19.4.6.1 Video Deblurring, Image Restoration

Chapter Contents (Back)
Deblurring. Video Deblurring.
See also Video Super-Resolution, Resolution Enhancement.
See also Restoration from Blurred Images, Motion Blur.

He, H.[Hu], Kondi, L.P.,
An Image Super-Resolution Algorithm for Different Error Levels Per Frame,
IP(15), No. 3, March 2006, pp. 592-603.
IEEE DOI 0604
BibRef
Earlier:
A Regularization Framework for Joint Blur Estimation and Super-Resolution of Video Sequences,
ICIP05(III: 329-332).
IEEE DOI 0512
BibRef
Earlier:
MAP based resolution enhancement of video sequences using a haber-markov random field image prior model,
ICIP03(II: 933-936).
IEEE DOI 0312
BibRef

Tai, Y.W.[Yu-Wing], Du, H.[Hao], Brown, M.S.[Michael S.], Lin, S.[Stephen],
Correction of Spatially Varying Image and Video Motion Blur Using a Hybrid Camera,
PAMI(32), No. 6, June 2010, pp. 1012-1028.
IEEE DOI 1004
BibRef
Earlier:
Image/video deblurring using a hybrid camera,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Tai, Y.W.[Yu-Wing], Liu, S.C.[Shuai-Cheng], Brown, M.S.[Michael S.], Lin, S.[Stephen],
Super resolution using edge prior and single image detail synthesis,
CVPR10(2400-2407).
IEEE DOI 1006
BibRef

Dong, W.S.[Wei-Sheng], Zhang, L.[Lei], Shi, G.M.[Guang-Ming], Wu, X.L.[Xiao-Lin],
Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization,
IP(20), No. 7, July 2011, pp. 1838-1857.
IEEE DOI 1107

See also Sparse Representation Based Image Interpolation With Nonlocal Autoregressive Modeling. BibRef

Lee, D.B., Jeong, S.C.[Shin Cheol], Lee, Y.G.[Yun-Gu], Song, B.C.[Byung Cheol],
Video Deblurring Algorithm Using Accurate Blur Kernel Estimation and Residual Deconvolution Based on a Blurred-Unblurred Frame Pair,
IP(22), No. 3, March 2013, pp. 926-940.
IEEE DOI 1302
BibRef

Lee, D.B.[Dong-Bok], Heo, B.Y.[Bo-Young], Song, B.C.[Byung Cheol],
Video deblurring based on bidirectional motion compensation and accurate blur kernel estimation,
ICIP13(895-899)
IEEE DOI 1402
Decision support systems BibRef

Jeong, S.C.[Shin Cheol], Lee, T.H.[Tae Hwan], Song, B.C.[Byung Cheol], Lee, Y.G.[Yun-Gu], Choi, Y.L.[Yang-Lim],
Video deblurring algorithm using an adjacent unblurred frame,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Qiao, C., Lau, R.W.H., Sheng, B., Zhang, B., Wu, E.,
Temporal Coherence-Based Deblurring Using Non-Uniform Motion Optimization,
IP(26), No. 10, October 2017, pp. 4991-5004.
IEEE DOI 1708
Cameras, Computational modeling, Image reconstruction, Kernel, Motion segmentation, Video sequences, Videos, Video deblurring, image deblurring, non-uniform blur kernel. BibRef

Kim, T.H., Nah, S., Lee, K.M.,
Dynamic Video Deblurring Using a Locally Adaptive Blur Model,
PAMI(40), No. 10, October 2018, pp. 2374-2387.
IEEE DOI 1809
BibRef
Earlier: A2, A1, A3:
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring,
CVPR17(257-265)
IEEE DOI 1711
Kernel, Cameras, Optical imaging, Motion segmentation, Dynamics, Adaptive optics, Estimation, Video deblurring, non-uniform blur, non-uniform blur dataset. Image restoration, Training BibRef

Li, J.[Jing], Gong, W.G.[Wei-Guo], Zhan, H.M.[Hui-Mei], Li, W.H.[Wei-Hong],
Combining weighted curvelet accumulation with motion vector duty cycle for nonuniform video deblurring,
SP:IC(70), 2019, pp. 89-103.
Elsevier DOI 1812
Weighted curvelet accumulation, Motion vector duty cycle, Nonuniform video deblurring BibRef

Zhang, K., Luo, W., Zhong, Y., Ma, L., Liu, W., Li, H.,
Adversarial Spatio-Temporal Learning for Video Deblurring,
IP(28), No. 1, January 2019, pp. 291-301.
IEEE DOI 1810
cameras, convolution, feedforward neural nets, image restoration, learning (artificial intelligence), neural net architecture, video deblurring BibRef

Pan, L.Y.[Li-Yuan], Dai, Y.C.[Yu-Chao], Liu, M.M.[Miao-Miao], Porikli, F.M.[Fatih M.], Pan, Q.[Quan],
Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation,
IP(29), No. 1, 2020, pp. 1748-1761.
IEEE DOI 1912
BibRef
Earlier: A1, A2, A3, A4, Only:
Simultaneous Stereo Video Deblurring and Scene Flow Estimation,
CVPR17(6987-6996)
IEEE DOI 1711
Estimation, Cameras, Motion segmentation, Object segmentation, Image segmentation, Kernel, Semantics, Stereo deblurring, joint optimization. Benchmark testing, Estimation, Motion estimation, Optical imaging, BibRef

Xiang, X.G.[Xin-Guang], Wei, H.[Hao], Pan, J.S.[Jin-Shan],
Deep Video Deblurring Using Sharpness Features From Exemplars,
IP(29), 2020, pp. 8976-8987.
IEEE DOI 2009
Image restoration, Feature extraction, Optical imaging, Decoding, Estimation, Learning systems, Kernel, Video deblurring, optical flow, exemplars BibRef

Pan, J.S.[Jin-Shan], Xu, B.M.[Bo-Ming], Bai, H.R.[Hao-Ran], Tang, J.H.[Jin-Hui], Yang, M.H.[Ming-Hsuan],
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior and Non-Local Spatial-Temporal Similarity,
PAMI(45), No. 8, August 2023, pp. 9411-9425.
IEEE DOI 2307
BibRef
Earlier: A1, A3, A4, Only:
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior,
CVPR20(3040-3048)
IEEE DOI 2008
Optical flow, Image restoration, Convolutional neural networks, Superresolution, Training, Convolution, Computational modeling, video deblurring. Optical imaging, Optical computing, Estimation, Optical feedback BibRef

Yang, Y.X.[Yi-Xin], Dong, J.X.[Jiang-Xin], Tang, J.H.[Jin-Hui], Pan, J.S.[Jin-Shan],
Colormnet: A Memory-based Deep Spatial-temporal Feature Propagation Network for Video Colorization,
ECCV24(IV: 336-352).
Springer DOI 2412
BibRef

Pan, J.S.[Jin-Shan], Xu, B.M.[Bo-Ming], Dong, J.X.[Jiang-Xin], Ge, J.J.[Jian-Jun], Tang, J.H.[Jin-Hui],
Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring,
CVPR23(22191-22200)
IEEE DOI 2309
BibRef

Wang, T.[Tao], Zhang, X.Q.[Xiao-Qin], Jiang, R.[Runhua], Zhao, L.[Li], Chen, H.L.[Hui-Ling], Luo, W.H.[Wen-Han],
Video Deblurring via Spatiotemporal Pyramid Network and Adversarial Gradient Prior,
CVIU(203), 2021, pp. 103135.
Elsevier DOI 2101
Video deblurring, Spatiotemporal pyramid, Adversarial learning, Image prior BibRef

Li, Y.[Yawei], Zhang, H.[Hong], Wu, Y.J.[Yu-Jie], Yuan, D.[Ding],
Dynamic Scene Video Deblurring Using Robust Incremental Weighted Fourier Aggregation,
SPLetters(28), 2021, pp. 1565-1569.
IEEE DOI 2108
Smoothing methods, Signal processing algorithms, Aggregates, Training, Kernel, Computational complexity, Pipelines, lucky region BibRef

Nie, K.M.[Kai-Ming], Shi, X.P.[Xiao-Pei], Cheng, S.[Silu], Gao, Z.Y.[Zhi-Yuan], Xu, J.T.[Jiang-Tao],
High Frame Rate Video Reconstruction and Deblurring Based on Dynamic and Active Pixel Vision Image Sensor,
CirSysVideo(31), No. 8, August 2021, pp. 2938-2952.
IEEE DOI 2108
Optical flow, Image reconstruction, Voltage control, Streaming media, Image sequences, Trajectory, Image restoration, deblur BibRef

Zhang, X.Q.[Xiao-Qin], Jiang, R.[Runhua], Wang, T.[Tao], Wang, J.X.[Jin-Xin],
Recursive Neural Network for Video Deblurring,
CirSysVideo(31), No. 8, August 2021, pp. 3025-3036.
IEEE DOI 2108
Image restoration, Task analysis, Convolution, Kernel, Computational modeling, Recurrent neural networks, temporal consistency BibRef

Liang, C.H.[Chih-Hung], Su, H.T.[Hung-Ting], Hsu, W.H.[Winston H.],
Learn from the past: Sequentially one-to-one video deblurring network,
JVCIR(78), 2021, pp. 103159.
Elsevier DOI 2107
Video deblurring, Deblurring, Image quality enhancement BibRef

Zhang, X.Q.[Xiao-Qin], Wang, T.[Tao], Jiang, R.[Runhua], Zhao, L.[Li], Xu, Y.[Yuewang],
Multi-Attention Convolutional Neural Network for Video Deblurring,
CirSysVideo(32), No. 4, April 2022, pp. 1986-1997.
IEEE DOI 2204
Task analysis, Image restoration, Feature extraction, Deep learning, Convolution, Indexes, Video deblurring, MACNN, multi-attention BibRef

Xu, Q.[Qian], Pan, J.S.[Jin-Shan], Qian, Y.T.[Yun-Tao],
Learning an Occlusion-Aware Network for Video Deblurring,
CirSysVideo(32), No. 7, July 2022, pp. 4312-4323.
IEEE DOI 2207
Feature extraction, Optical imaging, Image restoration, Costs, Nonlinear optics, Kernel, Convolution, Video deblurring, occlusion BibRef

Ji, B.[Bo], Yao, A.[Angela],
Multi-Scale Memory-Based Video Deblurring,
CVPR22(1909-1918)
IEEE DOI 2210
Deep learning, Runtime, Costs, Video sequences, Neural networks, Information retrieval, Low-level vision, Deep learning architectures and techniques BibRef

Cao, M.D.[Ming-Deng], Fan, Y.B.[Yan-Bo], Zhang, Y.[Yong], Wang, J.[Jue], Yang, Y.[Yujiu],
VDTR: Video Deblurring With Transformer,
CirSysVideo(33), No. 1, January 2023, pp. 160-171.
IEEE DOI 2301
Transformers, Feature extraction, Image restoration, Computational modeling, Adaptation models, Image reconstruction, spatio-temporal modeling BibRef

Wang, C.H.[Chao-Hua], Dong, W.S.[Wei-Sheng], Li, X.[Xin], Wu, F.F.[Fang-Fang], Wu, J.J.[Jin-Jian], Shi, G.M.[Guang-Ming],
Memory Based Temporal Fusion Network for Video Deblurring,
IJCV(131), No. 7, July 2023, pp. 1840-1856.
Springer DOI 2307
BibRef

Ren, W.Q.[Wen-Qi], Deng, S.Y.[Sen-You], Zhang, K.H.[Kai-Hao], Song, F.L.[Feng-Long], Cao, X.C.[Xiao-Chun], Yang, M.H.[Ming-Hsuan],
Fast Ultra High-Definition Video Deblurring via Multi-scale Separable Network,
IJCV(132), No. 5, May 2024, pp. 1817-1834.
Springer DOI 2405

See also Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning. BibRef

Deng, S.Y.[Sen-You], Ren, W.Q.[Wen-Qi], Yan, Y.Y.[Yan-Yang], Wang, T.[Tao], Song, F.L.[Feng-Long], Cao, X.C.[Xiao-Chun],
Multi-Scale Separable Network for Ultra-High-Definition Video Deblurring,
ICCV21(14010-14019)
IEEE DOI 2203
Visualization, Costs, Convolution, Computer architecture, Streaming media, Real-time systems, Image and video synthesis, BibRef

Xu, Q.[Qian], Hu, X.B.[Xia-Bin], Luo, D.H.[Dong-Hao], Tai, Y.[Ying], Wang, C.J.[Cheng-Jie], Qian, Y.T.[Yun-Tao],
Efficiently Exploiting Spatially Variant Knowledge for Video Deblurring,
CirSysVideo(34), No. 12, December 2024, pp. 12581-12593.
IEEE DOI 2501
Feature extraction, Image restoration, Convolution, Decoding, Kernel, Transformers, Optical flow, Video deblurring, temporal information, spatial information BibRef

Yang, W.[Wen], Wu, J.J.[Jin-Jian], Ma, J.[Jupo], Li, L.[Leida], Dong, W.S.[Wei-Sheng], Shi, G.M.[Guang-Ming],
Learning Frame-Event Fusion for Motion Deblurring,
IP(33), 2024, pp. 6836-6849.
IEEE DOI 2501
Transformers, Event detection, Cameras, Videos, Image restoration, Convolutional neural networks, Redundancy, Correlation, vision transformer BibRef


Kim, T.[Taewoo], Cho, H.[Hoonhee], Yoon, K.J.[Kuk-Jin],
Cmta: Cross-modal Temporal Alignment for Event-guided Video Deblurring,
ECCV24(LII: 1-19).
Springer DOI 2412
BibRef

Rao, C.[Chen], Li, G.Y.[Guang-Yuan], Lan, Z.[Zehua], Sun, J.[Jiakai], Luan, J.S.[Jun-Sheng], Xing, W.[Wei], Zhao, L.[Lei], Lin, H.Z.[Huai-Zhong], Dong, J.F.[Jian-Feng], Zhang, D.L.[Da-Long],
Rethinking Video Deblurring with Wavelet-aware Dynamic Transformer and Diffusion Model,
ECCV24(XLV: 421-437).
Springer DOI 2412
BibRef

He, J.T.[Jin-Ting], Tsai, F.J.[Fu-Jen], Wu, J.H.[Jia-Hao], Peng, Y.T.[Yan-Tsung], Tsai, C.C.[Chung-Chi], Lin, C.W.[Chia-Wen], Lin, Y.Y.[Yen-Yu],
Domain-adaptive Video Deblurring via Test-time Blurring,
ECCV24(XXX: 125-142).
Springer DOI 2412
BibRef

Zhang, H.C.[Hui-Cong], Xie, H.Z.[Hao-Zhe], Yao, H.X.[Hong-Xun],
Blur-Aware Spatio-Temporal Sparse Transformer for Video Deblurring,
CVPR24(3616-3626)
IEEE DOI 2410
DVD, Video sequences, Transformers, Feature extraction, Computational efficiency, Data mining, Video deblurring, Transformer BibRef

Zhong, Z.H.[Zhi-Hang], Cao, M.[Mingdeng], Ji, X.[Xiang], Zheng, Y.Q.[Yin-Qiang], Sato, I.[Imari],
Blur Interpolation Transformer for Real-World Motion from Blur,
CVPR23(5713-5723)
IEEE DOI 2309
BibRef

Zhu, Q.[Qi], Zhou, M.[Man], Zheng, N.[Naishan], Li, C.Y.[Chong-Yi], Huang, J.[Jie], Zhao, F.[Feng],
Exploring Temporal Frequency Spectrum in Deep Video Deblurring,
ICCV23(12394-12403)
IEEE DOI 2401
BibRef

Wang, Y.S.[Yu-Sheng], Lu, Y.F.[Yun-Fan], Gao, Y.[Ye], Wang, L.[Lin], Zhong, Z.H.[Zhi-Hang], Zheng, Y.Q.[Yin-Qiang], Yamashita, A.[Atsushi],
Efficient Video Deblurring Guided by Motion Magnitude,
ECCV22(XIX:413-429).
Springer DOI 2211
BibRef

Zhang, H.C.[Hui-Cong], Xie, H.Z.[Hao-Zhe], Yao, H.X.[Hong-Xun],
Spatio-Temporal Deformable Attention Network for Video Deblurring,
ECCV22(XVI:581-596).
Springer DOI 2211
BibRef

Shang, W.[Wei], Ren, D.W.[Dong-Wei], Zou, D.Q.[Dong-Qing], Ren, J.S.[Jimmy S.], Luo, P.[Ping], Zuo, W.M.[Wang-Meng],
Bringing Events into Video Deblurring with Non-consecutively Blurry Frames,
ICCV21(4511-4520)
IEEE DOI 2203
Interpolation, Superresolution, Detectors, Image restoration, Task analysis, Low-level and physics-based vision, BibRef

Imani, H.[Hassan], Islam, M.B.[Md Baharul],
Towards Stereoscopic Video Deblurring Using Deep Convolutional Networks,
ISVC21(II:337-348).
Springer DOI 2112
BibRef

Suin, M.[Maitreya], Rajagopalan, A.N.,
Gated Spatio-Temporal Attention-Guided Video Deblurring,
CVPR21(7798-7807)
IEEE DOI 2111
Adaptation models, Fuses, Computational modeling, Logic gates, Computational efficiency BibRef

Lin, S.N.[Song-Nan], Zhang, J.W.[Jia-Wei], Pan, J.S.[Jin-Shan], Jiang, Z.[Zhe], Zou, D.Q.[Dong-Qing], Wang, Y.T.[Yong-Tian], Chen, J.[Jing], Ren, J.[Jimmy],
Learning Event-driven Video Deblurring and Interpolation,
ECCV20(VIII:695-710).
Springer DOI 2011
BibRef

Yan, Y., Wu, Q., Xu, B., Zhang, J., Ren, W.,
VDFlow: Joint Learning for Optical Flow and Video Deblurring,
UG20(3808-3816)
IEEE DOI 2008
Optical imaging, Adaptive optics, Optical propagation, Optical fiber networks, Bidirectional control, Kernel, Estimation BibRef

Brehm, S., Scherer, S., Lienhart, R.,
High-Resolution Dual-Stage Multi-Level Feature Aggregation for Single Image and Video Deblurring,
NTIRE20(1872-1881)
IEEE DOI 2008
Image restoration, Kernel, Task analysis, Image resolution, Cameras, Aggregates, Feature extraction BibRef

Wu, J., Yu, X., Liu, D., Chandraker, M., Wang, Z.,
DAVID: Dual-Attentional Video Deblurring,
WACV20(2365-2374)
IEEE DOI 2006
DVD, Image restoration, Aggregates, Estimation, Cameras, Kernel, Visualization BibRef

Gast, J., Roth, S.,
Deep Video Deblurring: The Devil is in the Details,
CLI19(3824-3833)
IEEE DOI 2004
cameras, convolutional neural nets, image motion analysis, image restoration, learning (artificial intelligence), Deep learning BibRef

Zhou, S., Zhang, J., Pan, J., Zuo, W., Xie, H., Ren, J.,
Spatio-Temporal Filter Adaptive Network for Video Deblurring,
ICCV19(2482-2491)
IEEE DOI 2004
adaptive filters, cameras, image restoration, image sequences, motion estimation, video signal processing, video deblurring, Feature extraction BibRef

Nah, S.J.[Seung-Jun], Son, S.[Sanghyun], Lee, K.M.[Kyoung Mu],
Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring,
CVPR19(8094-8103).
IEEE DOI 2002
BibRef

Jin, M.G.[Mei-Guang], Hu, Z.[Zhe], Favaro, P.[Paolo],
Learning to Extract Flawless Slow Motion From Blurry Videos,
CVPR19(8104-8113).
IEEE DOI 2002
BibRef

Park, H., Lee, K.M.,
Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence,
ICCV17(4623-4631)
IEEE DOI 1802
cameras, image reconstruction, image resolution, image restoration, image sequences, optimisation, pose estimation, BibRef

Kim, T.H.[Tae Hyun], Lee, K.M., Schölkopf, B.[Bernhard], Hirsch, M.[Michael],
Online Video Deblurring via Dynamic Temporal Blending Network,
ICCV17(4058-4067)
IEEE DOI 1802
cameras, image motion analysis, image restoration, image sequences, motion estimation, recurrent neural nets, Streaming media BibRef

Tan, F., Liu, S., Zeng, L., Zeng, B.,
Kernel-free video deblurring via synthesis,
ICIP16(2683-2687)
IEEE DOI 1610
Cameras BibRef

Kim, T.H.[Tae Hyun], Lee, K.M.[Kyoung Mu],
Generalized video deblurring for dynamic scenes,
CVPR15(5426-5434)
IEEE DOI 1510
BibRef

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Split Bregman Motion Blur, Image Restoration .


Last update:Jan 20, 2025 at 11:36:25