Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling-Reference-Cited by-同舟云学术

Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling

Author:

Zha Zhiyuan¹^ORCID,Wen Bihan¹^ORCID,Yuan Xin²^ORCID,Ravishankar Saiprasad³^ORCID,Zhou Jiantao⁴^ORCID,Zhu Ce⁵^ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

2. Associate Professor at the School of Engineering, Westlake University, Hangzhou, Zhejiang, China

3. Departments of Computational Mathematics, Science and Engineering, and Biomedical Engineering, Michigan State University, East Lansing, MI, USA

4. Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China

5. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

Reference39 articles.

5. ImageNet classification with deep convolutional neural networks;krizhevsky;Proc Adv Neural Inf Process Syst,2012

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