Acta Optica Sinica, Volume. 41, Issue 11, 1107001(2021)
Vortex Beam Generation Based on Spatial Light Modulator and Deep Learning
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)