4.11.2.6 Rain Removal, Color Correction

Chapter Contents (Back)
Rain Removal. Deraining.
See also Rain Drop Removal, Raindrop Detection.
See also Color Correction, Weather Effects.
See also Snow Removal.

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

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

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

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

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], 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, 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, Histograms, Interference, Rain, Gaussian mixture models, Rain removal, image decomposition, image prior, visibility recovery. 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. Computer vision, Convolutional codes, Dictionaries, Image coding, Optimization, Rain, Videos 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

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

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

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], 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

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

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
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

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

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

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

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

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

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

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

Cho, J., Kim, S., Min, D., Sohn, K.,
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

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

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

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

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

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

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

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

Xu, W.[Wei], Qiu, S.[Song], Huang, K.[Kunyao], Liu, W.[Wei], Zuo, J.Z.[Jun-Zhe], Guo, H.[Haoming],
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

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, Computer vision, Computer architecture, gated learning BibRef

Zhao, M.H.[Ming-Hua], Fan, H.[Hengrui], DU, S.[Shuangli], 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

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

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

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

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

Jiang, K.[Kui], Wang, Z.Y.[Zhong-Yuan], Yi, P.[Peng], Chen, C.[Chen], Han, Z.[Zhen], Lu, T.[Tao], Huang, B.[Baojin], 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

Yang, W.[Wenhan], Tan, R.T.[Robby T.], Wang, S.[Shiqi], Fang, Y.M.[Yu-Ming], Liu, J.[Jiaying],
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 BibRef

Song, Z.[Zhiying], Guo, Y.[Yuting], Ma, Z.[Zifan], Tang, R.[Ruocong], Liu, L.[Linfeng],
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


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

Chen, X.[Xiang], Huang, Y.[Yufeng], 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

Zheng, Z.Q.[Zi-Qiang], Wu, Y.[Yang], Han, X.[Xinran], Shi, J.B.[Jian-Bo],
Forkgan: Seeing into the Rainy Night,
ECCV20(III:155-170).
Springer DOI 2012
BibRef

Wang, Y.L.[Ying-Long], Song, Y.B.[Yi-Bing], Ma, C.[Chao], Zeng, B.[Bing],
Rethinking Image Deraining via Rain Streaks and Vapors,
ECCV20(XVII:367-382).
Springer DOI 2011
BibRef

Zhang, K.H.[Kai-Hao], Luo, W.H.[Wen-Han], Ren, W.Q.[Wen-Qi], Wang, J.W.[Jing-Wen], Zhao, F.[Fang], Ma, L.[Lin], Li, H.D.[Hong-Dong],
Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding,
ECCV20(XXVII:71-89).
Springer DOI 2011
BibRef

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

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

Jiang, K., Wang, Z., Yi, P., Chen, C., Huang, B., Luo, Y., Ma, J., Jiang, J.,
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

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

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

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

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.H.[Wen-Han], Liu, J.Y.[Jia-Ying], Feng, J.S.[Jia-Shi],
Frame-Consistent Recurrent Video Deraining With Dual-Level Flow,
CVPR19(1661-1670).
IEEE DOI 2002
BibRef

Ren, D.W.[Dong-Wei], Zuo, W.M.[Wang-Meng], Hu, Q.H.[Qing-Hua], Zhu, P.F.[Peng-Fei], Meng, D.Y.[De-Yu],
Progressive Image Deraining Networks: A Better and Simpler Baseline,
CVPR19(3932-3941).
IEEE DOI 2002
BibRef

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

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

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

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

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

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

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

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

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

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
Rain Drop Removal, Raindrop Detection .


Last update:Oct 20, 2021 at 09:45:26