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Low-Cost Image Compressive Sensing with Multiple Measurement Rates for Object Detection
When measurement rates grow, most Compressive Sensing (CS) methods suffer from an increase in overheads of transmission and storage of CS measurements, while reconstruction quality degrades appreciably when measurement rates reduce. To solve these problems in real scenarios such as large-scale distr...
Autores principales: | Liao, Longlong, Li, Kenli, Yang, Canqun, Liu, Jie |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539613/ https://www.ncbi.nlm.nih.gov/pubmed/31060279 http://dx.doi.org/10.3390/s19092079 |
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