Extra Proximal-Gradient Network with Learned Regularization for Image Compressive Sensing Reconstruction

Extra Proximal-Gradient Network with Learned Regularization for Image Compressive Sensing Reconstruction

Learned optimization algorithms are promising approaches to inverse problems by leveraging advanced numerical optimization schemes and deep neural network techniques in machine learning. In this paper, we propose a novel deep neural network architecture imitating an extra proximal gradient algorithm...

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Bibliographic Details
Main Authors: Qingchao Zhang, Xiaojing Ye, Yunmei Chen
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Journal of Imaging
Subjects:
image reconstruction
deep learning
learned optimization algorithm
Online Access:https://www.mdpi.com/2313-433X/8/7/178

Internet

https://www.mdpi.com/2313-433X/8/7/178

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