ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing

• Published in: arXiv.org
• Main Authors: You, Di, Xie, Jingfen, Zhang, Jian
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 22.03.2021
• Subjects: Artificial neural networks; Blocking; Datasets; Flexibility; Image reconstruction; Source code

While deep neural networks have achieved impressive success in image compressive sensing (CS), most of them lack flexibility when dealing with multi-ratio tasks and multi-scene images in practical applications. To tackle these challenges, we propose a novel end-to-end flexible ISTA-unfolding deep ne...