4.11.2.6 Rain Removal, Color Correction

Chapter Contents (Back)
Rain Removal. Deraining.
See also Rain Drop Removal, Raindrop Detection.
See also Single Image Rain Removal, Color Correction.
See also Color Correction.
See also Snow Removal.
See also General Weather Enhancement, Restoration.

Winner, H.[Hermann],
Combined sensor device for measuring both rain-covered area on and visual range through a windshield of a motor vehicle,
US_Patent6,108,084, Aug 22, 2000
WWW Link. BibRef 0008

Garg, K.[Kshitiz], Nayar, S.K.[Shree K.],
Photorealistic Rendering of Rain Streaks,
ToG(25), July 2006, pp. xx-yy.
PDF File. BibRef 0607

Garg, K.[Kshitiz], Nayar, S.K.[Shree K.],
Vision and Rain,
IJCV(75), No. 1, October 2007, pp. 3-27.
Springer DOI 0709
BibRef
Earlier:
When Does a Camera See Rain?,
ICCV05(II: 1067-1074).
IEEE DOI 0510
BibRef
Earlier:
Detection and removal of rain from videos,
CVPR04(I: 528-535).
IEEE DOI 0408
BibRef

Tripathi, A.K., Mukhopadhyay, S.,
Video post processing: Low-latency spatiotemporal approach for detection and removal of rain,
IET-IPR(6), No. 2, 2012, pp. 181-196.
DOI Link 1204
BibRef

Tripathi, A.K.[Abhishek Kumar], Mukhopadhyay, S.[Sudipta],
Removal of rain from videos: a review,
SIViP(8), No. 8, November 2014, pp. 1421-1430.
WWW Link. 1411
BibRef

Tripathi, A.K.[Abhishek Kumar], Mukhopadhyay, S.[Sudipta],
Meteorological approach for detection and removal of rain from videos,
IET-CV(7), No. 1, 2013, pp. 36-47.
DOI Link 1307
BibRef

Chen, J.[Jie], Chau, L.P.[Lap-Pui],
A Rain Pixel Recovery Algorithm for Videos With Highly Dynamic Scenes,
IP(23), No. 3, March 2014, pp. 1097-1104.
IEEE DOI 1403
filtering theory BibRef

Chen, D.Y.[Duan-Yu], Chen, C.C.[Chien-Cheng], Kang, L.W.[Li-Wei],
Visual Depth Guided Color Image Rain Streaks Removal Using Sparse Coding,
CirSysVideo(24), No. 8, August 2014, pp. 1430-1455.
IEEE DOI 1410
eigenvalues and eigenfunctions BibRef

Kim, H.G.[Hak Gu], Seo, S.J.[Seung Ji], Song, B.C.[Byung Cheol],
Multi-frame de-raining algorithm using a motion-compensated non-local mean filter for rainy video sequences,
JVCIR(26), No. 1, 2015, pp. 317-328.
Elsevier DOI 1502
Rain streaks BibRef

Santhaseelan, V.[Varun], Asari, V.K.[Vijayan K.],
Utilizing Local Phase Information to Remove Rain from Video,
IJCV(112), No. 1, March 2015, pp. 71-89.
WWW Link. 1503
BibRef
Earlier:
Phase Congruency Based Technique for the Removal of Rain from Video,
ICIAR11(I: 30-39).
Springer DOI 1106
BibRef

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 BibRef

Fu, X.Y.[Xue-Yang], Qi, Q.[Qi], Zha, Z.J.[Zheng-Jun], Ding, X.H.[Xing-Hao], Wu, F.[Feng], Paisley, J.[John],
Successive Graph Convolutional Network for Image De-raining,
IJCV(129), No. 5, May 2021, pp. 1691-1711.
Springer DOI 2105
BibRef

Fu, X.Y.[Xue-Yang], Xiao, J.[Jie], Zhu, Y.R.[Yu-Rui], Liu, A.[Aiping], Wu, F.[Feng], Zha, Z.J.[Zheng-Jun],
Continual Image Deraining With Hypergraph Convolutional Networks,
PAMI(45), No. 8, August 2023, pp. 9534-9551.
IEEE DOI 2307
Rain, Task analysis, Convolution, Training, Convolutional codes, Synthetic data, Optimization, Continual learning, image restoration BibRef

Xiao, J.[Jie], Fu, X.Y.[Xue-Yang], Liu, A.[Aiping], Wu, F.[Feng], Zha, Z.J.[Zheng-Jun],
Image De-Raining Transformer,
PAMI(45), No. 11, November 2023, pp. 12978-12995.
IEEE DOI 2310
BibRef

Zhang, H.[He], Patel, V.M.[Vishal M.],
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. Convolutional codes, Dictionaries, Image coding, Optimization, Rain, Videos BibRef

Liu, J., Yang, W., Yang, S., Guo, Z.,
D3R-Net: Dynamic Routing Residue Recurrent Network for Video Rain Removal,
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) 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], Zhang, Y.T.[Yue-Tian], 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

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
BibRef

Thiyagarajan, J., Shankar, C.G.[C. Gowri],
Quality improvement and performance analysis of High Efficiency Video Coding under high quantization parameters and rain streaks,
SIViP(14), No. 2, March 2020, pp. 387-395.
WWW Link. 2003
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

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
BibRef

Yang, W., Wang, S., Liu, J.,
Removing Arbitrary-Scale Rain Streaks via Fractal Band Learning With Self-Supervision,
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 video deraining,
IET-IPR(14), No. 14, December 2020, pp. 3602-3612.
DOI Link 2012
BibRef

Di, S., Feng, Q., Li, C.G., Zhang, M., Zhang, H., Elezovikj, S., Tan, C.C., 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], Guo, H.M.[Hao-Ming],
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.S.[Ri-Sheng], 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, 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

Kulkarni, A.[Ashutosh], Patil, P.W.[Prashant W.], Murala, S.[Subrahmanyam],
Progressive Subtractive Recurrent Lightweight Network for Video Deraining,
SPLetters(29), 2022, pp. 229-233.
IEEE DOI 2202
Rain, Feature extraction, Convolution, Training, Merging, Kernel, Task analysis, Lightweight, progressive subtraction, video deraining BibRef

Ahn, N.[Namhyun], Jo, S.Y.[So Yeon], Kang, S.J.[Suk-Ju],
EAGNet: Elementwise Attentive Gating Network-Based Single Image De-Raining With Rain Simplification,
CirSysVideo(32), No. 2, February 2022, pp. 608-620.
IEEE DOI 2202
Rain, Image restoration, Task analysis, Feature extraction, Degradation, Learning systems, Rain removal, elementwise attention block BibRef

Ding, Y.Y.[Yu-Yang], Li, M.Y.[Ming-Yue], Yan, T.[Tao], Zhang, F.[Fan], Liu, Y.[Yuan], Lau, R.W.H.[Rynson W. H.],
Rain Streak Removal From Light Field Images,
CirSysVideo(32), No. 2, February 2022, pp. 467-482.
IEEE DOI 2202
Rain, Image restoration, Generators, Estimation, Cameras, Training, Light field image, rain streak removal, deraining BibRef

Yan, T.[Tao], Li, M.Y.[Ming-Yue], Li, B.[Bin], Yang, Y.[Yang], Lau, R.W.H.[Rynson W. H.],
Rain Removal From Light Field Images With 4D Convolution and Multi-Scale Gaussian Process,
IP(32), 2023, pp. 921-936.
IEEE DOI 2301
Rain, Semisupervised learning, Training, Image restoration, Feature extraction, Task analysis, Estimation, Light field images, Gaussian process BibRef

Wang, X.F.[Xiao-Fen], Chen, J.[Jun], Han, Z.[Zhen], Zhu, Q.[Qikui], Ruan, W.J.[Wei-Jian],
Real-Time Video Deraining via Global Motion Compensation and Hybrid Multi-Scale Temporal Correlations,
SPLetters(29), 2022, pp. 672-676.
IEEE DOI 2203
Feature extraction, Rain, Correlation, Convolution, Transforms, Streaming media, Computational efficiency, Video deraining, global context module BibRef

Yang, Y.[Yong], Guan, J.W.[Ju-Wei], Huang, S.Y.[Shu-Ying], Wan, W.G.[Wei-Guo], Xu, Y.T.[Ya-Ting], Liu, J.X.[Jia-Xiang],
End-to-End Rain Removal Network Based on Progressive Residual Detail Supplement,
MultMed(24), 2022, pp. 1622-1636.
IEEE DOI 2204
Rain, Logic gates, Task analysis, Feature extraction, Visualization, History, Frequency-domain analysis, Rain removal, detail supplement BibRef

Zhang, K.H.[Kai-Hao], Luo, W.H.[Wen-Han], Yu, Y.J.[Yan-Jiang], Ren, W.Q.[Wen-Qi], Zhao, F.[Fang], Li, C.S.[Chang-Sheng], Ma, L.[Lin], Liu, W.[Wei], Li, H.D.[Hong-Dong],
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior,
IJCV(130), No. 7, July 2022, pp. 1754-1769.
Springer DOI 2207
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

Du, S.L.[Shuang-Li], Fan, H.R.[Heng-Rui], Zhao, M.H.[Ming-Hua], Zong, H.[Haomai], Hu, J.[Jing], Li, P.[Peng],
A two-stage method for single image de-raining based on attention smoothed dilated network,
IET-IPR(16), No. 10, 2022, pp. 2557-2567.
DOI Link 2207
BibRef

Yang, W.H.[Wen-Han], Tan, R.T.[Robby T.], Feng, J.S.[Jia-Shi], Wang, S.Q.[Shi-Qi], Cheng, B.[Bin], Liu, J.Y.[Jia-Ying],
Recurrent Multi-Frame Deraining: Combining Physics Guidance and Adversarial Learning,
PAMI(44), No. 11, November 2022, pp. 8569-8586.
IEEE DOI 2210
BibRef
Earlier: A1, A5, A3, Only:
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow,
CVPR19(1661-1670).
IEEE DOI 2002
Rain, Degradation, Physics, Computational modeling, Image color analysis, Estimation, Multi-frame, video rain removal, adversarial learning.
See also Single Image Deraining: From Model-Based to Data-Driven and Beyond. BibRef

Cui, X.[Xin], Wang, C.[Cong], Ren, D.W.[Dong-Wei], Chen, Y.J.[Yun-Jin], Zhu, P.F.[Peng-Fei],
Semi-Supervised Image Deraining Using Knowledge Distillation,
CirSysVideo(32), No. 12, December 2022, pp. 8327-8341.
IEEE DOI 2212
Feature extraction, Task analysis, Supervised learning, Semisupervised learning, Network architecture, semi-supervised learning BibRef

Zhang, K.H.[Kai-Hao], Li, D.X.[Dong-Xu], Luo, W.H.[Wen-Han], Ren, W.Q.[Wen-Qi], Liu, W.[Wei],
Enhanced Spatio-Temporal Interaction Learning for Video Deraining: Faster and Better,
PAMI(45), No. 1, January 2023, pp. 1287-1293.
IEEE DOI 2212
Feature extraction, Rain, Computer architecture, Logic gates, Correlation, Data mining, Image restoration, Video deraining, ESTINet BibRef

Du, S.L.[Shuang-Li], Liu, Y.G.[Yi-Guang], Zhao, M.H.[Ming-Hua], Xu, Z.Y.[Zhen-Yu], Li, J.[Jie], You, Z.Z.[Zhen-Zhen],
A new image decomposition approach using pixel-wise analysis sparsity model,
PR(136), 2023, pp. 109241.
Elsevier DOI 2301
Image decomposition, Rain streaks removal, Retinex theory, Pixel-wise analysis sparsity model, Synthesis sparsity model BibRef

Ran, W.[Wu], Yang, B.[Bohong], Ma, P.[Peirong], Lu, H.[Hong],
TRNR: Task-Driven Image Rain and Noise Removal With a Few Images Based on Patch Analysis,
IP(32), 2023, pp. 721-736.
IEEE DOI 2301
Rain, Task analysis, Training, Neural networks, Gaussian noise, Adaptation models, Image sampling, Image rain and noise removal, few-shot learning BibRef

Cai, L.[Lei], Fu, Y.[Yuli], Huo, W.L.[Wan-Liang], Xiang, Y.[Youjun], Zhu, T.[Tao], Zhang, Y.[Ying], Zeng, H.Q.[Huan-Qiang], Zeng, D.[Delu],
Multiscale Attentive Image De-Raining Networks via Neural Architecture Search,
CirSysVideo(33), No. 2, February 2023, pp. 618-633.
IEEE DOI 2302
Rain, Neural networks, Training, Task analysis, Complexity theory, Shape, Image de-raining, multi-to-one training strategy BibRef

Huang, H.B.[Huai-Bo], Luo, M.[Mandi], He, R.[Ran],
Memory Uncertainty Learning for Real-World Single Image Deraining,
PAMI(45), No. 3, March 2023, pp. 3446-3460.
IEEE DOI 2302
Rain, Uncertainty, Memory modules, Stochastic processes, Estimation, Predictive models, Visualization, Image deraining, uncertainty estimation BibRef

Zhang, Z.J.[Zhi-Jia], Wu, S.[Sinan], Peng, X.M.[Xin-Ming], Wang, W.T.[Wan-Ting], Li, R.[Rui],
Continuous learning deraining network based on residual FFT convolution and contextual transformer module,
IET-IPR(17), No. 3, 2023, pp. 747-760.
DOI Link 2303
contextual transformer, continuous learning, image deraining, residual FFT convolution module BibRef

Xi, Y.[Yue], Jia, W.J.[Wen-Jing], Miao, Q.G.[Qi-Guang], Feng, J.[Junmei], Liu, X.Z.[Xiang-Zeng], Li, F.[Fei],
CoDerainNet: Collaborative Deraining Network for Drone-View Object Detection in Rainy Weather Conditions,
RS(15), No. 6, 2023, pp. 1487.
DOI Link 2304
BibRef

Hao, Z.W.[Zhi-Wei], Gai, S.[Shan], Li, P.C.[Peng-Cheng],
Multi-Scale Self-Calibrated Dual-Attention Lightweight Residual Dense Deraining Network Based on Monogenic Wavelets,
CirSysVideo(33), No. 6, June 2023, pp. 2642-2655.
IEEE DOI 2306
Rain, Feature extraction, Discrete wavelet transforms, Task analysis, Convolutional neural networks, lightweight residual dense network BibRef

Sun, S.Q.[Shang-Quan], Ren, W.Q.[Wen-Qi], Li, J.Z.[Jing-Zhi], Zhang, K.[Kaihao], Liang, M.[Meiyu], Cao, X.C.[Xiao-Chun],
Event-Aware Video Deraining via Multi-Patch Progressive Learning,
IP(32), 2023, pp. 3040-3053.
IEEE DOI 2306
Rain, Cameras, Convolutional neural networks, Task analysis, Neural networks, Correlation, Sun, Video deraining, event-aware, multi-patch learning BibRef

Tang, J.H.[Jun-Hao], Feng, G.R.[Guo-Rui],
A Fusion Deraining Network Based on Swin Transformer and Convolutional Neural Network,
IEICE(E106-D), No. 7, July 2023, pp. 1254-1257.
WWW Link. 2307
BibRef

Wu, W.[Wei], Liu, Y.[Yong], Li, Z.[Zhu],
Subband Differentiated Learning Network for Rain Streak Removal,
CirSysVideo(33), No. 9, September 2023, pp. 4675-4688.
IEEE DOI 2310
BibRef

Song, T.Y.[Tian-Yu], Li, P.P.[Peng-Peng], Fan, S.[Shumin], Jin, J.[Jiyu], Jin, G.Y.[Gui-Yue], Fan, L.[Lei],
Exploring a context-gated network for effective image deraining,
JVCIR(98), 2024, pp. 104060.
Elsevier DOI 2402
Single image deraining, Image restoration, Context enhancement, Gated aggregation, Multi-scale features BibRef

Yang, W.H.[Wen-Han], Tan, R.T.[Robby T.], Wang, S.Q.[Shi-Qi], Kot, A.C.[Alex C.], Liu, J.Y.[Jia-Ying],
Learning to Remove Rain in Video With Self-Supervision,
PAMI(46), No. 3, March 2024, pp. 1378-1396.
IEEE DOI Code:
WWW Link. 2402
Rain, Training, Data models, Adaptation models, Noise measurement, Correlation, Encoding, Multi-frame image, video rain removal, adversarial learning BibRef

Frants, V.[Vladimir], Agaian, S.[Sos], Panetta, K.[Karen],
QSAM-Net: Rain Streak Removal by Quaternion Neural Network With Self-Attention Module,
MultMed(26), 2024, pp. 789-798.
IEEE DOI 2402
Rain, Quaternions, Task analysis, Training, Image color analysis, Neural networks, Meteorology, Deep learning, object detection, rain removal BibRef


Wang, J.[Jin], Weng, W.M.[Wen-Ming], Zhang, Y.[Yueyi], Xiong, Z.W.[Zhi-Wei],
Unsupervised Video Deraining with An Event Camera,
ICCV23(10797-10806)
IEEE DOI 2401
BibRef

Zhang, F.[Fan], You, S.[Shaodi], Li, Y.[Yu], Fu, Y.[Ying],
Learning Rain Location Prior for Nighttime Deraining,
ICCV23(13102-13111)
IEEE DOI Code:
WWW Link. 2401
BibRef

Guo, Y.[Yun], Xiao, X.[Xueyao], Chang, Y.[Yi], Deng, S.[Shumin], Yan, L.X.[Lu-Xin],
From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal,
ICCV23(12063-12073)
IEEE DOI 2401
BibRef

Schmalfuss, J.[Jenny], Mehl, L.[Lukas], Bruhn, A.[Andrés],
Distracting Downpour: Adversarial Weather Attacks for Motion Estimation,
ICCV23(10072-10082)
IEEE DOI Code:
WWW Link. 2401
BibRef

Fan, C.M.[Chi-Mao], Liu, T.J.[Tsung-Jung], Liu, K.H.[Kuan-Hsien],
Compound Multi-Branch Feature Fusion for Image Deraindrop,
ICIP23(3399-3403)
IEEE DOI Code:
WWW Link. 2312
BibRef

Zhang, H.[Howard], Ba, Y.H.[Yun-Hao], Yang, E.[Ethan], Mehra, V.[Varan], Gella, B.[Blake], Suzuki, A.[Akira], Pfahnl, A.[Arnold], Chandrappa, C.C.[Chethan Chinder], Wong, A.[Alex], Kadambi, A.[Achuta],
WeatherStream: Light Transport Automation of Single Image Deweathering,
CVPR23(13499-13509)
IEEE DOI 2309
BibRef

Li, Y.F.[Yu-Feng], Lu, J.[Jiyang], Chen, H.M.[Hong-Ming], Wu, X.[Xianhao], Chen, X.[Xiang],
Dilated Convolutional Transformer for High-Quality Image Deraining,
UG23(4199-4207)
IEEE DOI 2309
BibRef

Wang, Y.L.[Ying-Long], Ma, C.[Chao], Liu, J.Z.[Jian-Zhuang],
SmartAssign:Learning A Smart Knowledge Assignment Strategy for Deraining and Desnowing,
CVPR23(3677-3686)
IEEE DOI 2309
BibRef

Chen, X.[Xiang], Li, H.[Hao], Li, M.Q.[Ming-Qiang], Pan, J.S.[Jin-Shan],
Learning A Sparse Transformer Network for Effective Image Deraining,
CVPR23(5896-5905)
IEEE DOI 2309
BibRef

Yan, Z.Y.[Zhao-Yong], Ma, L.Y.[Li-Yan], Luo, X.F.[Xiang-Feng], Sun, Y.[Yan],
Multi-scale and Multi-stage Deraining Network with Fourier Space Loss,
MMMod23(II: 575-586).
Springer DOI 2304
BibRef

Rai, S.N.[Shyam Nandan], Saluja, R.[Rohit], Arora, C.[Chetan], Balasubramanian, V.N.[Vineeth N], Subramanian, A.[Anbumani], Jawahar, C.V.,
FLUID: Few-Shot Self-Supervised Image Deraining,
WACV22(418-427)
IEEE DOI 2202
Image segmentation, Rain, Fluids, Snow, Semantics, Noise reduction, Transfer, Few-shot, Vision Systems and Applications BibRef

Wang, S.[Shuai], Zhu, L.[Lei], Fu, H.Z.[Hua-Zhu], Qin, J.[Jing], Schönlieb, C.B.[Carola-Bibiane], Feng, W.[Wei], Wang, S.[Song],
Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior,
ECCV22(XIX:565-582).
Springer DOI 2211
BibRef

Hu, Y.Z.[Yu-Zhang], Yang, W.H.[Wen-Han], Liu, J.Y.[Jia-Ying], Guo, Z.M.[Zong-Ming],
Rain-Prior Injected Knowledge Distillation for Single Image Deraining,
ICIP22(2571-2575)
IEEE DOI 2211
Knowledge engineering, Rain, Feature extraction, Noise measurement, Knowledge transfer, Single Image Deraining, Recurrent Distillation BibRef

Chen, Z.B.[Ze-Bin], Wang, Y.G.[Yuan-Gen],
DTT-Net: Dual-Domain Translation Transformer for Semi-Supervised Image Deraining,
ICIP22(1621-1625)
IEEE DOI 2211
Training, Visualization, Rain, Codes, Benchmark testing, Transformers, Image deraining, Semi-supervised learning, Transformer, Domain gap BibRef

Shyam, P.[Pranjay], Kim, K.S.[Kyung-Soo], Yoon, K.J.[Kuk-Jin],
GIQE: Generic Image Quality Enhancement via Nth Order Iterative Degradation,
CVPR22(2067-2077)
IEEE DOI 2210
Degradation, Training, Image quality, Rain, Heuristic algorithms, Transformers, Image restoration, Low-level vision, Vision applications and systems BibRef

Yu, Y.[Yi], Yang, W.H.[Wen-Han], Tan, Y.P.[Yap-Peng], Kot, A.C.[Alex C.],
Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond,
CVPR22(6003-6012)
IEEE DOI 2210
Rain, Systematics, Codes, Perturbation methods, Machine vision, Benchmark testing, Low-level vision BibRef

Ye, Y.T.[Yun-Tong], Yu, C.F.[Chang-Feng], Chang, Y.[Yi], Zhu, L.[Lin], Zhao, X.L.[Xi-Le], Yan, L.X.[Lu-Xin], Tian, Y.H.[Yong-Hong],
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity,
CVPR22(5811-5820)
IEEE DOI 2210
Learning systems, Rain, Pattern recognition, Image restoration, Task analysis, Low-level vision BibRef

Zou, W.Q.[Wei-Qi], Wang, Y.[Yang], Fu, X.Y.[Xue-Yang], Cao, Y.[Yang],
Dreaming to Prune Image Deraining Networks,
CVPR22(6013-6022)
IEEE DOI 2210
Degradation, Adaptation models, Data privacy, Image coding, Rain, Computational modeling, Data models, Low-level vision BibRef

Purohit, K.[Kuldeep], Suin, M.[Maitreya], Rajagopalan, A.N., Boddeti, V.N.[Vishnu Naresh],
Spatially-Adaptive Image Restoration using Distortion-Guided Networks,
ICCV21(2289-2299)
IEEE DOI 2203
Location awareness, Degradation, Knowledge engineering, Visualization, Rain, Modulation, Low-level and physics-based vision BibRef

Xiao, J.[Jie], Zhou, M.[Man], Fu, X.Y.[Xue-Yang], Liu, A.[Aiping], Zha, Z.J.[Zheng-Jun],
Improving De-raining Generalization via Neural Reorganization,
ICCV21(4967-4976)
IEEE DOI 2203
Training, Knowledge engineering, Rain, Limiting, Computational modeling, Biological system modeling, BibRef

Chen, X.[Xiang], Fan, Z.T.[Zhen-Tao], Li, P.P.[Peng-Peng], Dai, L.G.[Long-Gang], Kong, C.[Caihua], Zheng, Z.R.[Zhuo-Ran], Huang, Y.F.[Yu-Feng], Li, Y.F.[Yu-Feng],
Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning,
ECCV22(XVII:632-648).
Springer DOI 2211
BibRef

Chen, X.[Xiang], Pan, J.S.[Jin-Shan], Jiang, K.[Kui], Li, Y.F.[Yu-Feng], Huang, Y.F.[Yu-Feng], Kong, C.[Caihua], Dai, L.G.[Long-Gang], Fan, Z.T.[Zhen-Tao],
Unpaired Deep Image Deraining Using Dual Contrastive Learning,
CVPR22(2007-2016)
IEEE DOI 2210
Learning systems, Rain, Computational modeling, Pattern recognition, Image restoration, Self- semi- meta- unsupervised learning BibRef

Liu, Y.[Yang], Yue, Z.[Ziyu], Pan, J.S.[Jin-Shan], Su, Z.X.[Zhi-Xun],
Unpaired Learning for Deep Image Deraining with Rain Direction Regularizer,
ICCV21(4733-4741)
IEEE DOI 2203
Rain, Estimation, Semisupervised learning, Benchmark testing, Image reconstruction, Low-level and physics-based vision, Computational photography BibRef

Yi, Q.[Qiaosi], Li, J.C.[Jun-Cheng], Dai, Q.[Qinyan], Fang, F.[Faming], Zhang, G.X.[Gui-Xu], Zeng, T.Y.[Tie-Yong],
Structure-Preserving Deraining with Residue Channel Prior Guidance,
ICCV21(4218-4227)
IEEE DOI 2203
Image quality, Rain, Image recognition, Codes, Refining, Image restoration, Low-level and physics-based vision, BibRef

Zhou, J.Y.[Jing-Yuan], Leong, C.[Chaktou], Lin, M.[Minyi], Liao, W.T.[Wan-Tong], Li, C.D.[Cong-Duan],
Task Adaptive Network for Image Restoration with Combined Degradation Factors,
VAQuality22(1-8)
IEEE DOI 2202
Degradation, Adaptation models, Rain, Adaptive systems, Conferences, Distortion BibRef

Zheng, S.[Shen], Lu, C.J.[Chang-Jie], Wu, Y.X.[Yu-Xiong], Gupta, G.[Gaurav],
SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining,
VAQuality22(52-62)
IEEE DOI 2202
Bridges, Deep learning, Image segmentation, Rain, Handheld computers, Semantics, Lighting BibRef

Lee, Y.[Younkwan], Yoo, H.[Hyeongjun], Jeon, M.[Moongu],
Learning To Disentangle Representations for Rain Streak Removal,
ICIP21(574-578)
IEEE DOI 2201
Training, Rain, Visual analytics, Image processing, Computational modeling, Estimation, Rain streak removal, Disentangled representation 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.Y.[Han-Yu], 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.S.[Zong-Sheng], 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.B.[Huai-Bo], Yu, A.J.[Ai-Jing], 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.Q.[Si-Qi], 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.R.[Xin-Ran], 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

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

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 .


Last update:Mar 16, 2024 at 20:36:19