4.11.2.6.1 Single Image Rain Removal, Color Correction

Chapter Contents (Back)
Rain Removal. Deraining. Single Image.
See also Single Image Dehazing.

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

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

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.[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

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.[Yongfang], 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.[Wending], 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, Pattern recognition 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.[Huijie], 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.[Mingdi], Yang, J.B.[Jing-Bing], Ling, N.[Nam], Liu, Y.H.[Yu-Hong], Fan, J.[Jiulun],
Lightweight single image deraining algorithm incorporating visual saliency,
IET-IPR(16), No. 12, 2022, pp. 3190-3200.
DOI Link 2209
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.[Zihong], 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, Pattern recognition 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

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

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 .


Last update:Nov 2, 2022 at 12:00:26