[1] [1] CHOI L K,YOU J,BOVIK A C.Referenceless prediction of perceptual fog density and perceptual image defogging[J]. IEEE Transactions on Image Processing,2015,24(11):3888-3901.

[3] [3] LIU W,YAO R,QIU G.A physics based generative adversarial network for single image defogging[J].Image and Vision Computing,2019,92(1):103815.

[4] [4] KHAN H,SHARIF M,BIBI N,et al.Localization of radiance transformation for image dehazing in wavelet domain[J].Neurocomputing,2020,14:141-151.

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

[6] [6] HE K,SUN J,TANG X.Guided image filtering[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(6):1397-1409.

[8] [8] JIANG Y,SUN C,ZHAO Y,et al. Image dehazing using adaptive bi-channel priors on superpixels[J].Computer Vision and Image Understanding,2017,165(10):17-32.

[9] [9] GUO F,PENG H,TANG J.Genetic algorithm-based parameter selection approach to single image defogging[J].Information Processing Letters,2016,116(10):595-620.

[14] [14] YANG F,TANG S L.Adaptive tolerance dehazing algorithm based on dark channel prior[J].Algorithms,2020,13(2):45-52.