Laser & Optoelectronics Progress, Volume. 58, Issue 18, 1811011(2021)
Two Key Technologies Influencing on Computational Ghost Imaging Quality
Fig. 1. Schematic diagram of pseudo-thermal light correlation imaging[37]
Fig. 2. Schematic diagram of CGI[37]
Fig. 5. Reconstruction algorithms based on deep learning. (a) Simulation results of GI, CSGI and DLGI[56], β represents sampling rate; (b) reconstruction results of end-to-end convolution neural network[57]; (c) structural diagram of super-resolution convolution neural network based on compressed sensing[60]; (d) GI reconstruction results calculated by deep learning framework based on dynamic decoding (Y-net)[61]
Fig. 6. Optimization schemes of Hadamard matrix based on traditional correlation reconstruction algorithms. (a) Scheme of single-pixel imaging with spatial dynamic resolution[63]; (b) Hadamard matrix sorting based on “Russian doll”[64]; (c) scheme of multi-resolution progressive correlation imaging and imaging results [65]
Fig. 7. Optimization schemes of Hadamard matrix based on compressed sensing class reconstruction algorithms. (a) Diagram of illumination pattern based on the idea of origami[69]; (b) Hadamard matrix sorting based on “cutting cake”[70]; (c) four kinds of Hadamard matrix sorting[71]; (d) comparisons of imaging quality for different kinds of illumination patterns at different sampling rates[72]
Fig. 8. Energy sorting diagrams of Hadamard matrix[73]
Fig. 9. Schemes of traditional reconstruction algorithms based on optimized orthogonal transformation matrix. (a) Illumination patterns of HSPI, 4-step FSPI and 3-step binary FSPI[77]; (b) fast FSPI scheme via binary illumination[78]; (c) computational weighted FSPI scheme via binary illumination[79]
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Rongke Gao, Lusha Yan, Chenxiang Xu, Dekui Li, Zhongyi Guo. Two Key Technologies Influencing on Computational Ghost Imaging Quality[J]. Laser & Optoelectronics Progress, 2021, 58(18): 1811011
Category: Imaging Systems
Received: Mar. 28, 2021
Accepted: Jun. 2, 2021
Published Online: Sep. 3, 2021
The Author Email: Guo Zhongyi (guozhongyi@hfut.edu.cn)