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0709
BibRef
Earlier:
When Does a Camera See Rain?,
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IEEE DOI
0510
BibRef
Earlier:
Detection and removal of rain from videos,
CVPR04(I: 528-535).
IEEE DOI
0408
BibRef
Barnum, P.C.[Peter C.],
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IP(23), No. 3, March 2014, pp. 1097-1104.
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1403
filtering theory
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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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1502
Rain streaks
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1503
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Earlier:
Phase Congruency Based Technique for the Removal of Rain from Video,
ICIAR11(I: 30-39).
Springer DOI
1106
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You, S.[Shaodi],
Tan, R.T.[Robby T.],
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Mukaigawa, Y.[Yasuhiro],
Ikeuchi, K.[Katsushi],
Adherent Raindrop Modeling, Detection and Removal in Video,
PAMI(38), No. 9, September 2016, pp. 1721-1733.
IEEE DOI
1609
BibRef
Earlier:
Raindrop Detection and Removal from Long Range Trajectories,
ACCV14(II: 569-585).
Springer DOI
1504
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Earlier: A1, A2, A3, A5, Only:
Adherent Raindrop Detection and Removal in Video,
CVPR13(1035-1042)
IEEE DOI
1309
BibRef
Fu, X.,
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Ding, X.,
Liao, Y.,
Paisley, J.,
Clearing the Skies: A Deep Network Architecture for Single-Image Rain
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IP(26), No. 6, June 2017, pp. 2944-2956.
IEEE DOI
1705
Image enhancement, Linear programming, Machine learning, Rain,
Testing, Training, Rain removal, convolutional neural networks,
deep learning, image, enhancement
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Li, Y.,
Tan, R.T.,
Guo, X.,
Lu, J.,
Brown, M.S.,
Single Image Rain Streak Decomposition Using Layer Priors,
IP(26), No. 8, August 2017, pp. 3874-3885.
IEEE DOI
1707
BibRef
Earlier:
Rain Streak Removal Using Layer Priors,
CVPR16(2736-2744)
IEEE DOI
1612
Gaussian processes, image reconstruction, mixture models,
Gaussian mixture models, computer vision, dictionary learning,
image analysis systems, layer priors,
rain streak free background scene,
rain streak removal algorithms, rain streaks impair visibility,
single image rain streak decomposition,
structure residue recovery, Cameras, Computational modeling,
Dictionaries, Electronic mail, Histograms, Interference, Rain,
Gaussian mixture models, Rain removal, image decomposition,
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Wang, Y.,
Liu, S.,
Chen, C.,
Zeng, B.,
A Hierarchical Approach for Rain or Snow Removing in a Single Color
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IP(26), No. 8, August 2017, pp. 3936-3950.
IEEE DOI
1707
image classification, image colour analysis, image filtering, rain,
dictionary learning, guided filter, hierarchical approach,
variance sensitivity, visual quality, Atmospheric modeling,
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Convolutional Sparse and Low-Rank Coding-Based Image Decomposition,
IP(27), No. 5, May 2018, pp. 2121-2133.
IEEE DOI
1804
BibRef
Earlier:
Convolutional Sparse and Low-Rank Coding-Based Rain Streak Removal,
WACV17(1259-1267)
IEEE DOI
1609
BibRef
Earlier:
Convolutional Sparse Coding-based Image Decomposition,
BMVC16(xx-yy).
HTML Version.
1805
image coding, image representation, image texture,
learning (artificial intelligence), cartoon decomposition,
sparse coding.
Computer vision, Convolutional codes, Dictionaries, Image coding,
Optimization, Rain, Videos
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Du, S.L.[Shuang-Li],
Liu, Y.G.[Yi-Guang],
Ye, M.[Mao],
Xu, Z.Y.[Zhen-Yu],
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Elsevier DOI
1804
Rain removal, Gradient domain, Decomposition model
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DesnowNet: Context-Aware Deep Network for Snow Removal,
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IEEE DOI
1804
Atmospheric modeling, Feature extraction, Image color analysis,
Image restoration, Rain, Shape, Snow, Snow removal,
image restoration
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Tian, J.D.[Jian-Dong],
Han, Z.[Zhi],
Ren, W.H.[Wei-Hong],
Chen, X.[Xiai],
Tang, Y.D.[Yan-Dong],
Snowflake Removal for Videos via Global and Local Low-Rank
Decomposition,
MultMed(20), No. 10, October 2018, pp. 2659-2669.
IEEE DOI
1810
computer vision, feature extraction, image matching,
image motion analysis, image sequences, matrix decomposition,
low-rank decomposition
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Liu, J.,
Yang, W.,
Yang, S.,
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
Xiao, J.S.[Jin-Sheng],
Zou, W.T.[Wen-Tao],
Chen, Y.H.[Yun-Hua],
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Lei, J.F.[Jun-Feng],
Single image rain removal based on depth of field and sparse coding,
PRL(116), 2018, pp. 212-217.
Elsevier DOI
1812
Image rain removal, Depth of field, Sparse coding, Principal component analysis
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Koziarski, M.[Michal],
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Marine Snow Removal Using a Fully Convolutional 3D Neural Network
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1901
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
computer vision, gradient methods, rain, video signal processing,
rain-perpendicular direction, anisotropic spatial smoothness,
split augmented Lagrangian shrinkage algorithm (SALSA)
BibRef
Mu, P.,
Chen, J.,
Liu, R.,
Fan, X.,
Luo, Z.,
Learning Bilevel Layer Priors for Single Image Rain Streaks Removal,
SPLetters(26), No. 2, February 2019, pp. 307-311.
IEEE DOI
1902
filtering theory, image denoising, image enhancement,
image reconstruction, image representation, image restoration,
bilevel layer priors
BibRef
Wang, Y.T.[Ye-Tao],
Zhao, X.L.[Xi-Le],
Jiang, T.X.[Tai-Xiang],
Deng, L.J.[Liang-Jian],
Ma, T.H.[Tian-Hui],
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Huang, T.Z.[Ting-Zhu],
A total variation and group sparsity based tensor optimization model
for video rain streak removal,
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)
BibRef
Xiang, P.,
Wang, L.,
Wu, F.,
Cheng, J.,
Zhou, M.,
Single-Image De-Raining With Feature-Supervised Generative
Adversarial Network,
SPLetters(26), No. 5, May 2019, pp. 650-654.
IEEE DOI
1905
computer vision, learning (artificial intelligence), neural nets,
Single-Image De-Raining,
convolutional neural networks
BibRef
Yang, W.,
Liu, J.,
Yang, S.,
Guo, Z.,
Scale-Free Single Image Deraining Via Visibility-Enhanced Recurrent
Wavelet Learning,
IP(28), No. 6, June 2019, pp. 2948-2961.
IEEE DOI
1905
image representation, image restoration,
learning (artificial intelligence), rain, recurrent neural nets,
residual dense network
BibRef
Bahnsen, C.H.,
Moeslund, T.B.,
Rain Removal in Traffic Surveillance: Does it Matter?,
ITS(20), No. 8, August 2019, pp. 2802-2819.
IEEE DOI
1908
Rain, Snow, Surveillance, Cameras, Mathematical model,
Image segmentation, Rain removal, snow removal, image restoration,
road transportation
BibRef
Machot, F.A.[Fadi Al],
Ali, M.[Mouhannad],
Mosa, A.H.[Ahmad Haj],
Schwarzlmüller, C.[Christopher],
Gutmann, M.[Markus],
Kyamakya, K.[Kyandoghere],
Real-time raindrop detection based on cellular neural networks for ADAS,
RealTimeIP(16), No. 4, August 2019, pp. 931-943.
Springer DOI
1908
BibRef
Li, S.Y.[Si-Yuan],
Ren, W.Q.[Wen-Qi],
Zhang, J.W.[Jia-Wan],
Yu, J.[Jinke],
Guo, X.J.[Xiao-Jie],
Single image rain removal via a deep decomposition-composition
network,
CVIU(186), 2019, pp. 48-57.
Elsevier DOI
1908
BibRef
Tang, H.Z.[Hong-Zhong],
Zhu, L.[Ling],
Zhang, D.B.[Dong-Bo],
Wang, X.[Xiang],
Single Image Rain Removal Model Using Pure Rain Dictionary Learning,
IET-IPR(13), No. 10, 22 August 2019, pp. 1797-1804.
DOI Link
1909
BibRef
Wang, C.[Cong],
Zhang, M.[Man],
Su, Z.[Zhixun],
Wu, Y.[Yutong],
Yao, G.[Guangle],
Wang, H.Y.[Hong-Yan],
Learning a multi-level guided residual network for single image
deraining,
SP:IC(78), 2019, pp. 206-215.
Elsevier DOI
1909
Deraining, Convolutional neural network, Fusion connections,
Multi-level, Guided learning
BibRef
Ibrahim, M.R.[Mohamed R.],
Haworth, J.[James],
Cheng, T.[Tao],
WeatherNet: Recognising Weather and Visual Conditions from
Street-Level Images Using Deep Residual Learning,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Jayaraman, T.[Thiyagarajan],
Chinnusamy, G.S.[Gowri Shankar],
Investigation of filtering of rain streaks affected video sequences
under various quantisation parameter in HEVC encoder using an enhanced
V-BM4D algorithm,
IET-IPR(14), No. 2, February 2020, pp. 337-347.
DOI Link
2001
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Thiyagarajan, J.,
Shankar, C.G.[C. Gowri],
Quality improvement and performance analysis of High Efficiency Video
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SIViP(14), No. 2, March 2020, pp. 387-395.
WWW Link.
2003
BibRef
Yasarla, R.,
Patel, V.M.,
Confidence Measure Guided Single Image De-Raining,
IP(29), 2020, pp. 4544-4555.
IEEE DOI
2003
Rain, Distortion, Decoding, Task analysis, Distortion measurement,
Clustering algorithms, Training, Deraining,
image restoration
BibRef
Ren, W.,
Tian, J.,
Wang, Q.,
Tang, Y.,
Dually Connected Deraining Net Using Pixel-Wise Attention,
SPLetters(27), 2020, pp. 316-320.
IEEE DOI
2003
Image deraining, pixel-wise attention, encoder-decoder, skip connection
BibRef
Peng, J.[Jiayi],
Xu, Y.[Yong],
Chen, T.[Tianyi],
Huang, Y.[Yan],
Single-image raindrop removal using concurrent channel-spatial
attention and long-short skip connections,
PRL(131), 2020, pp. 121-127.
Elsevier DOI
2004
Image recovery, Raindrop removal, Deep nerual networks,
Attention, Skip connection
BibRef
Yasarla, R.[Rajeev],
Patel, V.M.[Vishal M.],
Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning
CNN for Single Image De-Raining,
CVPR19(8397-8406).
IEEE DOI
2002
BibRef
Yang, W.[Wenhan],
Liu, J.[Jiaying],
Feng, J.[Jiashi],
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow,
CVPR19(1661-1670).
IEEE DOI
2002
BibRef
Li, S.Y.[Si-Yuan],
Araujo, I.B.[Iago Breno],
Ren, W.Q.[Wen-Qi],
Wang, Z.Y.[Zhang-Yang],
Tokuda, E.K.[Eric K.],
Junior, R.H.[Roberto Hirata],
Cesar-Junior, R.[Roberto],
Zhang, J.[Jiawan],
Guo, X.[Xiaojie],
Cao, X.C.[Xiao-Chun],
Single Image Deraining: A Comprehensive Benchmark Analysis,
CVPR19(3833-3842).
IEEE DOI
2002
BibRef
Ren, D.[Dongwei],
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
Wang, T.[Tianyu],
Yang, X.[Xin],
Xu, K.[Ke],
Chen, S.[Shaozhe],
Zhang, Q.A.[Qi-Ang],
Lau, R.W.H.[Rynson W.H.],
Spatial Attentive Single-Image Deraining With a High Quality Real Rain
Dataset,
CVPR19(12262-12271).
IEEE DOI
2002
BibRef
Hu, X.W.[Xiao-Wei],
Fu, C.W.[Chi-Wing],
Zhu, L.[Lei],
Heng, P.A.[Pheng-Ann],
Depth-Attentional Features for Single-Image Rain Removal,
CVPR19(8014-8023).
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
Jin, X.,
Chen, Z.,
Lin, J.,
Chen, Z.,
Zhou, W.,
Unsupervised Single Image Deraining with Self-Supervised Constraints,
ICIP19(2761-2765)
IEEE DOI
1910
Unsupervised Deraining, self-supervised learning, unpaired training data
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
Wu, Q.,
Wang, L.,
Ngan, K.N.,
Li, H.,
Meng, F.,
Beyond Synthetic Data: A Blind Deraining Quality Assessment Metric
Towards Authentic Rain Image,
ICIP19(2364-2368)
IEEE DOI
1910
Authentic rain image, blind deraining quality assessment, bi-directional gated fusion network
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
Sharma, P.K.,
Jain, P.,
Sur, A.,
Dual-Domain Single Image De-Raining Using Conditional Generative
Adversarial Network,
ICIP19(2796-2800)
IEEE DOI
1910
Image De-raining,
Conditional Generative Adversarial Network (cGAN),
Deep Learning
BibRef
Wang, Y.,
Huang, T.,
Zhao, X.,
Deng, L.,
Jiang, T.,
Rain Streaks Removal for Single Image Via Directional Total Variation
Regularization,
ICIP19(2801-2805)
IEEE DOI
1910
Single-image rain streaks removal,
directional total variation (DTV), alternating direction method of multipliers
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, X.[Xia],
Wu, J.L.[Jian-Long],
Lin, Z.C.[Zhou-Chen],
Liu, H.[Hong],
Zha, H.B.[Hong-Bin],
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single
Image Deraining,
ECCV18(VII: 262-277).
Springer DOI
1810
BibRef
Li, R.[Ruoteng],
Tan, R.T.[Robby T.],
Cheong, L.F.[Loong-Fah],
Robust Optical Flow in Rainy Scenes,
ECCV18(XV: 299-317).
Springer DOI
1810
BibRef
Guo, T.,
Akcay, S.,
Adey, P.A.,
Breckon, T.P.,
On the Impact of Varying Region Proposal Strategies for Raindrop
Detection and Classification Using Convolutional Neural Networks,
ICIP18(3413-3417)
IEEE DOI
1809
Proposals, Computer architecture, Automotive engineering,
Feature extraction, Visualization, Sensors, Image color analysis,
CNN
BibRef
Matsui, T.,
Fujisawa, T.,
Yamaguchi, T.,
Ikehara, M.,
Single-Image Rain Removal Using Residual Deep Learning,
ICIP18(3928-3932)
IEEE DOI
1809
Rain, Training, Machine learning, Additives, Birds, Indexes,
Convolutional codes, Rain removal, deep learning,
batch normalization
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, computer vision, mixture models,
object detection, rain, video signal processing, Gaussians mixture,
Stochastic processes
BibRef
Zhu, L.[Lei],
Fu, C.W.[Chi-Wing],
Lischinski, D.[Dani],
Heng, P.A.[Pheng-Ann],
Joint Bi-layer Optimization for Single-Image Rain Streak Removal,
ICCV17(2545-2553)
IEEE DOI
1802
computer vision, image denoising, image reconstruction,
image restoration, optimisation, rain, Joint Bi-layer Optimization,
Visualization
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
Ren, W.,
Tian, J.,
Han, Z.,
Chan, A.,
Tang, Y.,
Video Desnowing and Deraining Based on Matrix Decomposition,
CVPR17(2838-2847)
IEEE DOI
1711
Matrix decomposition, Rain, Shape, Snow, Sparse matrices, Strain, Video,
sequences
BibRef
Fu, X.Y.[Xue-Yang],
Huang, J.B.[Jia-Bin],
Zeng, D.L.[De-Lu],
Huang, Y.[Yue],
Ding, X.H.[Xing-Hao],
Paisley, J.[John],
Removing Rain from Single Images via a Deep Detail Network,
CVPR17(1715-1723)
IEEE DOI
1711
Histograms, Image coding, Network architecture, Neural networks,
Rain, Training
BibRef
Qian, R.,
Tan, R.T.,
Yang, W.,
Su, J.,
Liu, J.,
Attentive Generative Adversarial Network for Raindrop Removal from A
Single Image,
CVPR18(2482-2491)
IEEE DOI
1812
Rain, Visualization, Generative adversarial networks, Lenses, Shape,
Glass, Cameras
BibRef
Yang, W.,
Tan, R.T.,
Feng, J.,
Liu, J.,
Guo, Z.,
Yan, S.,
Deep Joint Rain Detection and Removal from a Single Image,
CVPR17(1685-1694)
IEEE DOI
1711
Atmospheric modeling, Feature extraction,
Image restoration, Machine learning, Rain, Shape
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
Zhang, Z.[Zheng],
Xu, Y.[Yi],
Wang, H.[He],
Ni, B.B.[Bing-Bing],
Xu, H.T.[Hong-Teng],
Single-Image Rain Removal Via Multi-Scale Cascading Image Generation,
ICIP19(2771-2775)
IEEE DOI
1910
Single-image de-raining, multi-scale, cascading image generation
BibRef
Luo, Y.,
Xu, Y.,
Ji, H.,
Removing Rain from a Single Image via Discriminative Sparse Coding,
ICCV15(3397-3405)
IEEE DOI
1602
Dictionaries
BibRef
Chen, Q.B.[Qiao-Bo],
Xu, Y.[Yi],
Ni, B.B.[Bing-Bing],
Shen, Z.[Zan],
Yang, X.K.[Xiao-Kang],
Rain removal via residual generation cascading,
VCIP17(1-4)
IEEE DOI
1804
filtering theory, image denoising, neural nets, rain,
Laplacian pyramid, conditional generative adversarial nets,
Visualization
BibRef
Wang, Y.,
Chen, C.,
Zhu, S.,
Zeng, B.,
A framework of single-image deraining method based on analysis of
rain characteristics,
ICIP16(4087-4091)
IEEE DOI
1610
Color
BibRef
Fouad, E.[Elhassouni],
Salma, A.[Alami],
Abdelhak, E.[Ezzine],
Modelisation of Raindrops Based on Declivity Principle,
CGiV16(249-252)
IEEE DOI
1608
automotive components
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
Webster, D.D.[Dereck D.],
Breckon, T.P.[Toby P.],
Improved raindrop detection using combined shape and saliency
descriptors with scene context isolation,
ICIP15(4376-4380)
IEEE DOI
1512
all-weather computer vision
BibRef
Sun, S.H.[Shao-Hua],
Fan, S.P.[Shang-Pu],
Wang, Y.C.F.[Yu-Chiang Frank],
Exploiting image structural similarity for single image rain removal,
ICIP14(4482-4486)
IEEE DOI
1502
Dictionaries
BibRef
Kim, J.H.[Jin-Hwan],
Sim, J.Y.[Jae-Young],
Kim, C.S.[Chang-Su],
Stereo video deraining and desnowing based on spatiotemporal frame
warping,
ICIP14(5432-5436)
IEEE DOI
1502
Estimation
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
Kim, J.H.[Jin-Hwan],
Lee, C.[Chul],
Sim, J.Y.[Jae-Young],
Kim, C.S.[Chang-Su],
Single-image deraining using an adaptive nonlocal means filter,
ICIP13(914-917)
IEEE DOI
1402
Clustering algorithms
BibRef
Nashashibi, F.,
de Charrette, R.,
Lia, A.,
Detection of unfocused raindrops on a windscreen using low level image
processing,
ICARCV10(1410-1415).
IEEE DOI
1109
BibRef
Desvignes, M.[Michel],
Molinie, G.[Gilles],
Raindrops size from video and image processing,
ICIP12(1341-1344).
IEEE DOI
1302
BibRef
Wu, Q.[Qi],
Zhang, W.[Wende],
Kumar, B.V.K.V.[B.V.K. Vijaya],
Raindrop detection and removal using salient visual features,
ICIP12(941-944).
IEEE DOI
1302
BibRef
Roser, M.[Martin],
Geiger, A.[Andreas],
Video-based raindrop detection for improved image registration,
ObjectEvent09(570-577).
IEEE DOI
0910
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
Haze, Dehazing, Color Correction .