Acta Optica Sinica, Volume. 39, Issue 4, 0407001(2019)
Terahertz Wave Wide-Beam Imaging Technology Based on Block Compressive Sensing Theory
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
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)
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
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
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
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
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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
Category: Fourier Optics and Signal Processing
Received: Nov. 3, 2018
Accepted: Dec. 12, 2018
Published Online: May. 10, 2019
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