Nest-DGIL: Nesterov-Optimized Deep Geometric Incremental Learning for CS Image Reconstruction-Reference-Cited by-同舟云学术

Nest-DGIL: Nesterov-Optimized Deep Geometric Incremental Learning for CS Image Reconstruction

Published:2023 Issue: Volume:9 Page:819-833
ISSN:2333-9403
Container-title:IEEE Transactions on Computational Imaging
language:
Short-container-title:IEEE Trans. Comput. Imaging

Author:

Fan Xiaohong¹^ORCID,Yang Yin²^ORCID,Chen Ke³^ORCID,Feng Yujie¹^ORCID,Zhang Jianping⁴^ORCID

Affiliation:

1. School of Mathematics and Computational Science, and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Xiangtan, China

2. School of Mathematics and Computational Science, and Hunan National Applied Mathematics Center, Xiangtan University, Xiangtan, China

3. Centre for Mathematical ImagingTechniques, Department of Mathematical Sciences, The University of Liverpool, Liverpool, U.K.

4. School of Mathematics and Computational Science, and the Key Laboratory of Intelligent Computing & Information Processing of the Ministry of Education, Xiangtan University, Xiangtan, China

Funder

National Natural Science Foundation of China

Education Bureau of Hunan Province, China

National Key Research and Development Program of China

Natural Science Foundation of Hunan Province

Project of Scientific Research Fund of the Hunan Provincial Science and Technology Department

Postgraduate Scientific Research Innovation Project of Hunan Province

Postgraduate Scientific Research Innovation Project of Xiangtan University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Mathematics,Computer Science Applications,Signal Processing