Laser & Optoelectronics Progress, Volume. 61, Issue 10, 1011010(2024)
Ghost Imaging Quality Optimization Based on Deep Convolutional Generative Adversarial Networks
[1] Wang D F, Yao X, Jiao Z K et al. Two-photon correlation imaging technique towards long-distance quantum communications[J]. Semiconductor Optoelectronics, 41, 542-547(2020).
[2] Shi F, Lu T X, Yang S N et al. Target recognition method based on single-pixel imaging system and deep learning in the noisy environment[J]. Infrared and Laser Engineering, 49, 20200010(2020).
[3] Ferri F, Magatti D, Lugiato L A et al. Differential ghost imaging[J]. Physical Review Letters, 104, 253603(2010).
[4] Katz O, Bromberg Y, Silberberg Y. Compressive ghost imaging[J]. Applied Physics Letters, 95, 131110(2009).
[5] Zhang H W, Guo S X, Zhang C et al. Pseudo-inverse iterative denoising method for object reconstruction of ghost imaging[J]. Acta Photonica Sinica, 46, 210001(2017).
[6] Hou M X, Hou C L. Application of correlation imaging and its latest progress[J]. Laser & Optoelectronics Progress, 60, 0200003(2023).
[7] Sun M J, Yan S M, Wang S Y. Reconstruction algorithms for ghost imaging and single-pixel imaging[J]. Laser & Optoelectronics Progress, 59, 0200001(2022).
[8] Zong Y F, Zheng H B, Wu X W et al. Sequence-controlled pseudothermal optical ghost imaging system[J]. Acta Optica Sinica, 43, 0711001(2023).
[9] Zhang Q F, Sun R, Ding Y et al. Computational ghost imaging method based on discrete w transform[J]. Laser & Optoelectronics Progress, 60, 2211003(2023).
[10] Zhang S Q, Yang F B, Wang X X. Ghost imaging optimization method based on autoencoder neural networker[J]. Electronic Measurement Technology, 44, 77-83(2021).
[11] Feng W, Zhao X D, Wu G M et al. Computational ghost imaging method based on convolutional neural network[J]. Acta Photonica Sinica, 49, 0610002(2020).
[12] Wei F, Sun X Y, Li X H et al. High-speed computational ghost imaging based on an auto-encoder network under low sampling rate[J]. Applied Optics, 60, 4591-4598(2021).
[13] Wang F, Wang H, Wang H C et al. Learning from simulation: an end-to-end deep-learning approach for computational ghost imaging[J]. Optics Express, 27, 25560-25572(2019).
[14] Yang X, Yu Z Y, Xu L et al. Underwater ghost imaging based on generative adversarial networks with high imaging quality[J]. Optics Express, 29, 28388-28405(2021).
[15] Zhao M, Zhang X D, Zhang R F. Single-arm ghost imaging via conditional generative adversarial network[J]. Laser Physics Letters, 18, 075203(2021).
[16] Liu S P, Meng X F, Yin Y K et al. Computational ghost imaging based on an untrained neural network[J]. Optics and Lasers in Engineering, 147, 106744(2021).
[17] Liu H, Chen Y N, Zhang L et al. Color ghost imaging through the scattering media based on A-cGAN[J]. Optics Letters, 47, 569-572(2022).
[18] Li M F, Yan L, Yang R et al. Fast single-pixel imaging based on optimized reordering Hadamard basis[J]. Acta Physica Sinica, 68, 064202(2019).
[19] Yan G Q, Yang F B, Wang X X et al. Computational ghost imaging based on orthogonal sinusoidal speckle[J]. Laser & Optoelectronics Progress, 57, 041019(2020).
[20] Yan R N, He Q M, Liu Y Q et al. Unpaired virtual histological staining using prior-guided generative adversarial networks[J]. Computerized Medical Imaging and Graphics, 105, 102185(2023).
[21] Zhang Y L, Liu Y C, Wang Y et al. An ensemble oversampling method for imbalanced classification with prior knowledge via generative adversarial network[J]. Chemometrics and Intelligent Laboratory Systems, 235, 104775(2023).
[22] Liu X W, Wang R H, Huo H T et al. An attention-guided and wavelet-constrained generative adversarial network for infrared and visible image fusion[J]. Infrared Physics & Technology, 129, 104570(2023).
Get Citation
Copy Citation Text
Maoxin Hou, Zhaotao Liu. Ghost Imaging Quality Optimization Based on Deep Convolutional Generative Adversarial Networks[J]. Laser & Optoelectronics Progress, 2024, 61(10): 1011010
Category: Imaging Systems
Received: Nov. 2, 2023
Accepted: Dec. 26, 2023
Published Online: Apr. 29, 2024
The Author Email: Hou Maoxin (wang17835132895@163.com)
CSTR:32186.14.LOP232421