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, 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

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

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

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

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.[Risheng], 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, Computer 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


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.[Hanyu], 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.[Zongsheng], 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.[Huaibo], Yu, A.[Aijing], 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.[Siqi], 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.[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

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

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

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:Jan 24, 2022 at 14:35:49