Embedded Image Processing Acceleration
Embedded Image Processing Acceleration is a specialized computational framework within reconfigurable embedded systems that optimizes the execution of image processing tasks through hardware-software co-design to achieve real-time performance, energy efficiency, and adaptability in resource-constrained environments.
54
Publications
1.6K
Citations
166
Authors
75
Institutions
Publications per year
2017–2026
8
54
Accelerated image processing on FPGAs
Bruce A. Draper, J. Ross Beveridge, Charles A. Ross et al. · IEEE Transactions on Image Processing · 2003 · 137 citations
HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers
Peiyan Dong, Mengshu Sun, Alec Lu et al. · 2023 · 96 citations
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75
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
3 h-index
11 publications
204 citations

University of Bologna
Bologna, Italy
3 h-index
7 publications
279 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
6 publications
102 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
7 publications
70 citations
Adobe Systems (United States)
San Jose, United States
2 h-index
2 publications
278 citations
University of Monastir
Monastir, Tunisia
2 h-index
6 publications
142 citations
Queen's University Belfast
Belfast, United Kingdom
2 h-index
6 publications
138 citations

Université Clermont Auvergne
Clermont-Ferrand, France
2 h-index
5 publications
85 citations
1–8 of 75
8 publications · 139 citations
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MICPRO · 3 publications · 77 citations
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TOG · 2 publications · 278 citations
2
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2 publications · 29 citations
2
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2 publications · 34 citations
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