J. Khoury, Model and quality assessment of single image dehazing, 2016.
URL : https://hal.archives-ouvertes.fr/tel-01731624

K. Harald, Theorie der horizontalen sichtweite: Kontrast und sichtweite, Keim & Nemnich, vol.12, 1924.

B. Cai, X. Xu, K. Jia, C. Qing, and D. Tao, DehazeNet: An End-to-End System for Single Image Haze Removal, IEEE Transactions on Image Processing, vol.25, issue.11, pp.5187-5198, 2016.
DOI : 10.1109/TIP.2016.2598681

B. Li, X. Peng, Z. Wang, J. Xu, and D. Feng, AOD-Net: All-in-One Dehazing Network, 2017 IEEE International Conference on Computer Vision (ICCV), 2017.
DOI : 10.1109/ICCV.2017.511

J. Khoury, J. Thomas, and A. Mansouri, A Color Image Database for Haze Model and??Dehazing Methods Evaluation, Image and Signal Processing, pp.109-117, 2016.
DOI : 10.1007/978-3-319-33618-3_12
URL : https://hal.archives-ouvertes.fr/hal-01343756

, A database with reference for image dehazing evaluation, Journal of Imaging Science and Technology, vol.62, issue.1, 2018.

K. He, J. Sun, and X. Tang, Single image haze removal using dark channel prior, IEEE transactions on pattern analysis and machine intelligence, vol.33, issue.12, pp.2341-2353, 2011.

J. Tarel and N. Hautiere, Fast visibility restoration from a single color or gray level image, 2009 IEEE 12th International Conference on Computer Vision, pp.2201-2208, 2009.
DOI : 10.1109/ICCV.2009.5459251
URL : https://hal.archives-ouvertes.fr/hal-00435982

Z. Xu, X. Liu, and N. Ji, Fog Removal from Color Images using Contrast Limited Adaptive Histogram Equalization, 2009 2nd International Congress on Image and Signal Processing, pp.1-5, 2009.
DOI : 10.1109/CISP.2009.5301485

A. Krizhevsky, I. Sutskever, and G. E. Hinton, Imagenet classification with deep convolutional neural networks, " in Advances in neural information processing systems, pp.1097-1105, 2012.

N. Silberman, D. Hoiem, P. Kohli, and R. Fergus, Indoor Segmentation and Support Inference from RGBD Images, European Conference on Computer Vision, pp.746-760, 2012.
DOI : 10.1007/978-3-642-33715-4_54

, zlinker -dehazenet, pp.2017-2029

J. Khoury, S. Le-moan, J. Thomas, and A. Mansouri, Color and sharpness assessment of single image dehazing Available: https, Multimedia Tools and Applications, 2017.

N. Hautì-ere, J. Tarel, D. Aubert, and E. Dumont, BLIND CONTRAST ENHANCEMENT ASSESSMENT BY GRADIENT RATIOING AT VISIBLE EDGES, Image Analysis & Stereology, vol.27, issue.2, pp.87-95, 2011.
DOI : 10.5566/ias.v27.p87-95

L. K. Choi, J. You, and A. C. Bovik, Referenceless Prediction of Perceptual Fog Density and Perceptual Image Defogging, IEEE Transactions on Image Processing, vol.24, issue.11, pp.3888-3901, 2015.
DOI : 10.1109/TIP.2015.2456502

L. Zhang, Y. Shen, and H. Li, VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment, IEEE Transactions on Image Processing, vol.23, issue.10, pp.4270-4281, 2014.
DOI : 10.1109/TIP.2014.2346028

J. Khoury, J. Thomas, and A. Mansouri, Haze and convergence models: Experimental comparison Available: https, AIC 2015, 2015.

L. Zhang, Z. Gu, and H. Li, SDSP: A novel saliency detection method by combining simple priors, 2013 IEEE International Conference on Image Processing, pp.171-175, 2013.
DOI : 10.1109/ICIP.2013.6738036