Cascaded reconstruction network for compressive image sensing

Cascaded reconstruction network for compressive image sensing

Abstract The theory of compressed sensing (CS) has been successfully applied to image compression in the past few years, whose traditional iterative reconstruction algorithm is time-consuming. Fortunately, it has been reported deep learning-based CS reconstruction algorithms could greatly reduce the...

Full description

Bibliographic Details
Main Authors: Yahan Wang, Huihui Bai, Lijun Zhao, Yao Zhao
Format: Article
Language:English
Published: SpringerOpen 2018-08-01
Series:EURASIP Journal on Image and Video Processing
Subjects:
Compressive sensing
Sampling net
Reconstruction net
CSRNet
ASRNet
Online Access:http://link.springer.com/article/10.1186/s13640-018-0315-5

Internet

http://link.springer.com/article/10.1186/s13640-018-0315-5

Similar Items