluation of conventional FSI and based on deep learning FSI
    Principle schematic of terahertz single-pixel computational imaging system at standoff distances and far-field imaging results[92]
    Fig. 10. Principle schematic of terahertz single-pixel computational imaging system at standoff distances and far-field imaging results[92]
    Schematic of terahertz single-pixel computational imaging construction and image reconstructed results [94-95]. The imaging resolution is 154 μm, 100 μm and 9 μm when the intrinsic silicon thickness is (a) 400 μm, (b) 110 μm and (c) 6 μm, respectively
    Fig. 11. Schematic of terahertz single-pixel computational imaging construction and image reconstructed results [94-95]. The imaging resolution is 154 μm, 100 μm and 9 μm when the intrinsic silicon thickness is (a) 400 μm, (b) 110 μm and (c) 6 μm, respectively
    Structural schematic of time-resolved nonlinear ghost imaging and hyperspectral reconstructed results[97]
    Fig. 12. Structural schematic of time-resolved nonlinear ghost imaging and hyperspectral reconstructed results[97]
    (a) Terahertz recognition experimental setup of target; (b) Perfor- mance evaluation (confusion matrices) of the object recognition method[100]
    Fig. 13. (a) Terahertz recognition experimental setup of target; (b) Perfor- mance evaluation (confusion matrices) of the object recognition method[100]
    TypeMaterialModulation depthModulation rateReference
    注:*表示分辨率不可调谐的方法
    Metal*PCB100%-[50]
    Spinning disk100%0.5 s[51]
    Metasurface*MMAs−70 dB12 MHz[56]
    Photo-induced semiconductor Si20 dB~1.3 kHz[59]
    GOS99%-[64]
    MEHPPV99%1.26 MHz[67]
    VO2>75%-[68]
    Si-MOS15.3 dB1 GHz[69]
    Source and detector ZnTe100%1 kHz[70]
    ZnTe100%1 kHz[71]
    FM/NM100%22.4 ms[72]
    Table 1. Summary of terahertz wave mask technology
    Frequency rangeCompressed sensingBase scanningDeep learning
    RtOptical-<1 ms<1 ms
    THz~100 s @64×64 <1 ms-
    SrOptical2% @256×256 1% @256×256 4% @128×128
    THz30% @32×32 10% @64×64 -
    RqOpticalMSE=0.04 @10% SNR=64.2PSNR=24 dB
    THzMSE=0.48 @30% SNR=6.2-
    Table 2. Comparison of technical indexes of single-pixel imaging algorithms
    Rongbin She, Yongle Zhu, Wenquan Liu, Yuanfu Lu, Guangyuan Li. Terahertz single-pixel computational imaging: Principles and applications(Invited)[J]. Infrared and Laser Engineering, 2021, 50(12): 20210717
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