Fully Learnable Model for Task-Driven Image Compressed Sensing

This study primarily investigates image sensing at low sampling rates with convolutional neural networks (CNN) for specific applications. To improve the image acquisition efficiency in energy-limited systems, this study, inspired by compressed sensing, proposes a fully learnable model for task-drive...

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Detalles Bibliográficos
Autores principales: Zheng, Bowen, Zhang, Jianping, Sun, Guiling, Ren, Xiangnan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309481/
https://www.ncbi.nlm.nih.gov/pubmed/34300400
http://dx.doi.org/10.3390/s21144662

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309481/
https://www.ncbi.nlm.nih.gov/pubmed/34300400
http://dx.doi.org/10.3390/s21144662

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