Mobile Image Processing
Mobile Image Processing is a computational methodology that enables the acquisition, enhancement, analysis, and manipulation of visual data on portable devices, distinguished by its optimization for limited resources such as processing power, memory, and energy consumption inherent to mobile platforms.
512
Publications
20.6K
Citations
2K
Authors
584
Institutions
Publications per year
2017–2026
179
Parents
512
Deep bilateral learning for real-time image enhancement
Michaël Gharbi, Jiawen Chen, Jonathan T. Barron et al. · ACM Transactions on Graphics · 2017 · 823 citations · Full text
Real-time computer vision with OpenCV
Kari Pulli, Anatoly Baksheev, Kirill Kornyakov et al. · Communications of the ACM · 2012 · 435 citations
Andrew Howard, Mark Sandler, Bo Chen et al. · 2019 · 431 citations · Full text
MobileOne: An Improved One millisecond Mobile Backbone
Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu et al. · 2023 · 319 citations
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Stanford University
Stanford, United States
11 h-index
33 publications
1.8K citations
Nokia (Finland)
Espoo, Finland
10 h-index
26 publications
964 citations

Pennsylvania State University
State College, United States
8 h-index
25 publications
838 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
22 publications
826 citations
Microsoft Research Asia (China)
Beijing, China
7 h-index
19 publications
1K citations
Palo Alto Research Center
Palo Alto, United States
7 h-index
23 publications
1.3K citations
Nokia (United States)
Coppell, United States
6 h-index
20 publications
1.2K citations
Google (United States)
Mountain View, United States
6 h-index
25 publications
8.4K citations
1–8 of 584
12 publications · 357 citations
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8 publications · 151 citations
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Repository · 8 publications · 485 citations
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6 publications · 158 citations
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4 publications · 127 citations
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