Acta Optica Sinica, Volume. 41, Issue 11, 1107001(2021)
Vortex Beam Generation Based on Spatial Light Modulator and Deep Learning
Fig. 1. Flow chart of GS-CNN method
Fig. 2. Model selection of CNN. (a) MSE versus number of convolutional layers; (b) structural diagram of CNN
Fig. 3. Simulation experimental results by GS-CNN method. (a)--(c) Target intensity distributions of Bessel beams; (d)--(f) output light intensity distributions of generated vortex beams; (g)--(i) LC-SLM phase holograms of generated vortex beams
Fig. 4. RMSE of output light intensity and target light intensity of Bessel beam generated by each method. (a) l=1; (b) l=3; (c) l=1 and 4
Fig. 5. DE between input beam energy and output beam energy of Bessel vortex beam. (a) l=1; (b) l=3; (c) l=1 and 4
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Wenqi Ma, Huimin Lu, Jianping Wang, Yunshu Gao, Zengkun Wang. Vortex Beam Generation Based on Spatial Light Modulator and Deep Learning[J]. Acta Optica Sinica, 2021, 41(11): 1107001
Category: Fourier Optics and Signal Processing
Received: Dec. 11, 2020
Accepted: Jan. 8, 2021
Published Online: Jun. 7, 2021
The Author Email: Lu Huimin (hmlu@ustb.edu.cn)