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Single image defogging is a classical and challenging problem in computer vision.
A fast single image haze removal algorithm using color attenuation prior
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Optics of the atmosphere: scattering by molecules and particles
E. J. McCartney · 1976
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A threshold selection method from gray-level histograms
N. Ostu · 1979
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Vision in bad weather
S. K. Nayar and S. G. Narasimhan · 1999
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Poisson matting
J. Sun, J. Jia, C.-K. Tang, and H.-Y. Shum · 2004
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Consistent temporal variations in many outdoor scenes
N. Jacobs, N. Roman, and R. Pless · 2007
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A closed-form solution to natural image matting
A. Levin, D. Lischinski, and Y. Weiss · 2008
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Visibility in bad weather from a single image
R. T. Tan · 2008
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A fast semi-inverse approach to detect and remove the haze from a single image
C. O. Ancuti, C. Ancuti, C. Hermans, and P. Bekaert · 2010
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Fast matting using large kernel matting laplacian matrices
K. He, J. Sun, and X. Tang · 2010
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Blind contrast enhancement assessment by gradient ratioing at visible edges
N. Hautière, J.-P. Tarel, D. Aubert, and E. Dumont · 2011
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Single image haze removal using dark channel prior
K. He, J. Sun, and X. Tang · 2011
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No-reference image quality assessment in the spatial domain
A. Mittal, A. K. Moorthy, and A. C. Bovik · 2012
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Indoor segmentation and support inference from rgbd images
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus · 2012
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Efficient image dehazing with boundary constraint and contextual regularization
G. Meng, Y. Wang, J. Duan, S. Xiang, and C. Pan · 2013
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Dehazing using color-lines
R. Fattal · 2014
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Back propagation neural network dehazing
J. Mai, Q. Zhu, D. Wu, Y. Xie, and L. Wang · 2014
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
S. S. Girija · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Perceptual losses for real-time style transfer and super-resolution
J. Johnson, A. Alahi, and L. Fei-Fei · 2016
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Single image dehazing via multi-scale convolutional neural networks
W. Ren, S. Liu, H. Zhang, J. Pan, X. Cao, and M.-H. Yang · 2016
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Aod-net: All-in-one dehazing network
B. Li, X. Peng, Z. Wang, J. Xu, and D. Feng · 2017
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Reside: A benchmark for single image dehazing
B. Li, W. Ren, D. Fu, D. Tao, D. Feng, W. Zeng, and Z. Wang · 2017
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Investigating haze-relevant features in a learning framework for image dehazing
K. Tang, J. Yang, and J. Wang · 2014
Cited alongside, same era.
Referenceless prediction of perceptual fog density and perceptual image defogging
L. K. Choi, J. You, and A. C. Bovik · 2015
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
Cited alongside, same era.
Non-local image dehazing
D. Berman, S. Avidan, et al · 2016
Cited alongside, same era.
Dehazenet: An end-to-end system for single image haze removal
B. Cai, X. Xu, K. Jia, C. Qing, and D. Tao · 2016
Cited alongside, same era.
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Cycle-dehaze: Enhanced cyclegan for single image dehazing
D. Engin, A. Genç, and H. K. Ekenel · 2018
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Single image dehazing via conditional generative adversarial network
R. Li, J. Pan, Z. Li, and J. Tang · 2018
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Gated fusion network for single image dehazing
W. Ren, L. Ma, J. Zhang, J. Pan, X. Cao, W. Liu, and M.-H. Yang · 2018
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Densely connected pyramid dehazing network
H. Zhang and V. M. Patel · 2018
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