Motion Blur Detection
Motion Blur Detection is a computational method that identifies and localizes blurred regions in images or video sequences caused by relative motion between the camera and the scene during exposure.
141
Publications
7.6K
Citations
430
Authors
182
Institutions
Publications per year
2017–2026
40
Parents
141
Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring
Hongguang Zhang, Yuchao Dai, Hongdong Li et al. · 2019 · 636 citations
Deep Video Deblurring for Hand-Held Cameras
Shuochen Su, Mauricio Delbracio, Jue Wang et al. · 2017 · 600 citations
Detection and removal of rain from videos
Kshitiz Garg, Shree K. Nayar · 2004 · 521 citations
Ziyi Shen, Wenguan Wang, Xiankai Lu et al. · 2019 · 324 citations
Image partial blur detection and classification
Renting Liu, Zhaorong Li, Jiaya Jia · 2008 · 273 citations
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182
Nanyang Technological University
Singapore, Singapore
7 h-index
16 publications
726 citations
Tianjin University
Tianjin, China
5 h-index
17 publications
972 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
10 publications
376 citations
National Chung Cheng University
Minxiong, Taiwan
4 h-index
8 publications
416 citations

Huazhong University of Science and Technology
Wuhan, China
3 h-index
7 publications
155 citations
University of Science and Technology of China
Hefei, China
3 h-index
12 publications
218 citations
National University of Singapore
Singapore, Singapore
3 h-index
5 publications
662 citations
University of Malaya
Kuala Lumpur, Malaysia
3 h-index
10 publications
336 citations
1–8 of 182
6 publications · 265 citations
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4 publications · 55 citations
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Repository · 3 publications · 103 citations
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3 publications · 91 citations
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3 publications · 208 citations
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