[1] 代书博, 徐伟, 朴永杰, 等. 基于暗原色先验的遥感图像去雾方法[J]. 光学学报, 2017, 37(3): 0328002.

    Dai S B, Xu W, Piao Y J, et al. Remote sensing image defogging based on dark channel prior[J]. Acta Optica Sinica, 2017, 37(3): 0328002.

[2] Wang W C, Yuan X H. Recent advances in image dehazing[J]. CAA Journal of Automatica Sinica, 2017, 4(3): 410-436.

[3] Kim J Y, Kim L S, Hwang S H. An advanced contrast enhancement using partially overlapped sub-block histogram equalization[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2001, 11(4): 475-484.

[4] 杨爱萍, 白煌煌. 基于Retinex理论和暗通道先验的夜间图像去雾算法[J]. 激光与光电子学进展, 2017, 54(4): 041002.

    Yang A P, Bai H H. Nighttime image defogging based on the theory of Retinex and dark channel prior[J]. Laser & Optoelectronics Progress, 2017, 54(4): 041002.

[5] He K M, Sun J, Tang X O. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2341-2353.

[6] Meng GF, WangY, Duan JY, et al. Efficient image dehazing with boundary constraint and contextual regularization[C]∥IEEE International Conference on Computer Vision, December 1-8, 2013, Sydney, NSW, Australia. New York: IEEE, 2013: 617- 624.

[7] Sun W, Wang H, Sun C H, et al. Fast single image haze removal via local atmospheric light veil estimation[J]. Computers & Electrical Engineering, 2015, 46: 371-383.

[8] 杨燕, 张国强, 李一菲, 等. 基于边缘保持的自适应高斯衰减去雾算法[J]. 激光与光电子学进展, 2018, 55(8): 081004.

    Yang Y, Zhang G Q, Li Y F, et al. Adaptive gaussian attenuation defogging algorithm based on edge preservation[J]. Laser & Optoelectronics Progress, 2018, 55(8): 081004.

[9] Zhu Q S, Mai J M, Shao L. A fast single image haze removal algorithm using color attenuation prior[J]. IEEE Transactions on Image Processing, 2015, 24(11): 3522-3533.

[10] Wang W C, Yuan X H, Wu X J, et al. Fast image dehazing method based on linear transformation[J]. IEEE Transactions on Multimedia, 2017, 19(6): 1142-1155.

[11] Cai B L, Xu X M, Jia K, et al. Dehazenet: an end-to-end system for single image haze removal[J]. IEEE Transactions on Image Processing, 2016, 25(11): 5187-5198.

[12] Ren WQ, LiuS, ZhangH, et al. Single image dehazing via multi-scale convolutional neural networks[C]∥Leibe B, Matas J, Sebe N, et al. Computer Vision - ECCV 2016. Cham: Springer, 2016, 9906: 154- 169.

[13] 郭翰, 徐晓婷, 李博. 基于暗原色先验的图像去雾方法研究[J]. 光学学报, 2018, 38(4): 0410002.

    Guo H, Xu X T, Li B. Study on image dehazing methods based on dark channel prior[J]. Acta Optica Sinica, 2018, 38(4): 0410002.

[14] 杨燕, 陈高科. 基于光补偿和逐像素透射率的图像复原算法[J]. 通信学报, 2017, 38(5): 48-56.

    Yang Y, Chen G K. Single image visibility restoration using optical compensation and pixel-by-pixel transmission estimation[J]. Journal on Communications, 2017, 38(5): 48-56.

[15] SulamiM, GlatzerI, FattalR, et al. Automatic recovery of the atmospheric light in hazy images[C]∥IEEE International Conference on Computational Photography(ICCP), May 2-4, 2014, Santa Clara, CA, USA. New York: IEEE, 2014: 1- 11.

[16] Kim J H, Jang W D, Sim J Y, et al. Optimized contrast enhancement for real-time image and video dehazing[J]. Journal of Visual Communication and Image Representation, 2013, 24(3): 410-425.

[17] 刘坤, 毕笃彦, 王世平, 等. 基于稀疏特征提取的单幅图像去雾[J]. 光学学报, 2018, 38(3): 0310001.

    Liu K, Bi D Y, Wang S P, et al. Single image dehazing based on sparse feature extraction[J]. Acta Optica Sinica, 2018, 38(3): 0310001.

[18] Hautière N, Tarel J P, Aubert D, et al. Blind contrast enhancement assessment by gradient ratioing at visible edges[J]. Image Analysis & Stereology, 2011, 27(2): 87.