Low-Cost Image Compressive Sensing with Multiple Measurement Rates for Object Detection

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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Bibliographic Details
Main Authors: Longlong Liao, Kenli Li, Canqun Yang, Jie Liu
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
compressive sensing
multiple measurement rates
object detection
compression ratio
half-precision float
Online Access:https://www.mdpi.com/1424-8220/19/9/2079

Internet

https://www.mdpi.com/1424-8220/19/9/2079

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