Laser & Optoelectronics Progress, Volume. 60, Issue 20, 2011003(2023)
Poisson Noise Suppression for Single-Photon Non-Line-of-Sight Imaging Based on Deep Learning
Fig. 2. Network structures. (a) Structure of AEF-Net; (b) sparse block; (c) feature enhancement block; (d) RNN block; (e) ConvRNNcell
Fig. 3. Reconstruction results of non-line-of-sight simulation at different photons.(a) Number of photons is
Fig. 4. Reconstruction results of non-line-of-sight simulation at different distances. (a) 0.5 m; (b) 1 m; (c) 2 m; (d) 4 m
Fig. 5. Comparison of average PSNR of networks trained by dataset with different noises
Fig. 6. Noise suppression results obtained by different AEF-Net; (a) Scan time of 512 s; (b) scan time of 1024 s; (c) scan time of 2048 s
Fig. 8. Noise suppression results of different algorithms. (a) Scan time of 512 s; (b) scan time of 1024 s; (c) scan time of 2048 s
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Min Tu, Qiurong Yan, Yongjian Zheng, Xiancheng Xiong, Quan Zou, Qianling Dai, Xiaoqiang Lu. Poisson Noise Suppression for Single-Photon Non-Line-of-Sight Imaging Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2023, 60(20): 2011003
Category: Imaging Systems
Received: Nov. 4, 2022
Accepted: Dec. 28, 2022
Published Online: Sep. 28, 2023
The Author Email: Qiurong Yan (yanqiurong@ncu.edu.cn)