Laser & Optoelectronics Progress, Volume. 57, Issue 2, 21016(2020)
Computational Ghost Imaging Method Based on Tikhonov Regularization
Fig. 2. Reconstructed results of different algorithms under interference. (a) Original images; (b) CGI; (c) DGI; (d) PGI; (e) proposed algorithm
Fig. 3. GCV function with interference. (a) GCV curve of double-slit image; (b) GCV curve of rice image
Fig. 4. Comparison of anti-interference performances of different algorithms. (a) MSE; (b) SSIM
Fig. 5. Reconstructed results of different algorithms without interference. (a) Original images; (b) CGI; (c) DGI; (d) proposed algorithm
Fig. 6. GCV function without interference. (a) GCV curve of double-slit image; (b) GCV curve of rice image
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Tao Yong, Wang Xiaoxia, Yan Guoqing, Yang Fengbao. Computational Ghost Imaging Method Based on Tikhonov Regularization[J]. Laser & Optoelectronics Progress, 2020, 57(2): 21016
Category: Image Processing
Received: May. 30, 2019
Accepted: --
Published Online: Jan. 3, 2020
The Author Email: Xiaoxia Wang (wangxiaoxia@nuc.edu.cn)