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...

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Detalles Bibliográficos
Autores principales: Liao, Longlong, Li, Kenli, Yang, Canqun, Liu, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

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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