Underwater Ghost Imaging Based on Speckle Degradation Compensation

Yuliang Li; Jinquan Qi; Mingliang Chen; Chenjin Deng; Xuehui Shao; Bangyi Tao; Shensheng Han

doi:10.3788/AOS230849

Acta Optica Sinica, Volume. 44, Issue 6, 0601003(2024)

Underwater Ghost Imaging Based on Speckle Degradation Compensation

Yuliang Li^1,2, Jinquan Qi^1,2, Mingliang Chen^1、*, Chenjin Deng¹, Xuehui Shao³, Bangyi Tao⁴, and Shensheng Han^1,2,5

¹CAS Key Laboratory of Quantum Optics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China

²Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

³National Laboratory of Aerospace Intelligent Control Technology, Beijing 100089, China

⁴State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, Zhejiang , China

⁵School of Physics and Optoelectronic Engineering, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, Zhejiang , China

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Figures & Tables(7)

Fig. 1. Schematic diagram of optical path for pseudo thermal light ghost imaging

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Fig. 2. Experimental principle and device diagram of underwater pseudo-thermal light ghost imaging. (a) Underwater ghost imaging principle diagram; (b) underwater ghost imaging device diagram

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Fig. 3. Original image of three-slit target simulation

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Fig. 4. Comparison of reconstruction results for simulated data. (a) Raw GI results; (b) pattern DCGI results; (c) raw PGI results; (d) pattern DCPGI results; (e) three-slit normalized resolution plot marked in frames

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Fig. 5. Graphs of PMT sampling echo curves. (a) Single sampling echo curve; (b) multi-sampling superimposed echo curve

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Fig. 6. Experimental reconstruction results. (a) Raw GI results; (b) pattern DCGI results; (c) PGI results; (d) pattern DCPGI results; (e) three-slit resolution curves

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Table 1. Peak signal-to-noise ratio of reconstructed images of simulation data obtained by different algorithms
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Table 1. Peak signal-to-noise ratio of reconstructed images of simulation data obtained by different algorithms
z /m Signal-to-noise ratio /dB
GI DCGI PGI DCPGI
80 15.29 9.56 16.93 24.85
60 17.43 13.30 20.49 25.14
40 19.35 17.77 21.50 24.93

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Yuliang Li, Jinquan Qi, Mingliang Chen, Chenjin Deng, Xuehui Shao, Bangyi Tao, Shensheng Han. Underwater Ghost Imaging Based on Speckle Degradation Compensation[J]. Acta Optica Sinica, 2024, 44(6): 0601003

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