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Image dehazing has become one of the crucial preprocessing steps for any computer vision task.
On interpolation by means of orthogonal polynomials
M Krawtchouk · 1929
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Scattering phenomena (book reviews: optics of the atmosphere scattering by molecules and particles)
EJ Mccartney · 1977
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The jpeg still picture compression standard
Gregory K Wallace · 1992
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Depth from scattering
Fabio Cozman and Eric Krotkov · 1997
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Chromatic framework for vision in bad weather
Srinivasa G Narasimhan and Shree K Nayar · 2000
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Instant dehazing of images using polarization
Yoav Y Schechner, Srinivasa G Narasimhan, and Shree K Nayar · 2001
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Vision and the atmosphere
Srinivasa G Narasimhan and Shree K Nayar · 2002
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Image analysis by krawtchouk moments
P-T Yap, Raveendran Paramesran, and Seng-Huat Ong · 2003
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Blind haze separation
Sarit Shwartz and YY Schechner · 2006
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Single image haze removal using dark channel prior
Kaiming He, Jian Sun, and Xiaoou Tang · 2010
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Ssim image quality metric for denoised images
Peter Ndajah, Hisakazu Kikuchi, Masahiro Yukawa, Hidenori Watanabe, and Shogo Muramatsu · 2010
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Efficient image dehazing with boundary constraint and contextual regularization
Gaofeng Meng, Ying Wang, Jiangyong Duan, Shiming Xiang, and Chunhong Pan · 2013
Earlier work this paper cites.
Making a “completely blind” image quality analyzer
Anish Mittal, Rajiv Soundararajan, and Alan C. Bovik · 2013
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A robust static hand gesture recognition system using geometry based normalizations and krawtchouk moments
S Padam Priyal and Prabin Kumar Bora · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Cited alongside, same era.
Residual conv-deconv grid network for semantic segmentation
Damien Fourure, Rémi Emonet, Elisa Fromont, Damien Muselet, Alain Tremeau, and Christian Wolf · 2017
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Aod-net: All-in-one dehazing network
Boyi Li, Xiulian Peng, Zhangyang Wang, Jizheng Xu, and Dan Feng · 2017
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Efficient single image dehazing and denoising: An efficient multi-scale correlated wavelet approach
Xin Liu, He Zhang, Yiu-ming Cheung, Xinge You, and Yuan Yan Tang · 2017
Later among the works it cites.
Efficient single image dehazing and denoising: An efficient multi-scale correlated wavelet approach
Xin Liu, He Zhang, Yiu-ming Cheung, Xinge You, and Yuan Yan Tang · 2017
Later among the works it cites.
Benchmarking single-image dehazing and beyond
Boyi Li, Wenqi Ren, Dengpan Fu, Dacheng Tao, Dan Feng, Wenjun Zeng, and Zhangyang Wang · 2018
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
Cited alongside, same era.
A fast single image haze removal algorithm using color attenuation prior
Qingsong Zhu, Jiaming Mai, and Ling Shao · 2015
Cited alongside, same era.
Non-local image dehazing
Dana Berman, Shai Avidan, et al · 2016
Cited alongside, same era.
Fully-convolutional siamese networks for object tracking
Luca Bertinetto, Jack Valmadre, Joao F Henriques, Andrea Vedaldi, and Philip HS Torr · 2016
Cited alongside, same era.
Dehazenet: An end-to-end system for single image haze removal
Bolun Cai, Xiangmin Xu, Kui Jia, Chunmei Qing, and Dacheng Tao · 2016
Cited alongside, same era.
On the selection of 2d krawtchouk moments for face recognition
SM Mahbubur Rahman, Tamanna Howlader, and Dimitrios Hatzinakos · 2016
Cited alongside, same era.
You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
Cited alongside, same era.
Gated fusion network for single image dehazing
Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, and Ming-Hsuan Yang · 2018
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Densely connected pyramid dehazing network
He Zhang and Vishal M Patel · 2018
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Ryf-net: Deep fusion network for single image haze removal
Akshay Dudhane and Subrahmanyam Murala · 2019
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
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Pdr-net: Perception-inspired single image dehazing network with refinement
Chongyi Li, Chunle Guo, Jichang Guo, Ping Han, Huazhu Fu, and Runmin Cong · 2020
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Radiance–reflectance combined optimization and structure-guided ℓ 0 \ell_{0} -norm for single image dehazing
Joongchol Shin, Minseo Kim, Joonki Paik, and Sangkeun Lee · 2020
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Deep energy: Task driven training of deep neural networks
Alona Golts, Daniel Freedman, and Michael Elad · 2021
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Msaff-net: Multiscale attention feature fusion networks for single image dehazing and beyond
Cunyi Lin, Xianwei Rong, and Xiaoyan Yu · 2022
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