Super-Resolution Image Analysis is a computational methodology within image analysis that enables the quantitative interpretation and extraction of sub-diffraction-limit structural and dynamic information from super-resolution microscopy data by leveraging localization, segmentation, or statistical modeling techniques distinct from conventional diffraction-limited approaches.
280
Publications
18.4K
Citations
964
Authors
359
Institutions
Publications per year
2017–2026
211
Parents
Publications
280
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang, Ke Yu, Shixiang Wu et al. · arXiv (Cornell University) · 2018 · 1.1K citations · Full text
Image Super-Resolution with Non-Local Sparse Attention
Yiqun Mei, Yuchen Fan, Yuqian Zhou · 2021 · 578 citations
1–5 of 280
Authors
964
- KZ
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- YQ
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- PD
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- CD
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1–5 of 964
Institutions
359
Xidian University
Xi'an, China
10 h-index
30 publications
1.3K citations
Harbin Institute of Technology
Harbin, China
8 h-index
14 publications
876 citations
Tsinghua University
Beijing, China
8 h-index
25 publications
894 citations
University of Electronic Science and Technology of China
Chengdu, China
6 h-index
19 publications
515 citations
Wuhan University
Wuhan, China
6 h-index
19 publications
2K citations
Northwestern Polytechnical University
Xi'an, China
6 h-index
22 publications
2.6K citations
KU Leuven
Leuven, Belgium
6 h-index
21 publications
1.1K citations
Centre National de la Recherche Scientifique
Paris, France
6 h-index
17 publications
7K citations
1–8 of 359
Venues
- Neurocomputing
12 publications · 334 citations
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- arXiv (Cornell University)
Repository · 13 publications · 1.5K citations
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- IEEE Transactions on Geoscience and Remote Sensing
7 publications · 442 citations
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- Multimedia Tools and Applications
6 publications · 139 citations
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- Applied Intelligence
5 publications · 100 citations
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