4.11.2.7 Snow Removal

Chapter Contents (Back)
Snow Removal. Desnowing.
See also General Weather Enhancement, Restoration.

Barnum, P.C.[Peter C.], Narasimhan, S.G.[Srinivasa G.], Kanade, T.[Takeo],
Analysis of Rain and Snow in Frequency Space,
IJCV(86), No. 2-3, January 2010, pp. xx-yy.
Springer DOI 1001
BibRef

Wang, Y., Liu, S., Chen, C., Zeng, B.,
A Hierarchical Approach for Rain or Snow Removing in a Single Color Image,
IP(26), No. 8, August 2017, pp. 3936-3950.
IEEE DOI 1707
image classification, image colour analysis, image filtering, rain, dictionary learning, guided filter, hierarchical approach, variance sensitivity, visual quality, Atmospheric modeling, BibRef

Liu, Y.F., Jaw, D.W., Huang, S.C., Hwang, J.N.,
DesnowNet: Context-Aware Deep Network for Snow Removal,
IP(27), No. 6, June 2018, pp. 3064-3073.
IEEE DOI 1804
Atmospheric modeling, Feature extraction, Image color analysis, Image restoration, Rain, Shape, Snow, Snow removal, image restoration BibRef

Jaw, D.W., Huang, S.C., Kuo, S.Y.,
DesnowGAN: An Efficient Single Image Snow Removal Framework Using Cross-Resolution Lateral Connection and GANs,
CirSysVideo(31), No. 4, April 2021, pp. 1342-1350.
IEEE DOI 2104
Snow, Feature extraction, Network architecture, Generative adversarial networks, Atmospheric modeling, image restoration BibRef

Tian, J.D.[Jian-Dong], Han, Z.[Zhi], Ren, W.H.[Wei-Hong], Chen, X.[Xiai], Tang, Y.D.[Yan-Dong],
Snowflake Removal for Videos via Global and Local Low-Rank Decomposition,
MultMed(20), No. 10, October 2018, pp. 2659-2669.
IEEE DOI 1810
feature extraction, image matching, image motion analysis, image sequences, matrix decomposition, low-rank decomposition BibRef

Bahnsen, C.H., Moeslund, T.B.,
Rain Removal in Traffic Surveillance: Does it Matter?,
ITS(20), No. 8, August 2019, pp. 2802-2819.
IEEE DOI 1908
Rain, Snow, Surveillance, Cameras, Mathematical model, Image segmentation, Rain removal, snow removal, image restoration, road transportation BibRef

Yang, F.[Fei], Zhang, J.L.[Jia-Lu], Zhang, Q.[Qian],
Multi-scale capsule generative adversarial network for snow removal,
IET-CV(15), No. 7, 2021, pp. 474-486.
DOI Link 2109
BibRef

Li, M., Cao, X., Zhao, Q., Zhang, L., Meng, D.,
Online Rain/Snow Removal From Surveillance Videos,
IP(30), 2021, pp. 2029-2044.
IEEE DOI 2101
Videos, Rain, Task analysis, Dynamics, Snow, Convolutional codes, Surveillance, Multi-scale, convolutional sparse coding, alignment method BibRef

Zhang, K.H.[Kai-Hao], Li, R.Q.[Rong-Qing], Yu, Y.J.[Yan-Jiang], Luo, W.H.[Wen-Han], Li, C.S.[Chang-Sheng],
Deep Dense Multi-Scale Network for Snow Removal Using Semantic and Depth Priors,
IP(30), 2021, pp. 7419-7431.
IEEE DOI 2109
Snow, Semantics, Rain, Feature extraction, Image restoration, Task analysis, Image segmentation, Snow removal, dense multi-scale network BibRef

Quan, Y.H.[Yu-Hui], Tan, X.H.[Xiao-Heng], Huang, Y.[Yan], Xu, Y.[Yong], Ji, H.[Hui],
Image Desnowing via Deep Invertible Separation,
CirSysVideo(33), No. 7, July 2023, pp. 3133-3144.
IEEE DOI 2307
Feature extraction, Couplings, Snow, Image reconstruction, Task analysis, Neural networks, Meteorology, Image desnowing, deep learning BibRef

Cheng, B.D.[Bo-Dong], Li, J.C.[Jun-Cheng], Chen, Y.[Ying], Zeng, T.Y.[Tie-Yong],
Snow Mask Guided Adaptive Residual Network for Image Snow Removal,
CVIU(236), 2023, pp. 103819.
Elsevier DOI 2310
Image snow removal, Snow mask guided, Self-pixel attention, Cross-pixel attention, Multi-level guidance BibRef

Zhang, Z.J.[Zhi-Jia], Wu, S.[Sinan], Wang, S.X.[Shi-Xian],
Single-image snow removal algorithm based on generative adversarial networks,
IET-IPR(17), No. 12, 2023, pp. 3580-3588.
DOI Link 2310
image denoising, image restoration BibRef

Lin, J.H.[Jun-Hong], Jiang, N.F.[Nan-Feng], Zhang, Z.T.[Zhen-Tao], Chen, W.L.[Wei-Ling], Zhao, T.S.[Tie-Song],
LMQFormer: A Laplace-Prior-Guided Mask Query Transformer for Lightweight Snow Removal,
CirSysVideo(33), No. 11, November 2023, pp. 6225-6235.
IEEE DOI Code:
WWW Link. 2311
BibRef

Wang, J.[Jing], Xu, M.M.[Mei-Mei], Xue, H.Z.[Hua-Zhu], Huo, Z.Q.[Zhan-Qiang], Luo, F.[Fen],
Joint image restoration for object detection in snowy weather,
IET-CV(18), No. 6, 2024, pp. 759-771.
DOI Link 2409
image restoration, object detection BibRef

Seppänen, A.[Alvari], Ojala, R.[Risto], Tammi, K.[Kari],
Self-supervised multi-echo point cloud denoising in snowfall,
PRL(185), 2024, pp. 52-58.
Elsevier DOI Code:
WWW Link. 2410
Self-supervised learning, Denoising, Snowfall, Point cloud BibRef


Chen, H.Y.[Hao-Yu], Ren, J.J.[Jing-Jing], Gu, J.J.[Jin-Jin], Wu, H.T.[Hong-Tao], Lu, X.Q.[Xue-Quan], Cai, H.M.[Hao-Ming], Zhu, L.[Lei],
Snow Removal in Video: A New Dataset and A Novel Method,
ICCV23(13165-13176)
IEEE DOI 2401
BibRef

Ren, J.X.[Jing-Xu], Zhou, G.[Gang], Zhu, Y.[Yusen], Liu, Y.X.[Yang-Xin], Chen, J.[Juan], Jia, Z.H.[Zhen-Hong],
Unsupervised Domain Adaptive Learning for Image Desnowing with Real-World Data,
ICIP23(3050-3054)
IEEE DOI 2312
BibRef

Ye, T.[Tian], Chen, S.X.[Si-Xiang], Liu, Y.[Yun], Ye, Y.[Yi], Bai, J.B.[Jin-Bin], Chen, E.[Erkang],
Towards Real-time High-definition Image Snow Removal: Efficient Pyramid Network with Asymmetrical Encoder-decoder Architecture,
ACCV22(III:37-51).
Springer DOI 2307
BibRef

Shen, Y.[Yan], Xu, J.[Jiange], Shao, X.T.[Xiao-Tao], Zhu, J.B.[Jin-Biao], Wang, X.M.[Xin-Min],
Toward Snow Removal Via the Diversity and Complexity of Snow Image,
ICIP22(1966-1970)
IEEE DOI 2211
Graphical models, Codes, Shape, Fuses, Snow, Prediction algorithms, single image desnowing, convolutional neural network, diversity, complexity BibRef

Chen, W.T.[Wei-Ting], Fang, H.Y.[Hao-Yu], Hsieh, C.L.[Cheng-Lin], Tsai, C.C.[Cheng-Che], Chen, I.H.[I-Hsiang], Ding, J.J.[Jian-Jiun], Kuo, S.Y.[Sy-Yen],
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss,
ICCV21(4176-4185)
IEEE DOI 2203
Wavelet transforms, Codes, Shape, Snow, Task analysis, Low-level and physics-based vision, Computational photography BibRef

Sadeghzadeh, A.[Arezoo], Islam, M.B.[Md Baharul], Zaker, R.[Reza],
An Efficient Video Desnowing and Deraining Method with a Novel Variant Dataset,
CVS21(195-208).
Springer DOI 2109
BibRef

Chen, W.T.[Wei-Ting], Fang, H.Y.[Hao-Yu], Ding, J.J.[Jian-Jiun], Tsai, C.C.[Cheng-Che], Kuo, S.Y.[Sy-Yen],
Jstasr: Joint Size and Transparency-aware Snow Removal Algorithm Based on Modified Partial Convolution and Veiling Effect Removal,
ECCV20(XXI:754-770).
Springer DOI 2011
BibRef

Koziarski, M.[Michal], Cyganek, B.[Boguslaw],
Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter,
CVAUI18(16-25).
Springer DOI 1901
BibRef

Ren, W., Tian, J., Han, Z., Chan, A., Tang, Y.,
Video Desnowing and Deraining Based on Matrix Decomposition,
CVPR17(2838-2847)
IEEE DOI 1711
Matrix decomposition, Rain, Shape, Snow, Sparse matrices, Strain, Video, sequences BibRef

Kim, J.H.[Jin-Hwan], Sim, J.Y.[Jae-Young], Kim, C.S.[Chang-Su],
Stereo video deraining and desnowing based on spatiotemporal frame warping,
ICIP14(5432-5436)
IEEE DOI 1502
Estimation BibRef

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


Last update:Oct 22, 2024 at 22:09:59