Super-resolution Imaging
Super-Resolution Imaging is a digital image processing technique that belongs to the class of resolution enhancement methods, distinguished by its ability to reconstruct high-resolution acoustic images from low-resolution inputs through the incorporation of prior knowledge, signal modeling, or machine learning-driven interpolation.
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2017–2026
2.6K
Variants
Sr Imaging
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza et al. · Communications of the ACM · 2020 · 13.6K citations · Full text
Generative Adversarial Networks
arXiv (Cornell University) · 2014 · 4.6K citations · Full text
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Chinese Academy of Sciences
Beijing, China
52 h-index
653 publications
35.1K citations

Centre National de la Recherche Scientifique
Paris, France
46 h-index
341 publications
32.3K citations

Xidian University
Xi'an, China
42 h-index
360 publications
28.6K citations

Peking University
Beijing, China
41 h-index
353 publications
23.4K citations
University of Chinese Academy of Sciences
Beijing, China
41 h-index
266 publications
18.3K citations
Harvard University
Cambridge, United States
41 h-index
218 publications
66.2K citations
Wuhan University
Wuhan, China
40 h-index
248 publications
23.7K citations
Tsinghua University
Beijing, China
37 h-index
242 publications
20.2K citations
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108 publications · 14.8K citations
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77 publications · 8.9K citations
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74 publications · 6.3K citations
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93 publications · 4.8K citations
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117 publications · 5.6K citations
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