Reconstruction-free compressive vision for surveillance applications / Henry Braun, Pavan Turaga, Andreas Spanias, Sameeksha Katoch, Suren Jayasuriya, and Cihan Tepedelenlioglu.
Compressed sensing (CS) allows signals and images to be reliably inferred from undersampled measurements. Exploiting CS allows the creation of new types of high-performance sensors including infrared cameras and magnetic resonance imaging systems. Advances in computer vision and deep learning have e...
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| Online Access: |
Full Text (via Morgan & Claypool) |
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| Main Authors: | , , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
[San Rafael, California] :
Morgan & Claypool,
[2019]
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| Series: | Synthesis lectures on signal processing ;
#17. |
| Subjects: |
Internet
Full Text (via Morgan & Claypool)Online
| Call Number: |
TK6680.3 .B737 2019eb
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| TK6680.3 .B737 2019eb | Available |