Single-image Deblurring
Single-Image Deblurring is a computational image restoration method that specifically addresses the recovery of a sharp, clear image from a single motion-blurred input by estimating and inverting the underlying blur kernel or through end-to-end learning, distinguishing it from multi-frame or video-based deblurring techniques.
144
Publications
10.4K
Citations
413
Authors
184
Institutions
Publications per year
2017–2026
100
Parents
144
High-quality motion deblurring from a single image
Qi Shan, Jiaya Jia, Aseem Agarwala · ACM Transactions on Graphics · 2008 · 1.4K citations
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
Orest Kupyn, Tetiana Martyniuk, Junru Wu et al. · 2019 · 1.1K citations
A Comparative Study for Single Image Blind Deblurring
Wei‐Sheng Lai, Jia‐Bin Huang, Zhe Hu et al. · 2016 · 461 citations
Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels
Kai Zhang, Wangmeng Zuo, Lei Zhang · 2019 · 414 citations
Single Image Motion Deblurring Using Transparency
Jiaya Jia · 2007 · 340 citations
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184

Chinese Academy of Sciences
Beijing, China
11 h-index
26 publications
1.1K citations
National University of Singapore
Singapore, Singapore
6 h-index
10 publications
931 citations
Peng Cheng Laboratory
Shenzhen, China
6 h-index
7 publications
656 citations
Institute of Information Engineering
Beijing, China
4 h-index
5 publications
350 citations

Harbin Institute of Technology
Harbin, China
4 h-index
8 publications
1K citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
15 publications
455 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
7 publications
3.7K citations

South China University of Technology
Guangzhou, China
4 h-index
10 publications
194 citations
1–8 of 184
8 publications · 325 citations
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6 publications · 271 citations
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3 publications · 123 citations
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5 publications · 346 citations
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5 publications · 173 citations
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