Deep-Learning Supervised Snapshot Compressive Imaging Enabled by an End-to-End Adaptive Neural Network-Reference-Cited by-同舟云学术

Deep-Learning Supervised Snapshot Compressive Imaging Enabled by an End-to-End Adaptive Neural Network

Published:2022-06 Issue:4 Volume:16 Page:688-699
ISSN:1932-4553
Container-title:IEEE Journal of Selected Topics in Signal Processing
language:
Short-container-title:IEEE J. Sel. Top. Signal Process.

Author:

Marquez Miguel¹,Lai Yingming¹,Liu Xianglei¹,Jiang Cheng¹,Zhang Shian²,Arguello Henry³^ORCID,Liang Jinyang¹^ORCID

Affiliation:

1. Laboratory of Applied Computational Imaging, Centre Énergie Matériaux Télécommunications, Institut National de la Recherche Scientifique, Université du Québec, Varennes, Québec, Canada

2. State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai, PR China

3. High Dimensional Signal Processing Research Group, Universidad Industrial de Santander, Bucaramanga, Santander, Colombia

Funder

Natural Sciences and Engineering Research Council of Canada

Fonds de Recherche du Qubec - Sant

Emerging Leaders in the Americas Program ELAP

Canada Foundation for Innovation and Ministre de lconomie et de lInnovation du Qubec

Ministre des Relations internationales et de la Francophonie du Qubec

Fonds de Recherche du Qubec - Nature et Technologies

Sistema General de Regalas de Colombia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/4200690/9829898/09769913.pdf?arnumber=9769913

Reference87 articles.

1. Scalable Video Coding Using Compressive Sensing

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5. Modern Digital Halftoning

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