Laser & Optoelectronics Progress, Volume. 57, Issue 10, 101105(2020)
Compressive Computational Ghost Imaging Method Based on Region Segmentation
Fig. 3. Simulation results. (a) Measured object; (b) binary random speckle pattern preset in DMD
Fig. 4. ROI recognition results with different sampling rates. (a) β=0.05; (b) β=0.10
Fig. 6. Comparison chart of numerical simulation results of different methods at different sampling rates. (a) β=0.05; (b) β=0.10; (c) β=0.20; (d) β=0.30
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Wei Feng, Xiaodong Zhao, Shaojing Tang, Daxing Zhao. Compressive Computational Ghost Imaging Method Based on Region Segmentation[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101105
Category: Imaging Systems
Received: Aug. 29, 2019
Accepted: Oct. 18, 2019
Published Online: May. 8, 2020
The Author Email: Wei Feng (david2018@hbut.edu.cn)