[1] 陆明海, 沈夏, 韩申生. 基于数字微镜器件的压缩感知关联成像研究[J]. 光学学报, 2011, 31(7): 0711002.

    Lu M H, Shen X, Han S S. Ghost imaging via compressive sampling based on digital micromirror device[J]. Acta Optica Sinica, 2011, 31(7): 0711002.

[2] 周成, 黄贺艳, 刘兵, 等. 基于混合散斑图的压缩计算鬼成像方法研究[J]. 光学学报, 2016, 36(9): 0911001.

    Zhou C, Huang H Y, Liu B, et al. Hybrid speckle-pattern compressive computational ghost imaging[J]. Acta Optica Sinica, 2016, 36(9): 0911001.

[3] 刘盛盈, 刘震涛, 吴建荣, 等. 基于平场光栅的稀疏约束鬼成像高光谱相机[J]. 光学学报, 2017, 37(5): 0511004.

    Liu S Y, Liu Z T, Wu J R, et al. Hyperspectral camera based on ghost imaging via sparsity constraints with application of flat-field grating[J]. Acta Optica Sinica, 2017, 37(5): 0511004.

[4] 陈熠, 樊祥, 程玉宝, 等. 基于邻域相似度的压缩感知鬼成像[J]. 光学学报, 2018, 38(7): 0711001.

    Chen Y, Fan X, Cheng Y B, et al. Compressive sensing ghost imaging based on neighbor similarity[J]. Acta Optica Sinica, 2018, 38(7): 0711001.

[5] Cheng J. Ghost imaging through turbulent atmosphere[J]. Optics Express, 2009, 17(10): 7916-7921.

[6] Zhang P L, Gong W L, Shen X, et al. Correlated imaging through atmospheric turbulence[J]. Physical Review A, 2010, 82(3): 033817.

[7] Erkmen B I. Computational ghost imaging for remote sensing[J]. Journal of the Optical Society of America A, 2012, 29(5): 782-789.

[8] Gong W L, Han S S. Correlated imaging in scattering media[J]. Optics Letters, 2011, 36(3): 394-396.

[9] 吕沛, 周仁魁, 何俊华, 等. 水下单像素成像系统研究[J]. 光电子·激光, 2011, 22(9): 1425-1430.

    Lü P, Zhou R K, He J H, et al. Research on underwater single-pixel imaging system[J]. Journal of Optoelectronics·Laser, 2011, 22(9): 1425-1430.

[10] 吕沛. 基于压缩感知理论的水下成像技术和图像压缩编码技术研究[D]. 西安: 中国科学院大学, 2012.

    LüP. Research of underwater imaging technology and image compression technology based on compressive sensing theory[D]. Xi'an: University of Chinese Academy ofSciences, 2012.

[11] Le M N, Wang G, Zheng H B, et al. Underwater computational ghost imaging[J]. Optics Express, 2017, 25(19): 22859-22868.

[12] Zhao M, Uhlmann J, Lanzagorta M, et al. Passive ghost imaging using caustics modeling[J]. Proceedings of SPIE, 2017, 10188: 101880H.

[13] 刘保磊, 杨照华, 曲少凡, 等. 不同路径下散射介质对计算关联成像的影响[J]. 光学学报, 2016, 36(10): 1026017.

    Liu B L, Yang Z H, Qu S F, et al. Influence of turbid media at different locations in computational ghost imaging[J]. Acta Optica Sinica, 2016, 36(10): 1026017.

[14] Ouyang B, Dalgleish F R, Caimi F M, et al. Compressive line sensing underwater imaging system[J]. Optical Engineering, 2014, 53(5): 051409.

[15] 金伟其, 王霞, 曹峰梅, 等. 水下光电成像技术与装备研究进展(下)[J]. 红外技术, 2011, 33(3): 125-132.

    Jin W Q, Wang X, Cao F M, et al. Review of underwater opto-electrical imaging technology and equipment(Ⅱ)[J]. Infrared Technology, 2011, 33(3): 125-132.

[16] BaronD, Duarte MF, SarvothamS, et al. An information-theoretic approach to distributed compressed sensing[C]∥43rd Conference on Communication, Control and Computing. [S.l.: s.n.], 2005, 24: 1537- 1541.

[17] Bioucas-Dias J M, Figueiredo M A T. A new TwIST: two-step iterative shrinkage/thresholding algorithms for image restoration[J]. IEEE Transactions on Image Processing, 2007, 16(12): 2992-3004.