Kang, L.W.,
Lin, C.W.,
Fu, Y.H.,
Automatic Single-Image-Based Rain Streaks Removal via Image
Decomposition,
IP(21), No. 4, April 2012, pp. 1742-1755.
IEEE DOI
1204
BibRef
Fu, X.Y.[Xue-Yang],
Huang, J.B.[Jia-Bin],
Ding, X.H.[Xing-Hao],
Liao, Y.,
Paisley, J.[John],
Clearing the Skies: A Deep Network Architecture for Single-Image Rain
Removal,
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
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
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, 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, Histograms, Interference, Rain,
Gaussian mixture models, Rain removal, image decomposition,
image prior, visibility recovery.
BibRef
Du, S.L.[Shuang-Li],
Liu, Y.G.[Yi-Guang],
Ye, M.[Mao],
Xu, Z.Y.[Zhen-Yu],
Li, J.[Jie],
Liu, J.G.[Jian-Guo],
Single image deraining via decorrelating the rain streaks and
background scene in gradient domain,
PR(79), 2018, pp. 303-317.
Elsevier DOI
1804
Rain removal, Gradient domain, Decomposition model
BibRef
Xiao, J.S.[Jin-Sheng],
Zou, W.T.[Wen-Tao],
Chen, Y.H.[Yun-Hua],
Wang, W.[Wen],
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
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
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
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
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
Wang, Q.[Qiong],
Jiang, K.[Kui],
Wang, Z.[Zheng],
Ren, W.Q.[Wen-Qi],
Zhang, J.H.[Jian-Hui],
Lin, C.W.[Chia-Wen],
Multi-Scale Fusion and Decomposition Network for Single Image
Deraining,
IP(33), 2024, pp. 191-204.
IEEE DOI Code:
WWW Link.
2312
BibRef
Jiang, K.[Kui],
Wang, Z.Y.[Zhong-Yuan],
Yi, P.[Peng],
Chen, C.[Chen],
Huang, B.J.[Bao-Jin],
Luo, Y.M.[Yi-Min],
Ma, J.Y.[Jia-Yi],
Jiang, J.J.[Jun-Jun],
Multi-Scale Progressive Fusion Network for Single Image Deraining,
CVPR20(8343-8352)
IEEE DOI
2008
Rain, Task analysis, Image reconstruction, Feature extraction,
Correlation, Image resolution, Image segmentation
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.X.[Zhi-Xun],
Wu, Y.T.[Yu-Tong],
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
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
Mi, Z.T.[Ze-Tian],
Wang, Y.F.[Ya-Fei],
Zhao, C.C.[Cong-Cong],
Du, F.M.[Feng-Ming],
Fu, X.P.[Xian-Ping],
Joint rain and atmospheric veil removal from single image,
IET-IPR(14), No. 6, 11 May 2020, pp. 1150-1156.
DOI Link
2005
BibRef
Jin, X.[Xin],
Chen, Z.B.[Zhi-Bo],
Li, W.P.[Wei-Ping],
AI-GAN: Asynchronous interactive generative adversarial network for
single image rain removal,
PR(100), 2020, pp. 107143.
Elsevier DOI
2005
Feature-wise disentanglement, Asynchronous and interactive,
Single image deraining, Complementary adversarial training
BibRef
Wang, M.H.[Mei-Hua],
Chen, L.B.[Lun-Bao],
Liang, Y.[Yun],
Hao, Y.X.[Yue-Xing],
He, H.J.[Hai-Jun],
Li, C.[Chao],
Single image rain removal with reusing original input
squeeze-and-excitation network,
IET-IPR(14), No. 8, 19 June 2020, pp. 1467-1474.
DOI Link
2005
BibRef
Ren, D.,
Shang, W.,
Zhu, P.,
Hu, Q.,
Meng, D.,
Zuo, W.,
Single Image Deraining Using Bilateral Recurrent Network,
IP(29), 2020, pp. 6852-6863.
IEEE DOI
2007
Rain, Convolutional neural networks, Feature extraction,
Machine learning, Task analysis, Degradation,
LSTM
BibRef
Cho, J.[Jaehoon],
Kim, S.[Seungryong],
Min, D.,
Sohn, K.H.[Kwang-Hoon],
Single Image Deraining Using Time-Lapse Data,
IP(29), 2020, pp. 7274-7289.
IEEE DOI
2007
Rain, Training data, Task analysis, Convolutional neural networks,
Rendering (computer graphics), Training, Feature extraction,
dynamic fusion module
BibRef
Cho, J.[Jaehoon],
Kim, S.[Seungryong],
Sohn, K.H.[Kwang-Hoon],
Memory-Guided Image De-Raining Using Time-Lapse Data,
IP(31), 2022, pp. 4090-4103.
IEEE DOI
2206
Rain, Training, Network architecture, Feature extraction,
Neural networks, Shape, Task analysis,
time-lapse data
See also Simultaneous Deep Stereo Matching and Dehazing with Feature Attention.
BibRef
Wang, G.,
Sun, C.,
Sowmya, A.,
Cascaded Attention Guidance Network for Single Rainy Image
Restoration,
IP(29), 2020, pp. 9190-9203.
IEEE DOI
2010
Rain, Semantics, Task analysis, Uncertainty, Australia, Decoding,
Learning systems, Image de-raining, cascaded attention guidance,
uncertainty map
BibRef
Wang, G.,
Sun, C.,
Sowmya, A.,
Attentive Feature Refinement Network for Single Rainy Image
Restoration,
IP(30), 2021, pp. 3734-3747.
IEEE DOI
2104
Task analysis, Rain, Image restoration, Sun, Computer science,
Australia, Optimization, Image deraining, coarse-to-fine framework,
knowledge distillation
BibRef
Lin, C.Y.,
Tao, Z.,
Xu, A.S.,
Kang, L.W.,
Akhyar, F.,
Sequential Dual Attention Network for Rain Streak Removal in a Single
Image,
IP(29), 2020, pp. 9250-9265.
IEEE DOI
2010
Rain, Feature extraction, Machine learning, Visualization,
Convolution, Dictionaries, Snow, Single image rain streaks removal,
deep learning
BibRef
Wu, Q.B.[Qing-Bo],
Wang, L.[Lei],
Ngan, K.N.[King Ngi],
Li, H.L.[Hong-Liang],
Meng, F.M.[Fan-Man],
Xu, L.F.[Lin-Feng],
Subjective and Objective De-Raining Quality Assessment Towards
Authentic Rain Image,
CirSysVideo(30), No. 11, November 2020, pp. 3883-3897.
IEEE DOI
2011
BibRef
Earlier: A1, A2, A3, A4, A5, Only:
Beyond Synthetic Data: A Blind Deraining Quality Assessment Metric
Towards Authentic Rain Image,
ICIP19(2364-2368)
IEEE DOI
1910
Rain, Databases, Quality assessment, Task analysis, Visualization,
Training, Neural networks, Single image de-raining,
de-raining quality assessment.
Authentic rain image, blind deraining quality assessment,
bi-directional gated fusion network
BibRef
Jiang, N.F.[Nan-Feng],
Chen, W.L.[Wei-Ling],
Lin, L.Q.[Li-Qun],
Zhao, T.S.[Tie-Song],
Single image rain removal via multi-module deep grid network,
CVIU(202), 2021, pp. 103106.
Elsevier DOI
2012
BibRef
Jiang, N.F.[Nan-Feng],
Luo, J.W.[Jia-Wei],
Lin, J.H.[Jun-Hong],
Chen, W.L.[Wei-Ling],
Zhao, T.S.[Tie-Song],
Lightweight Semi-supervised Network for Single Image Rain Removal,
PR(137), 2023, pp. 109277.
Elsevier DOI
2302
Rain Removal, Image Processing, Lightweight Network, Semi-supervised Learning
BibRef
Hu, X.,
Zhu, L.,
Wang, T.,
Fu, C.W.,
Heng, P.A.,
Single-Image Real-Time Rain Removal Based on Depth-Guided Non-Local
Features,
IP(30), 2021, pp. 1759-1770.
IEEE DOI
2101
Rain, Real-time systems, Cameras, Surveillance, Neural networks,
Training, Visual effects, Rain removal, rain formulation, non-local features
BibRef
Lin, X.,
Ma, L.,
Sheng, B.,
Wang, Z.J.,
Chen, W.,
Utilizing Two-Phase Processing With FBLS for Single Image Deraining,
MultMed(23), 2021, pp. 664-676.
IEEE DOI
2102
fuzzy set theory, image enhancement, image fusion,
image restoration, learning (artificial intelligence), rain, FBLS,
image processing
BibRef
Tang, Q.[Qunfang],
Yang, J.[Jie],
Liu, H.B.[Hai-Bo],
Guo, Z.Q.[Zhi-Qiang],
Jia, W.J.[Wen-Jing],
Single image deraining using Context Aggregation Recurrent Network,
JVCIR(75), 2021, pp. 103039.
Elsevier DOI
2103
Image deraining, Context awareness, Dilated convolution,
Recurrent network, Perceptual loss
BibRef
Li, S.Y.[Si-Yuan],
Ren, W.Q.[Wen-Qi],
Wang, F.[Feng],
Araujo, I.B.[Iago Breno],
Tokuda, E.K.[Eric K.],
Hirata Junior, R.[Roberto],
Cesar, Jr., R.M.[Roberto M.],
Wang, Z.Y.[Zhang-Yang],
Cao, X.C.[Xiao-Chun],
A Comprehensive Benchmark Analysis of Single Image Deraining: Current
Challenges and Future Perspectives,
IJCV(129), No. 4, April 2021, pp. 1301-1322.
Springer DOI
2104
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.],
Hirata Junior, R.[Roberto],
Cesar, Jr., R.M.[Roberto M.],
Zhang, J.[Jiawan],
Guo, X.J.[Xiao-Jie],
Cao, X.C.[Xiao-Chun],
Single Image Deraining: A Comprehensive Benchmark Analysis,
CVPR19(3833-3842).
IEEE DOI
2002
BibRef
Huang, H.B.[Huai-Bo],
Yu, A.J.[Ai-Jing],
Chai, Z.H.[Zhen-Hua],
He, R.[Ran],
Tan, T.N.[Tie-Niu],
Selective Wavelet Attention Learning for Single Image Deraining,
IJCV(129), No. 4, April 2021, pp. 1282-1300.
Springer DOI
2104
BibRef
Wang, G.Q.[Guo-Qing],
Sun, C.M.[Chang-Ming],
Sowmya, A.[Arcot],
Context-Enhanced Representation Learning for Single Image Deraining,
IJCV(129), No. 5, May 2021, pp. 1650-1674.
Springer DOI
2105
BibRef
Earlier:
ERL-Net: Entangled Representation Learning for Single Image
De-Raining,
ICCV19(5643-5651)
IEEE DOI
2004
Code, Image Restoration.
WWW Link. image enhancement, image restoration,
learning (artificial intelligence), single image deraining,
Image restoration
BibRef
Wei, Y.Y.[Yan-Yan],
Zhang, Z.[Zhao],
Wang, Y.[Yang],
Xu, M.L.[Ming-Liang],
Yang, Y.[Yi],
Yan, S.C.[Shui-Cheng],
Wang, M.[Meng],
DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining
and Rainmaking,
IP(30), 2021, pp. 4788-4801.
IEEE DOI
2105
BibRef
Zhu, L.[Lei],
Deng, Z.J.[Zi-Jun],
Hu, X.W.[Xiao-Wei],
Xie, H.R.[Hao-Ran],
Xu, X.M.[Xue-Miao],
Qin, J.[Jing],
Heng, P.A.[Pheng-Ann],
Learning Gated Non-Local Residual for Single-Image Rain Streak
Removal,
CirSysVideo(31), No. 6, June 2021, pp. 2147-2159.
IEEE DOI
2106
Rain, Logic gates, Computer science, Convolutional neural networks,
Benchmark testing,
gated learning
BibRef
Zhao, M.H.[Ming-Hua],
Fan, H.R.[Heng-Rui],
Du, S.L.[Shuang-Li],
Wang, L.[Li],
Li, P.[Peng],
Hu, J.[Jing],
A pyramid non-local enhanced residual dense network for single image
de-raining,
IET-IPR(15), No. 8, 2021, pp. 1786-1799.
DOI Link
2106
BibRef
Zhu, J.[Jian],
Liu, P.[Peiyu],
Luo, Y.[Yu],
Ling, J.[Jie],
Wu, E.[Enhua],
A new two-stage method for single image rain removal,
IET-IPR(15), No. 2, 2021, pp. 492-503.
DOI Link
2106
BibRef
Wang, Y.L.[Ying-Long],
Gong, D.[Dong],
Yang, J.[Jie],
Shi, Q.F.[Qin-Feng],
van den Hengel, A.[Anton],
Xie, D.H.[De-Hua],
Zeng, B.[Bing],
Deep Single Image Deraining via Modeling Haze-Like Effect,
MultMed(23), 2021, pp. 2481-2492.
IEEE DOI
2108
Rain, Atmospheric modeling, Machine learning, Task analysis,
Neural networks, Visualization, Image color analysis,
rain detection
BibRef
Cao, M.[Min],
Gao, Z.[Zhi],
Ramesh, B.[Bharath],
Mei, T.[Tiancan],
Cui, J.Q.[Jin-Qiang],
A Two-Stage Density-Aware Single Image Deraining Method,
IP(30), 2021, pp. 6843-6854.
IEEE DOI
2108
Rain, Physics, Logic gates, Image restoration, Feature extraction,
Task analysis, Learning systems, Single image deraining, cGAN,
gated fusion
BibRef
Cao, M.[Min],
Gao, Z.[Zhi],
Ramesh, B.[Bharath],
Mei, T.[Tiancan],
Cui, J.Q.[Jin-Qiang],
Single Image Deraining Integrating Physics Model and Density-Oriented
Conditional GAN Refinement,
SPLetters(28), 2021, pp. 1635-1639.
IEEE DOI
2109
Rain, Training, Atmospheric modeling, Logic gates, Image restoration,
Feature extraction, Signal processing algorithms,
rain density classification
BibRef
Gao, X.J.[Xin-Jian],
Wang, Y.[Yang],
Cheng, J.[Jun],
Xu, M.L.[Ming-Liang],
Wang, M.[Meng],
Meta-learning based relation and representation learning networks for
single-image deraining,
PR(120), 2021, pp. 108124.
Elsevier DOI
2109
Meta-learning, Relation network, Single-image deraining, Representation learning
BibRef
Que, Y.[Yue],
Li, S.[Suli],
Lee, H.J.[Hyo Jong],
Attentive Composite Residual Network for Robust Rain Removal from
Single Images,
MultMed(23), 2021, pp. 3059-3072.
IEEE DOI
2109
Rain, Periodic structures, Task analysis, Machine learning,
Image restoration, Decoding, Robustness, Attention mechanism,
residual network
BibRef
Yang, W.H.[Wen-Han],
Tan, R.T.[Robby T.],
Wang, S.Q.[Shi-Qi],
Fang, Y.M.[Yu-Ming],
Liu, J.Y.[Jia-Ying],
Single Image Deraining: From Model-Based to Data-Driven and Beyond,
PAMI(43), No. 11, November 2021, pp. 4059-4077.
IEEE DOI
2110
Rain, Atmospheric modeling, Videos, Image coding, Visualization,
Degradation, Machine learning, Rain streak removal, single image,
data-driven
See also Recurrent Multi-Frame Deraining: Combining Physics Guidance and Adversarial Learning.
BibRef
Yang, W.H.[Wen-Han],
Tan, R.T.[Robby T.],
Feng, J.S.[Jia-Shi],
Guo, Z.M.[Zong-Ming],
Yan, S.C.[Shui-Cheng],
Liu, J.Y.[Jia-Ying],
Joint Rain Detection and Removal from a Single Image with
Contextualized Deep Networks,
PAMI(42), No. 6, June 2020, pp. 1377-1393.
IEEE DOI
2005
BibRef
Earlier: A1, A2, A3, A6, A4, A5:
Deep Joint Rain Detection and Removal from a Single Image,
CVPR17(1685-1694)
IEEE DOI
1711
Rain, Shape, Atmospheric modeling, Image restoration, Deep learning,
Degradation, Rain removal, rain detection,
contextualized dilated network.
Atmospheric modeling, Feature extraction, Machine learning, Rain, Shape
BibRef
Qian, R.,
Tan, R.T.[Robby T.],
Yang, W.H.[Wen-Han],
Su, J.,
Liu, J.Y.[Jia-Ying],
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
Song, Z.Y.[Zhi-Ying],
Guo, Y.T.[Yu-Ting],
Ma, Z.F.[Zi-Fan],
Tang, R.C.[Ruo-Cong],
Liu, L.F.[Lin-Feng],
An unsupervised generative adversarial network for single image
deraining,
IET-IPR(15), No. 13, 2021, pp. 3105-3117.
DOI Link
2110
BibRef
Xu, K.[Ke],
Tian, X.[Xin],
Yang, X.[Xin],
Yin, B.C.[Bao-Cai],
Lau, R.W.H.[Rynson W. H.],
Intensity-Aware Single-Image Deraining With Semantic and Color
Regularization,
IP(30), 2021, pp. 8497-8509.
IEEE DOI
2110
Rain, Image color analysis, Semantics, Task analysis, Visualization,
Cameras, Urban areas, Rain removal, image reconstruction, neural networks
BibRef
Peng, L.[Long],
Jiang, A.[Aiwen],
Wei, H.R.[Hao-Ran],
Liu, B.[Bo],
Wang, M.[Mingwen],
Ensemble single image deraining network via progressive structural
boosting constraints,
SP:IC(99), 2021, pp. 116460.
Elsevier DOI
2111
Single image derain, Boosting, Ensemble derain network, Rain removal
BibRef
Li, M.Y.[Meng-Yao],
Wang, Y.F.[Yong-Fang],
Wang, C.[Chuang],
Recursive residual atrous spatial pyramid pooling network for single
image deraining,
SP:IC(99), 2021, pp. 116430.
Elsevier DOI
2111
Deraining, Recursive neural network, Multi-scale,
Residual atrous spatial pyramid pooling
BibRef
Yan, W.D.[Wen-Ding],
Tan, R.T.[Robby T.],
Yang, W.H.[Wen-Han],
Dai, D.X.[Deng-Xin],
Self-Aligned Video Deraining with Transmission-Depth Consistency,
CVPR21(11961-11971)
IEEE DOI
2111
Optical losses, Visualization, Rain, Convolution,
Estimation, Propagation losses
BibRef
Wang, Y.L.[Ying-Long],
Ma, C.[Chao],
Zeng, B.[Bing],
Multi-Decoding Deraining Network and Quasi-Sparsity Based Training,
CVPR21(13370-13379)
IEEE DOI
2111
Training, Rain, Information sharing,
Image decomposition, Image restoration
BibRef
Yang, F.[Fei],
Ren, J.F.[Jian-Feng],
Lu, Z.[Zheng],
Zhang, J.[Jialu],
Zhang, Q.[Qian],
Rain-component-aware capsule-GAN for single image de-raining,
PR(123), 2022, pp. 108377.
Elsevier DOI
2112
De-raining, Capsule, Generative adversarial network,
Rain-component-aware network
BibRef
Wang, Q.[Qiang],
Sun, G.[Gan],
Fan, H.J.[Hui-Jie],
Li, W.T.[Wen-Tao],
Tang, Y.D.[Yan-Dong],
APAN: Across-Scale Progressive Attention Network for Single Image
Deraining,
SPLetters(29), 2022, pp. 159-163.
IEEE DOI
2202
Rain, Image reconstruction, Training, Feature extraction,
Convolutional neural networks, Sun, Predictive models, image deraing
BibRef
Hamzeh, Y.[Yazan],
Mohammadi, A.[Alireza],
Rawashdeh, S.A.[Samir A.],
Improving the performance of automotive vision-based applications
under rainy conditions,
IET-IPR(16), No. 5, 2022, pp. 1457-1472.
DOI Link
2203
BibRef
Liang, S.L.[Song-Liang],
Meng, X.Z.[Xiao-Zhe],
Su, Z.[Zhuo],
Zhou, F.[Fan],
Multi-receptive Field Aggregation Network for single image deraining,
JVCIR(84), 2022, pp. 103469.
Elsevier DOI
2204
Image deraining, Dilated convolution, Attention mechanism
BibRef
Yin, H.T.[Hai-Tao],
Deng, H.[Hao],
RAiA-Net: A Multi-Stage Network With Refined Attention in Attention
Module for Single Image Deraining,
SPLetters(29), 2022, pp. 747-751.
IEEE DOI
2204
Rain, Feature extraction, Convolution, Indexes, Encoding,
Deep learning, Decoding, Deep learning, image deraining,
multi-stage
BibRef
Park, Y.[Yeachan],
Jeon, M.[Myeongho],
Lee, J.[Junho],
Kang, M.[Myungjoo],
MCW-Net: Single image deraining with multi-level connections and wide
regional non-local blocks,
SP:IC(105), 2022, pp. 116701.
Elsevier DOI
2205
Single image deraining, Multi-level connection,
Adaptive non-local operation, Low-level vision
BibRef
Hu, B.[Bin],
Single image deraining using contrastive perceptual regularization,
IET-IPR(16), No. 10, 2022, pp. 2759-2768.
DOI Link
2207
BibRef
Cai, L.[Lei],
Fu, Y.[Yuli],
Zhu, T.[Tao],
Xiang, Y.J.[You-Jun],
Zhang, Y.[Ying],
Zeng, H.Q.[Huan-Qiang],
Joint Depth and Density Guided Single Image De-Raining,
CirSysVideo(32), No. 7, July 2022, pp. 4108-4121.
IEEE DOI
2207
Rain, Visualization, Adaptive systems, Task analysis, Shape,
Predictive models, Machine vision, Single image de-raining,
global-local discriminators
BibRef
Hu, M.D.[Ming-Di],
Yang, J.B.[Jing-Bing],
Ling, N.[Nam],
Liu, Y.H.[Yu-Hong],
Fan, J.L.[Jiu-Lun],
Lightweight single image deraining algorithm incorporating visual
saliency,
IET-IPR(16), No. 12, 2022, pp. 3190-3200.
DOI Link
2209
BibRef
Wang, Q.[Qiang],
Sun, G.[Gan],
Dong, J.H.[Jia-Hua],
Zhang, Y.L.[Yu-Lun],
PFDN: Pyramid Feature Decoupling Network for Single Image Deraining,
IP(31), 2022, pp. 7091-7101.
IEEE DOI
2212
Rain, Task analysis, Feature extraction, Recurrent neural networks,
Image restoration, Correlation, Sun, Image deraining,
fully-supervised learning
BibRef
Liu, Y.T.[Yue-Tong],
Zhang, R.[Rui],
Zhang, Y.F.[Yun-Feng],
Pan, X.[Xiao],
Yao, X.X.[Xun-Xiang],
Ni, Z.R.[Zhao-Rui],
Han, H.J.[Hui-Jian],
Recurrent context-aware multi-stage network for single image
deraining,
CVIU(227), 2023, pp. 103612.
Elsevier DOI
2301
Single image deraining, Recurrent network,
Contextual information, Multi-stage strategy
BibRef
Liu, Y.T.[Yue-Tong],
Zhang, R.[Rui],
Zhang, Y.F.[Yun-Feng],
Yao, X.X.[Xun-Xiang],
Han, H.J.[Hui-Jian],
Single Image Deraining Via a Recurrent Multi-Attention Enhancement
Network,
SP:IC(113), 2023, pp. 116926.
Elsevier DOI
2303
Single image deraining, Recurrent multi-attention enhancement network,
Feature enhanced residual block
BibRef
Li, P.C.[Peng-Cheng],
Gai, S.[Shan],
Single image deraining using multi-scales context information and
attention network,
JVCIR(90), 2023, pp. 103695.
Elsevier DOI
2301
Image deraining, Convolutional neural network,
Attention mechanism, Depthwise separable convolution, Feature fusion
BibRef
Hsu, W.Y.[Wei-Yen],
Chang, W.C.[Wei-Chi],
Recurrent wavelet structure-preserving residual network for single
image deraining,
PR(137), 2023, pp. 109294.
Elsevier DOI
2302
Single image deraining, Recurrent wavelet residual network,
Structure preservation, Image weighted blending
BibRef
Hsu, W.Y.[Wei-Yen],
Chang, W.C.[Wei-Chi],
Wavelet Approximation-Aware Residual Network for Single Image
Deraining,
PAMI(45), No. 12, December 2023, pp. 15979-15995.
IEEE DOI
2311
BibRef
Yu, L.[Lei],
Wang, B.[Bishan],
He, J.W.[Jing-Wei],
Xia, G.S.[Gui-Song],
Yang, W.[Wen],
Single Image Deraining With Continuous Rain Density Estimation,
MultMed(25), 2023, pp. 443-456.
IEEE DOI
2302
Rain, Convolutional codes, Estimation, Encoding,
Convolutional neural networks, Minimization, Mathematical models,
rain density estimation
BibRef
Du, Y.[Yong],
Deng, J.J.[Jun-Jie],
Zheng, Y.L.[Yu-Long],
Dong, J.Y.[Jun-Yu],
He, S.F.[Sheng-Feng],
DSDNet: Toward single image deraining with self-paced curricular dual
stimulations,
CVIU(230), 2023, pp. 103657.
Elsevier DOI
2303
Single image deraining, Rain distributions,
Stimulation strategy, Semi-curriculum learning
BibRef
Jiang, R.[Rui],
Li, Y.S.[Yao-Shun],
Chen, C.[Cheng],
Liu, W.[Wei],
Two-stage learning framework for single image deraining,
IET-IPR(17), No. 5, 2023, pp. 1449-1463.
DOI Link
2304
BibRef
Earlier: A1, A4, Only:
Single Image Deraining via Two Stages: Bilateral Learning and Feature
Decoupling,
ICRVC22(186-192)
IEEE DOI
2301
bilateral grid, joint feature refinement, progressive separation.
Representation learning, Rain, Correlation, Image color analysis,
Image edge detection, Computational modeling
BibRef
Gao, X.J.[Xin-Jian],
Wang, Y.[Yang],
Wang, M.[Meng],
Macroscopic-and-Microscopic Rain Streaks Disentanglement Network for
Single-Image Deraining,
IP(32), 2023, pp. 2663-2677.
IEEE DOI
2305
Rain, Image color analysis, Gray-scale, Image restoration, Standards,
Image edge detection, Task analysis, Single-image deraining,
self-attention restoration
BibRef
Qin, S.D.[Sheng-Di],
Zhang, S.L.[Shun-Li],
Zhang, Y.[Yu],
Using Mask-Based Enhancement and Feature Aggregation for Single Image
Deraining,
SPLetters(30), 2023, pp. 828-832.
IEEE DOI
2307
Rain, Standards, Training, Adaptation models, Robustness,
Image restoration, Convolution, Adaptive weighting, image deraining
BibRef
Zheng, Z.Y.[Zi-Yang],
Chen, Z.X.[Zhi-Xiang],
Wang, S.Q.[Shu-Qi],
Wang, W.P.[Wen-Peng],
Wang, H.[Hui],
Memory-Efficient Multi-Scale Residual Dense Network for Single Image
Rain Removal,
CVIU(235), 2023, pp. 103766.
Elsevier DOI
2310
Rain removal, Shared cache, Neural network, Attention mechanism
BibRef
Zhang, Z.[Zhao],
Wei, Y.Y.[Yan-Yan],
Zhang, H.J.[Hai-Jun],
Yang, Y.[Yi],
Yan, S.C.[Shui-Cheng],
Wang, M.[Meng],
Data-Driven single image deraining: A Comprehensive review and new
perspectives,
PR(143), 2023, pp. 109740.
Elsevier DOI
2310
Data-driven single image deraining, Comprehensive review,
New perspective of data, Data, Rain model, Effectiveness of data
BibRef
Tang, J.H.[Jun-Hao],
Feng, G.R.[Guo-Rui],
Background-detail restoration image deraining network based on
convolutional dictionary network,
SP:IC(119), 2023, pp. 117057.
Elsevier DOI
2310
Single-image deraining, Convolutional dictionary network,
Multi-scale dilated convolution, Channel attention, Multi-stage deraining
BibRef
Su, Z.P.[Zhi-Peng],
Zhang, Y.X.[Yi-Xiong],
Shi, J.H.[Jiang-Hong],
Zhang, X.P.[Xiao-Ping],
A Survey of Single Image Rain Removal Based on Deep Learning,
Surveys(56), No. 4, November 2023, pp. xx-yy.
DOI Link
2312
Survey, Deraining. deep learning, Survey, data-driven, image deraining
BibRef
Kong, X.L.[Xiao-Lin],
Gao, T.[Tao],
Chen, T.[Ting],
Zhang, J.[Jing],
Progressive dilation dense residual fusion network for single-image
deraining,
IET-IPR(17), No. 14, 2023, pp. 4102-4115.
DOI Link
2312
image denoising, image enhancement, image processing, image reconstruction
BibRef
Xu, Y.F.[Yi-Fei],
Long, Z.[Zourong],
Tang, B.[Bin],
Lei, S.Y.[Si-Yue],
Channel Pyramidal Transformer Network for Single Image Deraining,
SPLetters(30), 2023, pp. 1757-1761.
IEEE DOI
2312
BibRef
Feng, F.X.[Fu-Xiang],
Zhang, Y.[Youmei],
Zhang, W.D.[Wei-Dong],
Li, B.[Bin],
Progressive dense feature fusion network for single image deraining,
PRL(176), 2023, pp. 209-214.
Elsevier DOI
2312
Image deraining, Residual dense connection unit,
Progressive feature fusion module, Detail perceptual loss
BibRef
Li, W.C.[Wen-Cheng],
Chen, G.[Gang],
Chang, Y.[Yi],
An Efficient Single Image De-Raining Model With Decoupled Deep
Networks,
IP(33), 2024, pp. 69-81.
IEEE DOI
2312
BibRef
Li, Y.[Youxing],
Lan, R.[Rushi],
Huang, H.[Huiwen],
Zhou, H.Y.[Hui-Yu],
Liu, Z.[Zhenbing],
Pang, C.[Cheng],
Luo, X.N.[Xiao-Nan],
Single Traffic Image Deraining via Similarity-Diversity Model,
ITS(25), No. 1, January 2024, pp. 90-103.
IEEE DOI
2402
Rain, Degradation, Image restoration, Atmospheric modeling,
Correlation, Task analysis, Image color analysis, Deep learning, diversity
BibRef
Zhou, N.R.[Nan-Run],
Deng, J.[Jibin],
Pang, M.[Meng],
Recovering a clean background: A parallel deep network architecture
for single-image deraining,
PRL(178), 2024, pp. 153-159.
Elsevier DOI
2402
Single-image deraining, Parallel network,
Hybrid dilated convolution, Efficient channel attention
BibRef
Tan, S.H.[Shao-Han],
Chen, H.[Hui],
Zhu, S.H.[Song-Hao],
CTFCD: Channel transformer based on full convolutional decoder for
single image deraining,
JVCIR(98), 2024, pp. 103992.
Elsevier DOI
2402
Image deraining, Full convolutional decoder, Channel transformer
BibRef
Li, C.[Chen],
Li, X.T.[Xue-Ting],
Guo, Y.[Yecai],
Li, J.[Jia],
Single-image deraining algorithm based on multi-stage recurrent
network,
IET-IPR(18), No. 3, 2024, pp. 650-663.
DOI Link
2402
deep rain characteristics, dilated convolution, multi-scale,
multi-stage, recursion
BibRef
Wedajew, G.N.[Getachew Nadew],
Xu, S.S.D.[Sendren Sheng-Dong],
SE-RRACycleGAN: Unsupervised Single-Image Deraining Using
Squeeze-and-Excitation-Based Recurrent Rain-Attentive CycleGAN,
RS(16), No. 14, 2024, pp. 2642.
DOI Link
2408
BibRef
Xiong, G.[Gonghe],
Gai, S.[Shan],
Nie, B.[Bofan],
Chen, F.L.[Fei-Long],
Sun, C.L.[Chang-Le],
Non-local feature aggregation quaternion network for single image
deraining,
JVCIR(103), 2024, pp. 104250.
Elsevier DOI Code:
WWW Link.
2409
Single image deraining, Quaternion network,
Non-local feature modeling, Feature aggregation
BibRef
Hu, M.[Mingdi],
Yang, J.B.[Jing-Bing],
Yu, J.X.[Jian-Xun],
Jing, B.Y.[Bing-Yi],
Prior-DualGAN: Rain rendering from coarse to fine,
SP:IC(129), 2024, pp. 117170.
Elsevier DOI
2411
Rain rendering, Multi-scale convolutional sparse coding,
Generative adversarial network, Data-driven deep learning,
Single image deraining
BibRef
Jiang, Z.Y.[Zhi-Ying],
Liu, R.S.[Ri-Sheng],
Yang, S.Z.[Shu-Zhou],
Zhang, Z.X.[Zeng-Xi],
Fan, X.[Xin],
DRNet: Learning a dynamic recursion network for chaotic rain streak
removal,
PR(158), 2025, pp. 111004.
Elsevier DOI Code:
WWW Link.
2411
Single image deraining, Image restoration, Neural architecture search
BibRef
Swaminathan, R.[Ruphan],
Korupolu, P.[Pradyot],
MobileDeRainGAN: An Efficient Semi-Supervised Approach to Single
Image Rain Removal for Task-Driven Applications,
WAD23(192-201)
IEEE DOI
2309
BibRef
Ba, Y.H.[Yun-Hao],
Zhang, H.[Howard],
Yang, E.[Ethan],
Suzuki, A.[Akira],
Pfahnl, A.[Arnold],
Chandrappa, C.C.[Chethan Chinder],
de Melo, C.M.[Celso M.],
You, S.[Suya],
Soatto, S.[Stefano],
Wong, A.[Alex],
Kadambi, A.[Achuta],
Not Just Streaks: Towards Ground Truth for Single Image Deraining,
ECCV22(VII:723-740).
Springer DOI
2211
BibRef
Liang, Y.C.[Yuan-Chu],
Anwar, S.[Saeed],
Liu, Y.[Yang],
DRT: A Lightweight Single Image Deraining Recursive Transformer,
NTIRE22(588-597)
IEEE DOI
2210
Training, Deep learning, Rain, Computational modeling,
Transformers
BibRef
Nanba, Y.[Yuuto],
Miyata, H.[Hikaru],
Han, X.H.[Xian-Hua],
Dual Heterogeneous Complementary Networks for Single Image Deraining,
NTIRE22(567-576)
IEEE DOI
2210
Training, Representation learning, Rain, Shape, Semantics,
Reliability, Task analysis
BibRef
Li, Y.Z.[Yi-Zhou],
Monno, Y.[Yusuke],
Okutomi, M.[Masatoshi],
Single Image Deraining Network with Rain Embedding Consistency and
Layered LSTM,
WACV22(3957-3966)
IEEE DOI
2202
Convolutional codes, Rain, Benchmark testing,
Feature extraction, Encoding, Decoding, Low-level and Physics-based Vision
BibRef
Huang, Z.H.[Zi-Hong],
Zhang, J.[Jian],
Dynamic Multi-Domain Translation Network for Single Image Deraining,
ICIP21(1754-1758)
IEEE DOI
2201
Deep learning, Rain, Heuristic algorithms, Image processing,
Benchmark testing, Complexity theory, neural network,
multi-domain
BibRef
Chen, C.H.[Cheng-Hao],
Li, H.[Hao],
Robust Representation Learning with Feedback for Single Image
Deraining,
CVPR21(7738-7747)
IEEE DOI
2111
Uncertainty, Rain, Codes, Feature extraction,
Generators
BibRef
Li, Y.Z.[Yi-Zhou],
Monno, Y.[Yusuke],
Okutomi, M.[Masatoshi],
Recurrent RLCN-Guided Attention Network for Single Image Deraining,
MVA21(1-5)
DOI Link
2109
Training, Rain, Recurrent neural networks,
Benchmark testing, Task analysis
BibRef
Li, P.P.[Peng-Peng],
Jin, J.[Jiyu],
Jin, G.Y.[Gui-Yue],
Fan, L.[Lei],
Gao, X.[Xiao],
Song, T.Y.[Tian-Yu],
Chen, X.[Xiang],
Deep Scale-space Mining Network for Single Image Deraining,
UG22(4275-4284)
IEEE DOI
2210
Degradation, Deep learning, Visualization, Rain, Correlation, Fuses,
Machine vision
BibRef
Chen, X.[Xiang],
Huang, Y.F.[Yu-Feng],
Xu, L.[Lei],
Multi-Scale Hourglass Hierarchical Fusion Network for Single Image
Deraining,
UG21(872-879)
IEEE DOI
2109
BibRef
Earlier:
Multi-scale Attentive Residual Dense Network for Single Image Rain
Removal,
ACCV20(II:286-300).
Springer DOI
2103
Degradation, Visualization, Rain,
Computational modeling, Aggregates
BibRef
Yamamichi, K.[Kohei],
Han, X.H.[Xian-Hua],
Mcgkt-net: Multi-level Context Gating Knowledge Transfer Network for
Single Image Deraining,
ACCV20(II:68-83).
Springer DOI
2103
BibRef
Wu, Q.,
Chen, L.,
Ngan, K.N.,
Li, H.,
Meng, F.,
Xu, L.,
A Unified Single Image De-raining Model via Region Adaptive Coupled
Network,
VCIP20(1-4)
IEEE DOI
2102
Rain, Image restoration, Adaptive systems, Adaptation models,
Training, Kernel, Convolution, Single image de-raining,
weighted fusion model
BibRef
Yang, H.H.,
Yang, C.H.H.,
Wang, Y.C.F.,
Wavelet Channel Attention Module With A Fusion Network For Single
Image Deraining,
ICIP20(883-887)
IEEE DOI
2011
Discrete wavelet transforms, Rain, Image restoration,
Feature extraction, Task analysis, Wavelet transform,
convolutional neural network
BibRef
Xue, X.,
Hao, Z.,
Ding, Y.,
Jia, Q.,
Liu, R.,
Multi-Scale Features Joint Rain Removal For Single Image,
ICIP20(933-937)
IEEE DOI
2011
Rain, Feature extraction, Convolution, Convolutional codes,
Machine learning, Visualization, Image restoration, Deep learning,
Image Restoration
BibRef
Wang, H.[Hong],
Xie, Q.[Qi],
Zhao, Q.[Qian],
Meng, D.Y.[De-Yu],
A Model-Driven Deep Neural Network for Single Image Rain Removal,
CVPR20(3100-3109)
IEEE DOI
2008
Rain, Kernel, Task analysis, Machine learning, Manganese,
Network architecture, Convolutional codes
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
Wang, T.Y.[Tian-Yu],
Yang, X.[Xin],
Xu, K.[Ke],
Chen, S.Z.[Shao-Zhe],
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
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
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
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
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
Zhang, H.,
Patel, V.M.,
Density-Aware Single Image De-raining Using a Multi-stream Dense
Network,
CVPR18(695-704)
IEEE DOI
1812
Rain, Training, Shape, Estimation, Image resolution, Task analysis, Feature extraction
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
image denoising, image reconstruction,
image restoration, optimisation, rain, Joint Bi-layer Optimization,
Visualization
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
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
Luo, Y.,
Xu, Y.,
Ji, H.,
Removing Rain from a Single Image via Discriminative Sparse Coding,
ICCV15(3397-3405)
IEEE DOI
1602
Dictionaries
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
Sun, S.H.[Shao-Hua],
Fan, S.P.[Shang-Pu],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Exploiting image structural similarity for single image rain removal,
ICIP14(4482-4486)
IEEE DOI
1502
Dictionaries
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
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Rain Drop Removal, Raindrop Detection .