Image Processing On GPUs is a computational framework that leverages the parallel processing architecture of graphics processing units to accelerate image analysis and transformation tasks, distinguishing itself from CPU-based methods through high-throughput, data-parallel execution of pixel- and feature-level operations.
591
Publications
24.4K
Citations
1.8K
Authors
618
Institutions
Publications per year
2017–2026
138
Variants
Gpu-accelerated Image Processing
Parents
Publications
591
Computer graphics and image processing
Tang Yu · Manufacturing Automation · 2010 · 458 citations
Machine Learning for Aerial Image Labeling
1–5 of 591
Authors
1.8K
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1–5 of 1.8K
Institutions
618
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
10 h-index
28 publications
1.1K citations
Chinese Academy of Sciences
Beijing, China
10 h-index
30 publications
645 citations
Stanford University
Stanford, United States
9 h-index
17 publications
860 citations
University of Illinois Urbana-Champaign
Urbana, United States
9 h-index
34 publications
3.1K citations
Nvidia (United Kingdom)
Reading, United Kingdom
8 h-index
13 publications
882 citations
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
26 publications
3.3K citations
Microsoft (United States)
Redmond, United States
7 h-index
12 publications
845 citations
Xidian University
Xi'an, China
7 h-index
17 publications
481 citations
1–8 of 618
Venues
- Journal of Real-Time Image Processing
20 publications · 532 citations
17
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- ACM Transactions on Graphics
TOG · 18 publications · 1.8K citations
16
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- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
11 publications · 414 citations
10
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- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
11 publications · 166 citations
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- Computer Graphics Forum
9 publications · 256 citations
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