Meng Lu, Hu Haifeng, Hu Jinzhou, Bu Sihang, Gao Han. Image Reconstruction of Multimode Fiber Scattering Media Based on Deep Learning[J]. Chinese Journal of Lasers, 2020, 47(12): 1206005
- Chinese Journal of Lasers
- Vol. 47, Issue 12, 1206005 (2020)
Fig. 1. Design of optical experiment platform
Fig. 2. Overall network structure. (a) Conv block; (b) dense block; (c) DenseUnet; (d) DCNN
Fig. 3. ReLU nonlinear activation function
Fig. 4. Physical diagram of multimode optical fiber imaging system
Fig. 5. Digital images in imaging system performance test experiment
Fig. 6. Results of reconstruction and classification
Fig. 7. Classification accuracy of training set and validation set for reconstructed images under 0.1 m fiber
Fig. 8. Reconstruction accuracy under different fiber lengths. (a) 0.1 m; (b) 10 m
Fig. 9. Classification accuracy of different fiber lengths in training set and validation set. (a) 0.1 m; (b) 10 m
Fig. 10. Results of speckle reconstruction under different fiber lengths
Fig. 11. Comparison of reconstruction results of different network models. (a) Speckle images output from multimode fiber; (b) reconstruction results of DenseUnet; (c) reconstruction results of traditional Unet; (d) original image (ground truth)
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Table 1. Classification accuracy of different fiber lengths using two input modes
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Table 2. Reconstruction quality of different models
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