A Novel Learned Primal-Dual Network for Image Compressive Sensing

A Novel Learned Primal-Dual Network for Image Compressive Sensing

As an important theory of sparse signal recovery, Compressive Sensing (CS) optimization methods usually produce good performance when the signal is sparse in some transform domains. In recent years, many methods that combining deep learning with traditional iterative optimization algorithms have bee...

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Bibliographic Details
Main Authors: Chaolong Zhang, Yuanyuan Liu, Fanhua Shang, Yangyang Li, Hongying Liu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Unfolding network
primal-dual
learned optimization algorithms
compressive sensing
Online Access:https://ieeexplore.ieee.org/document/9349512/

Internet

https://ieeexplore.ieee.org/document/9349512/

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