[1] M. B. Garcia, S. P. Gutiérrez, A. V. Martí. Polarimetric imaging vs. conventional imaging: evaluation of image contrast in fog. Atmosphere, 12, 813(2021).

[2] F. Huang, S. Qiu, H. Liu. Active imaging through dense fog by utilizing the joint polarization defogging and denoising optimization based on range-gated detection. Opt. Express, 31, 25527(2023).

[3] J. C. H. Camp, Y. J. Lee, J. M. Heddleston. High-speed coherent Raman fingerprint imaging of biological tissues. Nat. Photonics, 8, 627(2014).

[4] Y. Chen, S. Wang, F. Zhang. Near-infrared luminescence high-contrast in vivo biomedical imaging. Nat. Rev. Bioeng., 1, 60(2023).

[5] Z. Jia, J. Li, L. Gao. Dynamic light scattering: a powerful tool for in situ nanoparticle sizing. Colloid Interfaces, 7, 15(2023).

[6] H. B. Sedeh, D. G. Pires, N. Chandra. Manipulation of scattering spectra with topology of light and matter. Laser Photonics Rev., 17, 2200472(2023).

[7] K. Vynck, R. Pierrat, R. Carminati. Light in correlated disordered media. Rev. Mod. Phys., 95, 045003(2023).

[8] A. Sdobnov, G. Piavchenko, A. Bykov. Advances in dynamic light scattering imaging of blood flow. Laser Photonics Rev., 18, 2300494(2023).

[9] K. Ma, X. Wang, S. He. Plug-and-play algorithm for imaging through scattering media under ambient light interference. Opt. Lett., 48, 1754(2023).

[10] Y. Shui, J. Zhou, X. Luo. Imaging through scattering media under strong ambient light interference via the lock-in process. Opt. Express, 31, 29782(2023).

[11] S. Akther, M. B. Mikkelsen, D. D. Postnov. Choosing a polarisation configuration for dynamic light scattering and laser speckle contrast imaging. Biomed. Opt. Express, 15, 336(2024).

[12] T. B. Pittman, Y. H. Shih, D. V. Strekalov et al. Optical imaging by means of two-photon quantum entanglement. Phys. Rev. A, 52, R3429(1995).

[13] D. V. Strekalov, A. V. Sergienko, D. N. Klyshko et al. Observation of two-photon ‘ghost’ interference and diffraction. Phys. Rev. Lett., 74, 3600(1995).

[14] T. B. Pittman, D. V. Strekalov, D. N. Klyshko et al. Two-photon geometric optics. Phys. Rev. A, 53, 2804(1996).

[15] G. D. Giuseppe, L. Haiberger, F. D. Martini. Quantum interference and indistinguishability with femtosecond pulses. Phys. Rev. A, 56, R21(1997).

[16] B. E. A. Saleh, A. Joobeur, M. C. Teich. Spatial effects in two- and four-beam interference of partially entangled biphotons. Phys. Rev. A, 57, 3991(1998).

[17] A. Gatti, R. E. Brambilla, M. Bache et al. Ghost imaging with thermal light: comparing entanglement and classical correlation. Phys. Rev. Lett., 93, 093602(2004).

[18] J. Cheng, S. S. Han. Incoherent coincidence imaging and its applicability in X-ray diffraction. Phys. Rev. Lett., 92, 093903(2004).

[19] W. L. Gong. High-resolution pseudo-inverse ghost imaging. Photonics Res., 3, 234(2015).

[20] S. Q. Nan, Y. F. Bai, X. H. Shi et al. Experimental investigation of ghost imaging of reflective objects with different surface roughness. Photonics Res., 5, 372(2017).

[21] H. C. Liu, H. Yang, J. Xiong et al. Positive and negative ghost imaging. Phys. Rev. Appl., 12, 034019(2019).

[22] Z. Yang, L. Zhao, X. Zhao. Lensless ghost imaging through the strongly scattering medium. Chin. Phys. B, 25, 024202(2015).

[23] Q. Fu, Y. F. Bai, X. W. Huang et al. Positive influence of the scattering medium on reflective ghost imaging. Photonics Res., 7, 1468(2019).

[24] F. Li, M. Zhao, Z. Tian. Compressive ghost imaging through scattering media with deep learning. Opt. Express, 28, 17395(2020).

[25] Z. Gao, J. Yin, Y. Bai. Imaging quality improvement of ghost imaging in scattering medium based on Hadamard modulated light field. Appl. Opt., 59, 8472(2020).

[26] Z. Gao, X. Cheng, K. Chen. Computational ghost imaging in scattering media using simulation-based deep learning. IEEE Photonics J., 12, 6803115(2020).

[27] Y. Xiao, L. Zhou, W. Chen. High-resolution ghost imaging through complex scattering media via a temporal correction. Opt. Lett., 47, 3692(2022).

[28] Y. Peng, W. Chen. Learning-based correction with Gaussian constraints for ghost imaging through dynamic scattering media. Opt. Lett., 48, 4480(2023).

[29] K. X. Guo, Y. F. Bai, X. Q. Fu. Ghost imaging of the low or high frequency based on the corresponding spatial-frequency of the reference pattern. Opt. Commun., 444, 120(2019).

[30] X. Nie, H. Song, W. Ren et al. Deep-learned speckle pattern and its application to ghost imaging(2021).

[31] S. Sun, W. T. Liu, J. H. Gu. Ghost imaging normalized by second-order coherence. Opt. Lett., 44, 5993(2019).

[32] J. Long, E. Shelhamer, T. Darrell. Fully convolutional networks for semantic segmentation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 3431(2015).

[33] O. Ronneberger, P. Fischer, T. Brox. U-Net: convolutional networks for biomedical image segmentation. International Conference on Medical image computing and computer-assisted intervention, 234(2015).

[34] Y. LeCun, Y. Bengio, G. Hinton. Deep learning. Nature, 521, 436(2015).

[35] M. T. McCann, K. H. Jin, M. Unser. Convolutional neural networks for inverse problems in imaging: a review. IEEE Signal Proc. Mag., 34, 85(2017).

[36] B. George, A. Ozcan, G. Situ. On the use of deep learning for computational imaging. Optica, 6, 921(2019).

[37] X. Huang, S. Nan, W. Tan et al. Ghost imaging for detecting trembling with random temporal changing. Opt. Lett., 45, 1354(2020).

[38] T. Bian, Y. Yi, J. Hu. A residual-based deep learning approach for ghost imaging. Sci. Rep., 10, 12149(2020).

[39] H. Wu, R. Wang, G. Zhao. Deep-learning denoising computational ghost imaging. Opt. Laser Eng., 134, 106183(2020).

[40] X. Yang, Z. Yu, L. Xu. Underwater ghost imaging based on generative adversarial networks with high imaging quality. Opt. Express, 29, 28388(2020).