Super-resolution Sampling
Super-Resolution Sampling is a computational image sampling technique that enhances spatial resolution by reconstructing high-resolution details from low-resolution inputs through learned or optimized sampling patterns.
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Publications
568
Citations
81
Authors
41
Institutions
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2017–2026
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Parents
16
Optimal coded sampling for temporal super-resolution
Amit Agrawal, Mohit Gupta, Ashok Veeraraghavan et al. · 2010 · 65 citations
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Monmouth University
West Long Branch, United States
1 h-index
1 publications
16 citations
Anqing Normal University
Anking, China
1 h-index
3 publications
66 citations
Yonsei University
Seoul, South Korea
1 h-index
4 publications
220 citations

Australian National University
Canberra, Australia
1 h-index
1 publications
42 citations

United States Naval Research Laboratory
Washington, United States
1 h-index
1 publications
16 citations
China Agricultural University
Beijing, China
1 h-index
7 publications
112 citations
Northrop Grumman (Germany)
Freiburg, Germany
1 h-index
1 publications
16 citations
Shanghai Institute of Optics and Fine Mechanics
Shanghai, China
1 h-index
1 publications
34 citations
1–8 of 41
2 publications · 34 citations
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1 publications · 10 citations
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1 publications · 16 citations
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TVCG · 1 publications · 42 citations
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1 publications · 55 citations
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