Motion Blur Reduction
Motion Blur Reduction is a computational imaging technique that distinguishes itself from other image enhancement methods by specifically mitigating the degradation caused by relative movement between the camera and the subject during exposure through algorithmic restoration or predictive deblurring.
363
Publications
24.6K
Citations
1.3K
Authors
408
Institutions
Publications per year
2017–2026
150
Parents
363
Removing camera shake from a single photograph
Rob Fergus, Barun Singh, Aaron Hertzmann et al. · ACM Transactions on Graphics · 2006 · 1.8K citations
High-quality motion deblurring from a single image
Qi Shan, Jiaya Jia, Aseem Agarwala · ACM Transactions on Graphics · 2008 · 1.4K citations
Scale-Recurrent Network for Deep Image Deblurring
Xin Tao, Hongyun Gao, Xiaoyong Shen et al. · 2018 · 1.3K citations
Unnatural L0 Sparse Representation for Natural Image Deblurring
Li Xu, Shicheng Zheng, Jiaya Jia · 2013 · 1.1K citations
1–5 of 363
1.3K
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Massachusetts Institute of Technology, United States
5 publications · 2.5K citations
5
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5
h-index
5
h-index
1–5 of 1.3K
408
Samsung (South Korea)
Seoul, South Korea
12 h-index
49 publications
1.4K citations

Beihang University
Beijing, China
7 h-index
16 publications
699 citations
National University of Singapore
Singapore, Singapore
7 h-index
14 publications
1.3K citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
7 h-index
19 publications
889 citations
Philips (Netherlands)
Amsterdam, The Netherlands
6 h-index
10 publications
282 citations
University of California, Berkeley
Berkeley, United States
5 h-index
17 publications
548 citations

Dongguk University
Seoul, South Korea
5 h-index
20 publications
429 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
5 h-index
13 publications
10.7K citations
1–8 of 408
19 publications · 469 citations
14
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TOG · 11 publications · 4K citations
11
h-index
9 publications · 885 citations
9
h-index
9 publications · 482 citations
9
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9 publications · 348 citations
9
h-index
1–5