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When Does a Camera See Rain?,
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Earlier:
Detection and removal of rain from videos,
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A Rain Pixel Recovery Algorithm for Videos With Highly Dynamic Scenes,
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1403
filtering theory
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Visual Depth Guided Color Image Rain Streaks Removal Using Sparse
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CirSysVideo(24), No. 8, August 2014, pp. 1430-1455.
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1410
eigenvalues and eigenfunctions
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Rain streaks
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Utilizing Local Phase Information to Remove Rain from Video,
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1503
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Phase Congruency Based Technique for the Removal of Rain from Video,
ICIAR11(I: 30-39).
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Lin, H.,
Li, Y.,
Fu, X.Y.[Xue-Yang],
Ding, X.H.[Xing-Hao],
Huang, Y.[Yue],
Paisley, J.[John],
Rain O'er Me: Synthesizing Real Rain to Derain With Data Distillation,
IP(29), 2020, pp. 7668-7680.
IEEE DOI
2007
Image deraining, deep learning, unpaired data, image filter
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Fu, X.Y.[Xue-Yang],
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1804
BibRef
Earlier:
Convolutional Sparse and Low-Rank Coding-Based Rain Streak Removal,
WACV17(1259-1267)
IEEE DOI
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BibRef
Earlier:
Convolutional Sparse Coding-based Image Decomposition,
BMVC16(xx-yy).
HTML Version.
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image coding, image representation, image texture,
learning (artificial intelligence), cartoon decomposition,
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Convolutional codes, Dictionaries, Image coding,
Optimization, Rain, Videos
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Yang, W.,
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Guo, Z.,
D3R-Net: Dynamic Routing Residue Recurrent Network for Video Rain
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IP(28), No. 2, February 2019, pp. 699-712.
IEEE DOI
1811
image fusion, image motion analysis, image segmentation,
image sequences, object detection, rain, video signal processing,
recurrent neural network
BibRef
Jiang, T.,
Huang, T.,
Zhao, X.,
Deng, L.,
Wang, Y.,
FastDeRain: A Novel Video Rain Streak Removal Method Using
Directional Gradient Priors,
IP(28), No. 4, April 2019, pp. 2089-2102.
IEEE DOI
1901
gradient methods, rain, video signal processing,
rain-perpendicular direction, anisotropic spatial smoothness,
split augmented Lagrangian shrinkage algorithm (SALSA)
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Wang, Y.T.[Ye-Tao],
Zhao, X.L.[Xi-Le],
Jiang, T.X.[Tai-Xiang],
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Huang, T.Z.[Ting-Zhu],
A total variation and group sparsity based tensor optimization model
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SP:IC(73), 2019, pp. 96-108.
Elsevier DOI
1904
Video rain streak removal, Group sparsity,
Unidirectional total variation (UTV),
Alternating direction method of multipliers (ADMM)
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Ibrahim, M.R.[Mohamed R.],
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DOI Link
2001
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Thiyagarajan, J.,
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Ren, W.,
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Tang, Y.,
Dually Connected Deraining Net Using Pixel-Wise Attention,
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IEEE DOI
2003
Image deraining, pixel-wise attention, encoder-decoder, skip connection
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Du, Y.,
Xu, J.,
Zhen, X.,
Cheng, M.,
Shao, L.,
Conditional Variational Image Deraining,
IP(29), 2020, pp. 6288-6301.
IEEE DOI
2005
Rain, Estimation, Optimization, Learning systems,
Image color analysis, Decoding, Channel estimation,
channel-wise deraining
BibRef
Liu, D.S.M.[Damon Shing-Min],
Chen, Y.J.[Yi-Jhih],
Rain removal system for dynamic scene in diminished reality,
SIViP(14), No. 5, July 2020, pp. 945-953.
Springer DOI
2006
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Yang, W.,
Wang, S.,
Liu, J.,
Removing Arbitrary-Scale Rain Streaks via Fractal Band Learning With
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IP(29), 2020, pp. 6759-6772.
IEEE DOI
2007
Rain, Feature extraction, Training, Machine learning,
Biological system modeling, Fractals, Degradation,
deep network
BibRef
Zhang, H.[He],
Sindagi, V.[Vishwanath],
Patel, V.M.[Vishal M.],
Image De-Raining Using a Conditional Generative Adversarial Network,
CirSysVideo(30), No. 11, November 2020, pp. 3943-3956.
IEEE DOI
2011
Rain, Visualization, Generators, Generative adversarial networks,
Task analysis, Training, Generative adversarial network,
perceptual loss
BibRef
Baiju, P.S.,
Jayan, P.D.[P. Deepak],
George, S.N.[Sudhish N.],
Tensor total variation regularised low-rank approximation framework for
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IET-IPR(14), No. 14, December 2020, pp. 3602-3612.
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Di, S.,
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Elezovikj, S.,
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Ling, H.,
Rainy Night Scene Understanding With Near Scene Semantic Adaptation,
ITS(22), No. 3, March 2021, pp. 1594-1602.
IEEE DOI
2103
Image segmentation, Semantics, Adaptation models, Lighting,
Meteorology, Training, Bridges, Traffic scene understanding,
vehicle environment perception
BibRef
Xu, W.[Wei],
Qiu, S.[Song],
Huang, K.Y.[Kun-Yao],
Liu, W.[Wei],
Zuo, J.Z.[Jun-Zhe],
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Image deraining with Adversarial Residual Refinement Network,
JVCIR(77), 2021, pp. 103133.
Elsevier DOI
2106
Image deraining, Deep learning, GAN
BibRef
Feng, X.[Xin],
Pei, W.J.[Wen-Jie],
Jia, Z.[Zihui],
Chen, F.L.[Fang-Lin],
Zhang, D.[David],
Lu, G.M.[Guang-Ming],
Deep-Masking Generative Network: A Unified Framework for Background
Restoration From Superimposed Images,
IP(30), 2021, pp. 4867-4882.
IEEE DOI
2106
Image restoration, Task analysis, Rain, Atmospheric modeling,
Scattering, Data models, Predictive models,
residual deep-masking cell
BibRef
Yasarla, R.[Rajeev],
Sindagi, V.A.[Vishwanath A.],
Patel, V.M.[Vishal M.],
Semi-Supervised Image Deraining Using Gaussian Processes,
IP(30), 2021, pp. 6570-6582.
IEEE DOI
2108
BibRef
Earlier:
Syn2Real Transfer Learning for Image Deraining Using Gaussian
Processes,
CVPR20(2723-2733)
IEEE DOI
2008
Rain, Training, Data models, Computational modeling, Uncertainty,
Training data, Predictive models, Deraining, rainy image,
real-world data.
Semisupervised learning,
Predictive models, Gaussian processes, Image reconstruction
BibRef
Tang, Q.F.[Qun-Fang],
Yang, J.[Jie],
Liu, H.B.[Hai-Bo],
Guo, Z.Q.[Zhi-Qiang],
A Modified Syn2real Network for Nighttime Rainy Image Restoration,
ISVC20(II:344-356).
Springer DOI
2103
BibRef
Jiang, K.[Kui],
Wang, Z.Y.[Zhong-Yuan],
Yi, P.[Peng],
Chen, C.[Chen],
Wang, Z.[Zheng],
Wang, X.[Xiao],
Jiang, J.J.[Jun-Jun],
Lin, C.W.[Chia-Wen],
Rain-Free and Residue Hand-in-Hand:
A Progressive Coupled Network for Real-Time Image Deraining,
IP(30), 2021, pp. 7404-7418.
IEEE DOI
2109
Rain, Customer relationship management, Feature extraction,
Computational modeling, Task analysis, Image restoration,
attention mechanism
BibRef
Zhang, K.H.[Kai-Hao],
Li, D.X.[Dong-Xu],
Luo, W.H.[Wen-Han],
Ren, W.Q.[Wen-Qi],
Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop
Removal,
IP(30), 2021, pp. 7608-7619.
IEEE DOI
2109
Rain, Dams, Task analysis, Image restoration, Shape, Deep learning,
Object detection, Rain streaks, raindrops, joint deraining,
differential-driven module
BibRef
Jiang, K.[Kui],
Wang, Z.Y.[Zhong-Yuan],
Yi, P.[Peng],
Chen, C.[Chen],
Han, Z.[Zhen],
Lu, T.[Tao],
Huang, B.J.[Bao-Jin],
Jiang, J.J.[Jun-Jun],
Decomposition Makes Better Rain Removal: An Improved Attention-Guided
Deraining Network,
CirSysVideo(31), No. 10, October 2021, pp. 3981-3995.
IEEE DOI
2110
Rain, Task analysis, Image restoration, Estimation, Correlation,
Neural networks, Deep learning, Image deraining,
non-local network
BibRef
Zhuang, J.H.[Jun-Hao],
Luo, Y.S.[Yi-Si],
Zhao, X.L.[Xi-Le],
Jiang, T.X.[Tai-Xiang],
Reconciling Hand-Crafted and Self-Supervised Deep Priors for Video
Directional Rain Streaks Removal,
SPLetters(28), 2021, pp. 2147-2151.
IEEE DOI
2112
Rain, Tensors, Training, Kernel, Convolutional neural networks,
Training data, Solid modeling, Video deraining,
self-supervised deep prior
BibRef
Mu, P.[Pan],
Liu, Z.[Zhu],
Liu, Y.[Yaohua],
Liu, R.[Risheng],
Fan, X.[Xin],
Triple-Level Model Inferred Collaborative Network Architecture for
Video Deraining,
IP(31), 2022, pp. 239-250.
IEEE DOI
2112
Rain, Task analysis, Optimization, Network architecture,
Computer architecture, Microscopy, DNA, Video deraining,
neural architecture search
BibRef
Du, S.[Shuangli],
Liu, Y.G.[Yi-Guang],
Zhao, M.H.[Ming-Hua],
Shi, Z.H.[Zheng-Hao],
You, Z.[Zhenzhen],
Li, J.[Jie],
A comprehensive survey: Image deraining and stereo-matching
task-driven performance analysis,
IET-IPR(16), No. 1, 2022, pp. 11-28.
DOI Link
2112
BibRef
Jiang, K.[Kui],
Wang, Z.Y.[Zhong-Yuan],
Yi, P.[Peng],
Chen, C.[Chen],
Wang, Z.[Zheng],
Lin, C.W.[Chia-Wen],
PCNET: Progressive Coupled Network for Real-Time Image Deraining,
ICIP21(1759-1763)
IEEE DOI
2201
Rain, Correlation, Computational modeling, Memory management,
Customer relationship management, Real-time systems,
Coupled representation
BibRef
Ye, Y.T.[Yun-Tong],
Chang, Y.[Yi],
Zhou, H.[Hanyu],
Yan, L.X.[Lu-Xin],
Closing the Loop: Joint Rain Generation and Removal via Disentangled
Image Translation,
CVPR21(2053-2062)
IEEE DOI
2111
Rain, Pattern recognition
BibRef
Wang, H.[Hong],
Yue, Z.[Zongsheng],
Xie, Q.[Qi],
Zhao, Q.[Qian],
Zheng, Y.F.[Ye-Feng],
Meng, D.Y.[De-Yu],
From Rain Generation to Rain Removal,
CVPR21(14786-14796)
IEEE DOI
2111
Training, Deep learning, Rain, Statistical distributions,
Benchmark testing, Generators, Robustness
BibRef
Yue, Z.S.[Zong-Sheng],
Xie, J.W.[Jian-Wen],
Zhao, Q.[Qian],
Meng, D.Y.[De-Yu],
Semi-Supervised Video Deraining with Dynamical Rain Generator,
CVPR21(642-652)
IEEE DOI
2111
Deep learning, Visualization, Rain,
Monte Carlo methods, Heuristic algorithms, Training data
BibRef
Huang, H.[Huaibo],
Yu, A.[Aijing],
He, R.[Ran],
Memory Oriented Transfer Learning for Semi-Supervised Image Deraining,
CVPR21(7728-7737)
IEEE DOI
2111
Degradation, Rain, Transfer learning, Neural networks, Training data,
Memory modules, Pattern recognition
BibRef
Ni, S.[Siqi],
Cao, X.Y.[Xue-Yun],
Yue, T.[Tao],
Hu, X.M.[Xue-Mei],
Controlling the Rain: from Removal to Rendering,
CVPR21(6324-6333)
IEEE DOI
2111
Interpolation, Rain, Aerospace electronics,
Rendering (computer graphics), Feature extraction, Pattern recognition
BibRef
Zheng, Z.Q.[Zi-Qiang],
Wu, Y.[Yang],
Han, X.[Xinran],
Shi, J.B.[Jian-Bo],
Forkgan: Seeing into the Rainy Night,
ECCV20(III:155-170).
Springer DOI
2012
BibRef
Wang, Y.L.[Ying-Long],
Song, Y.B.[Yi-Bing],
Ma, C.[Chao],
Zeng, B.[Bing],
Rethinking Image Deraining via Rain Streaks and Vapors,
ECCV20(XVII:367-382).
Springer DOI
2011
BibRef
Zhang, K.H.[Kai-Hao],
Luo, W.H.[Wen-Han],
Ren, W.Q.[Wen-Qi],
Wang, J.W.[Jing-Wen],
Zhao, F.[Fang],
Ma, L.[Lin],
Li, H.D.[Hong-Dong],
Beyond Monocular Deraining:
Stereo Image Deraining via Semantic Understanding,
ECCV20(XXVII:71-89).
Springer DOI
2011
BibRef
Sindagi, V.A.[Vishwanath A.],
Oza, P.[Poojan],
Yasarla, R.[Rajeev],
Patel, V.M.[Vishal M.],
Prior-based Domain Adaptive Object Detection for Hazy and Rainy
Conditions,
ECCV20(XIV:763-780).
Springer DOI
2011
BibRef
Deng, S.,
Wei, M.,
Wang, J.,
Feng, Y.,
Liang, L.,
Xie, H.,
Wang, F.L.,
Wang, M.,
Detail-recovery Image Deraining via Context Aggregation Networks,
CVPR20(14548-14557)
IEEE DOI
2008
Rain, Maintenance engineering, Task analysis, Degradation, Training,
Feature extraction, Visualization
BibRef
Yang, W.,
Tan, R.T.,
Wang, S.,
Liu, J.,
Self-Learning Video Rain Streak Removal: When Cyclic Consistency
Meets Temporal Correspondence,
CVPR20(1717-1726)
IEEE DOI
2008
Rain, Correlation, Feature extraction, Training, Encoding,
Motion estimation, Degradation
BibRef
Du, Y.,
Xu, J.,
Qiu, Q.,
Zhen, X.,
Zhang, L.,
Variational Image Deraining,
WACV20(2395-2404)
IEEE DOI
2006
Rain, Task analysis, Image color analysis, Estimation, Decoding,
Image reconstruction, Monte Carlo methods
BibRef
Halder, S.,
Lalonde, J.,
Charette, R.D.,
Physics-Based Rendering for Improving Robustness to Rain,
ICCV19(10202-10211)
IEEE DOI
2004
image segmentation, natural scenes, object detection, photometry,
rain, realistic images, rendering (computer graphics),
Databases
BibRef
Li, R.,
Tan, R.,
Cheong, L.F.,
Aviles-Rivero, A.I.,
Fan, Q.,
Schoenlieb, C.B.,
RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect,
ICCV19(7303-7312)
IEEE DOI
2004
geophysical image processing, neural nets, rain, rain streaks,
rain veiling effect, heavy rainy scenes,
Optical sensors
BibRef
Islam, M.R.[Muhammad Rafiqul],
Paul, M.[Manoranjan],
Antolovich, M.[Michael],
Rain Streak Removal with Well-recovered Moving Objects from Video
Sequences Using Photometric Correlation,
PSIVT19(3-13).
Springer DOI
2003
BibRef
Yang, W.H.[Wen-Han],
Liu, J.Y.[Jia-Ying],
Feng, J.S.[Jia-Shi],
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow,
CVPR19(1661-1670).
IEEE DOI
2002
BibRef
Ren, D.W.[Dong-Wei],
Zuo, W.M.[Wang-Meng],
Hu, Q.H.[Qing-Hua],
Zhu, P.F.[Peng-Fei],
Meng, D.Y.[De-Yu],
Progressive Image Deraining Networks: A Better and Simpler Baseline,
CVPR19(3932-3941).
IEEE DOI
2002
BibRef
Wei, W.[Wei],
Meng, D.Y.[De-Yu],
Zhao, Q.[Qian],
Xu, Z.B.[Zong-Ben],
Wu, Y.[Ying],
Semi-Supervised Transfer Learning for Image Rain Removal,
CVPR19(3872-3881).
IEEE DOI
2002
BibRef
Li, R.[Ruoteng],
Cheong, L.F.[Loong-Fah],
Tan, R.T.[Robby T.],
Heavy Rain Image Restoration: Integrating Physics Model and Conditional
Adversarial Learning,
CVPR19(1633-1642).
IEEE DOI
2002
BibRef
Jost, U.[Uriel],
Bormann, R.[Richard],
Water Streak Detection with Convolutional Neural Networks for Scrubber
Dryers,
CVS19(259-273).
Springer DOI
1912
BibRef
Cai, L.,
Li, S.,
Ren, D.,
Wang, P.,
Dual Recursive Network for Fast Image Deraining,
ICIP19(2756-2760)
IEEE DOI
1910
Image deraining, deep learning, recursive computation
BibRef
Zheng, Q.,
Shi, B.,
Jiang, X.,
Duan, L.,
Kot, A.C.,
Denoising Adversarial Networks for Rain Removal and Reflection
Removal,
ICIP19(2766-2770)
IEEE DOI
1910
Rain Streak Removal, Reflection Removal, Adversarial Learning, Deep Learning
BibRef
Liu, H.,
Ye, H.,
Li, X.,
Shi, W.,
Liu, M.,
Sun, Q.,
Self-Refining Deep Symmetry Enhanced Network for Rain Removal,
ICIP19(2786-2790)
IEEE DOI
1910
Image Restoration, Rotation Equivariance, CNN
BibRef
Gao, X.,
Mao, J.,
Yu, H.,
Yu, L.,
End-To-End Convolutional Network for Video Rain Streaks Removal,
ICIP19(2791-2795)
IEEE DOI
1910
rain streaks removal, convolutional network, end-to-end,
dense block, motion compensation
BibRef
Mondal, R.[Ranjan],
Purkait, P.[Pulak],
Santra, S.[Sanchayan],
Chanda, B.[Bhabatosh],
Morphological Networks for Image De-Raining,
DGCI19(262-275).
Springer DOI
1905
BibRef
Tang, L.M.[Lai Meng],
Lim, L.H.[Li Hong],
Siebert, P.[Paul],
Removal of Visual Disruption Caused by Rain Using Cycle-Consistent
Generative Adversarial Networks,
AutoNUE18(V:551-566).
Springer DOI
1905
BibRef
Liu, J.,
Yang, W.,
Yang, S.,
Guo, Z.,
Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction
in Videos,
CVPR18(3233-3242)
IEEE DOI
1812
Rain, Videos, Adaptation models, Degradation, Image reconstruction,
Additives, Redundancy
BibRef
Chen, J.,
Tan, C.,
Hou, J.,
Chau, L.,
Li, H.,
Robust Video Content Alignment and Compensation for Rain Removal in a
CNN Framework,
CVPR18(6286-6295)
IEEE DOI
1812
Rain, Cameras, Visualization, Heuristic algorithms, Streaming media
BibRef
Li, M.,
Xie, Q.,
Zhao, Q.,
Wei, W.,
Gu, S.,
Tao, J.,
Meng, D.,
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding,
CVPR18(6644-6653)
IEEE DOI
1812
Rain, Convolutional codes, Encoding, Task analysis, Shape,
Cameras, Feature extraction
BibRef
Lei, J.,
Zhang, S.,
Zou, W.,
Xiao, J.,
Chen, Y.,
Sui, H.,
An Image Rain Removal algorithm based on the depth of field and
sparse coding,
ICPR18(2368-2373)
IEEE DOI
1812
Rain, Dictionaries, Hafnium, Principal component analysis,
Clustering algorithms, Image decomposition
BibRef
Li, R.T.[Ruo-Teng],
Tan, R.T.[Robby T.],
Cheong, L.F.[Loong-Fah],
Robust Optical Flow in Rainy Scenes,
ECCV18(XV: 299-317).
Springer DOI
1810
BibRef
Wei, W.,
Yi, L.,
Xie, Q.,
Zhao, Q.,
Meng, D.,
Xu, Z.,
Should We Encode Rain Streaks in Video as Deterministic or
Stochastic?,
ICCV17(2535-2544)
IEEE DOI
1802
Gaussian processes, mixture models,
object detection, rain, video signal processing, Gaussians mixture,
Stochastic processes
BibRef
Jiang, T.X.,
Huang, T.Z.,
Zhao, X.L.,
Deng, L.J.,
Wang, Y.,
A Novel Tensor-Based Video Rain Streaks Removal Approach via
Utilizing Discriminatively Intrinsic Priors,
CVPR17(2818-2827)
IEEE DOI
1711
Cameras, Correlation, Machine learning, Rain, TV,
Tensile, stress
BibRef
Arimasa, T.[Taichi],
Yoshida, H.[Hiromi],
Iiguni, Y.[Yoji],
Detection of view-disturbing noise by using time-axial clustering in
spatio-temporal image,
MVA17(278-281)
DOI Link
1708
e.g. rain and other problems.
Automobiles, Cameras, Glass, Image color analysis, Noise measurement,
Organizations, Surveillance
BibRef
Tadano, R.,
Pediredla, A.K.,
Veeraraghavan, A.,
Depth Selective Camera: A Direct, On-Chip, Programmable Technique for
Depth Selectivity in Photography,
ICCV15(3595-3603)
IEEE DOI
1602
Cameras, Light sources, Lighting, Modulation, Rain, Scattering
BibRef
Chen, Y.L.[Yi-Lei],
Hsu, C.T.[Chiou-Ting],
A Generalized Low-Rank Appearance Model for Spatio-temporally
Correlated Rain Streaks,
ICCV13(1968-1975)
IEEE DOI
1403
BibRef
Eigen, D.[David],
Krishnan, D.[Dilip],
Fergus, R.[Rob],
Restoring an Image Taken through a Window Covered with Dirt or Rain,
ICCV13(633-640)
IEEE DOI
1403
BibRef
Brewer, N.[Nathan],
Liu, N.J.[Nian-Jun],
Using the Shape Characteristics of Rain to Identify and Remove Rain
from Video,
SSPR08(451-458).
Springer DOI
0812
BibRef
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Single Image Rain Removal, Color Correction .