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In this paper, we present an end-to-end network, called Cycle-Dehaze, for single image dehazing problem, which does not require pairs of hazy and corresponding ground truth images for training.
Vision in bad weather
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Chromatic framework for vision in bad weather
S. G. Narasimhan and S. K. Nayar · 2000
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Instant dehazing of images using polarization
Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar · 2001
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Contrast restoration of weather degraded images
S. G. Narasimhan and S. K. Nayar · 2003
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Towards fog-free in-vehicle vision systems through contrast restoration
N. Hautière, J.-P. Tarel, and D. Aubert · 2007
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Single image dehazing
R. Fattal · 2008
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Deep photo: Model-based photograph enhancement and viewing
J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski · 2008
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Visibility in bad weather from a single image
R. T. Tan · 2008
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Fast visibility restoration from a single color or gray level image
J.-P. Tarel and N. Hautiere · 2009
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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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Single image haze removal using dark channel prior
K. He, J. Sun, and X. Tang · 2011
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Atmospheric scattering-based multiple images fog removal
T. Zhang, C. Shao, and X. Wang · 2011
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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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Vision enhancement in homogeneous and heterogeneous fog
J.-P. Tarel, N. Hautiere, L. Caraffa, A. Cord, H. Halmaoui, and D. Gruyer · 2012
Cited alongside, same era.
Efficient image dehazing with boundary constraint and contextual regularization
G. Meng, Y. Wang, J. Duan, S. Xiang, and C. Pan · 2013
Cited alongside, same era.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Cited alongside, same era.
High-resolution stereo datasets with subpixel-accurate ground truth
D. Scharstein, H. Hirschmüller, Y. Kitajima, G. Krathwohl, N. Nešić, X. Wang, and P. Westling · 2014
Cited alongside, same era.
TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, et al · 2015
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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Air-light estimation using haze-lines
D. Berman, T. Treibitz, and S. Avidan · 2017
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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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Haze visibility enhancement: A survey and quantitative benchmarking
Y. Li, S. You, M. S. Brown, and R. T. Tan · 2017
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Enhancenet: Single image super-resolution through automated texture synthesis
M. S. Sajjadi, B. Schölkopf, and M. Hirsch · 2017
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Joint transmission map estimation and dehazing using deep networks
H. Zhang, V. Sindagi, and V. M. Patel · 2017
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Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
Cited alongside, same era.
A fast single image haze removal algorithm using color attenuation prior
Q. Zhu, J. Mai, and L. Shao · 2015
Cited alongside, same era.
D-HAZY: a dataset to evaluate quantitatively dehazing algorithms
C. Ancuti, C. O. Ancuti, and C. De Vleeschouwer · 2016
Cited alongside, same era.
Night-time dehazing by fusion
C. Ancuti, C. O. Ancuti, C. De Vleeschouwer, and A. C. Bovik · 2016
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.
Later among the works it cites.
Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
Later among the works it cites.
NTIRE 2018 challenge on image dehazing: Methods and results
C. Ancuti, C. O. Ancuti, R. Timofte, L. Van Gool, L. Zhang, M.-H. Yang, et al · 2018
Closest in time.
I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images
C. O. Ancuti, C. Ancuti, R. Timofte, and C. De Vleeschouwer · 2018
Closest in time.
O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor images
C. O. Ancuti, C. Ancuti, R. Timofte, and C. De Vleeschouwer · 2018
Closest in time.
Candy: Conditional adversarial networks based fully end-to-end system for single image haze removal
K. Swami and S. K. Das · 2018
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Towards perceptual image dehazing by physics-based disentanglement and adversarial training
X. Yang, Z. Xu, and J. Luo · 2018
Closest in time.