[1] [1] 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.

[2] [2] KIM K, KIM S, KIM K S. Effective image enhancement techniques for fog-affected indoor and outdoor images[J]. IET Image Processing, 2018, 12(4): 465-471.

[3] [3] LI J Y, HU Q W, AI M Y. Haze and thin cloud removal via sphere model improved dark channel prior[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16(3): 472-476.

[4] [4] LIU Y H, YAN H M, GAO S B, et al. Criteria to evaluate the fidelity of image enhancement by MSRCR[J]. IET Image Processing, 2018, 12(6): 880-887.

[5] [5] ENGIN D, GENC A, EKENEL H K. Cycle-Dehaze: enhanced cyclegan for single image dehazing[C]//IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Salt Lake City: IEEE, 2018.doi: 10.1109/CVPRW.2018.00127.

[6] [6] REN W Q, LIU S, ZHANG H, et al. Single image dehazing via multi-scale convolutional neural networks[C]//European Conference on Computer Vision. Cham: Springer, 2016: 154-169.

[7] [7] 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.

[8] [8] HE K M, SUN J, TANG X O. Single image haze removal using dark channel prior[C]//IEEE Conference on Computer Vision and Pattern Recognition. Miami: IEEE, 2009: 1956-1963.

[9] [9] BERMAN D, TREIBITZ T, AVIDAN S. Non-local image dehazing[C]//IEEE Conference on Computer Visionand Pattern Recognition. Las Vegas: IEEE, 2016: 1674-1682.

[10] [10] 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.

[11] [11] MENG G F, WANG Y, DUAN J Y, et al. Efficient image dehazing with boundary constraint and contextual regularization[C]//IEEE International Conference on Computer Vision. Sydney: IEEE, 2013: 617-624.

[15] [15] SHWARTZ S, NAMER E, SCHECHNER Y Y. Blind haze separation[C]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR′06). New York: IEEE, 2006: 1984-1991.

[16] [16] LI B Y, REN W Q, FU D P, et al. Benchmarking single image dehazing and beyond[J]. IEEE Transactions on Image Processing, 2019, 28(1): 492-505.

[17] [17] ANCUTI C O, ANCUTI C, TIMOFTE R, et al. O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor images[J]. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Salt Lake City: IEEE, 2018.doi: 10.1109/CVPRW.2018.00119.

[18] [18] ANCUTI C O, ANCUTI C, TIMOFTE R, et al. I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images[C]//Advanced Concepts for Intelligent Vision Systems. Cham: Springer, 2018: 620-631.