4.11.2.6.1 Rain Drop Removal, Raindrop Detection

Chapter Contents (Back)
Rain Removal. Rain Drop. Raindrop.
See also Snow Removal.

You, S.[Shaodi], Tan, R.T.[Robby T.], Kawakami, R.[Rei], Mukaigawa, Y.[Yasuhiro], Ikeuchi, K.[Katsushi],
Adherent Raindrop Modeling, Detection and Removal in Video,
PAMI(38), No. 9, September 2016, pp. 1721-1733.
IEEE DOI 1609
BibRef
Earlier:
Raindrop Detection and Removal from Long Range Trajectories,
ACCV14(II: 569-585).
Springer DOI 1504
BibRef
Earlier: A1, A2, A3, A5, Only:
Adherent Raindrop Detection and Removal in Video,
CVPR13(1035-1042)
IEEE DOI 1309
BibRef

Machot, F.A.[Fadi Al], Ali, M.[Mouhannad], Mosa, A.H.[Ahmad Haj], Schwarzlmüller, C.[Christopher], Gutmann, M.[Markus], Kyamakya, K.[Kyandoghere],
Real-time raindrop detection based on cellular neural networks for ADAS,
RealTimeIP(16), No. 4, August 2019, pp. 931-943.
Springer DOI 1908
BibRef

Peng, J.[Jiayi], Xu, Y.[Yong], Chen, T.[Tianyi], Huang, Y.[Yan],
Single-image raindrop removal using concurrent channel-spatial attention and long-short skip connections,
PRL(131), 2020, pp. 121-127.
Elsevier DOI 2004
Image recovery, Raindrop removal, Deep nerual networks, Attention, Skip connection BibRef

Alletto, S., Carlin, C., Rigazio, L., Ishii, Y., Tsukizawa, S.,
Adherent Raindrop Removal with Self-Supervised Attention Maps and Spatio-Temporal Generative Adversarial Networks,
ADW19(2329-2338)
IEEE DOI 2004
computer vision, image denoising, image motion analysis, image restoration, neural nets, rain, supervised learning, weather 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, Computer vision, 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

Kim, J.[Jinah], Huh, D.[Dong], Kim, T.[Taekyung], Kim, J.[Jaeil], Yoo, J.[Jeseon], Shim, J.S.[Jae-Seol],
Raindrop-Aware GAN: Unsupervised Learning for Raindrop-Contaminated Coastal Video Enhancement,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Guo, Y., Chen, J., Ren, X., Wang, A., Wang, W.,
Joint Raindrop and Haze Removal From a Single Image,
IP(29), 2020, pp. 9508-9519.
IEEE DOI 1806
Rain, Shape, Artificial neural networks, Generative adversarial networks, Visualization, visual attention BibRef

Shao, M.W.[Ming-Wen], Li, L.[Le], Meng, D.Y.[De-Yu], Zuo, W.M.[Wang-Meng],
Uncertainty Guided Multi-Scale Attention Network for Raindrop Removal From a Single Image,
IP(30), 2021, pp. 4828-4839.
IEEE DOI 2105
BibRef

Luo, W.J.[Wen-Jie], Lai, J.H.[Jian-Huang], Xie, X.H.[Xiao-Hua],
Weakly Supervised Learning for Raindrop Removal on a Single Image,
CirSysVideo(31), No. 5, 2021, pp. 1673-1683.
IEEE DOI 2105
BibRef


Kokubo, Y.[Yoshihito], Asada, S.[Shusaku], Maruyama, H.[Hirotaka], Koide, M.[Masaru], Yamamoto, K.[Kohei], Suetsugu, Y.[Yoshihisa],
Removing Raindrops from a Single Image using Synthetic Data,
ICPR21(2081-2088)
IEEE DOI 2105
Training, Image segmentation, Shape, Adhesives, Training data, Cameras, Data models, Raindrop removal, Synthetic data BibRef

Lin, J., Dai, L.,
X-NET For Single Image Raindrop Removal,
ICIP20(1003-1007)
IEEE DOI 2011
Image restoration, Decoding, Rain, Convolution, Training, Image color analysis, Convolutional codes, Raindrop removal, X-Net BibRef

Quan, Y., Deng, S., Chen, Y., Ji, H.,
Deep Learning for Seeing Through Window With Raindrops,
ICCV19(2463-2471)
IEEE DOI 2004
convolutional neural nets, image restoration, learning (artificial intelligence), glass window, Machine learning BibRef

Liu, Y.F.[Yun-Fei], Li, Y.[Yu], You, S.D.[Shao-Di], Lu, F.[Feng],
Unsupervised Learning for Intrinsic Image Decomposition From a Single Image,
CVPR20(3245-3254)
IEEE DOI 2008
Image decomposition, Unsupervised learning, Task analysis, Supervised learning, Training data, Lighting, Training BibRef

Hao, Z.X.[Zhi-Xiang], You, S.D.[Shao-Di], Li, Y.[Yu], Li, K.M.[Kun-Ming], Lu, F.[Feng],
Learning From Synthetic Photorealistic Raindrop for Single Image Raindrop Removal,
PBDL19(4340-4349)
IEEE DOI 2004
cameras, computer vision, image motion analysis, image sensors, learning (artificial intelligence), object detection, rain, computer vision BibRef

Guo, T., Akcay, S., Adey, P.A., Breckon, T.P.,
On the Impact of Varying Region Proposal Strategies for Raindrop Detection and Classification Using Convolutional Neural Networks,
ICIP18(3413-3417)
IEEE DOI 1809
Proposals, Computer architecture, Automotive engineering, Feature extraction, Visualization, Sensors, Image color analysis, CNN BibRef

Fouad, E.[Elhassouni], Salma, A.[Alami], Abdelhak, E.[Ezzine],
Modelisation of Raindrops Based on Declivity Principle,
CGiV16(249-252)
IEEE DOI 1608
automotive components BibRef

Webster, D.D.[Dereck D.], Breckon, T.P.[Toby P.],
Improved raindrop detection using combined shape and saliency descriptors with scene context isolation,
ICIP15(4376-4380)
IEEE DOI 1512
all-weather computer vision BibRef

Nashashibi, F., de Charrette, R., Lia, A.,
Detection of unfocused raindrops on a windscreen using low level image processing,
ICARCV10(1410-1415).
IEEE DOI 1109
BibRef

Desvignes, M.[Michel], Molinie, G.[Gilles],
Raindrops size from video and image processing,
ICIP12(1341-1344).
IEEE DOI 1302
BibRef

Wu, Q.[Qi], Zhang, W.[Wende], Kumar, B.V.K.V.[B.V.K. Vijaya],
Raindrop detection and removal using salient visual features,
ICIP12(941-944).
IEEE DOI 1302
BibRef

Roser, M.[Martin], Geiger, A.[Andreas],
Video-based raindrop detection for improved image registration,
ObjectEvent09(570-577).
IEEE DOI 0910
BibRef

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Snow Removal .


Last update:Sep 19, 2021 at 21:11:01