Structured residual sparsity for video compressive sensing reconstruction

Author:

Zha ZhiyuanORCID,Wen Bihan,Yuan XinORCID,Zhang JiachaoORCID,Zhou Jiantao,Zhu Ce

Funder

Jilin University

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference60 articles.

1. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information;Candes;IEEE Trans. Inform. Theory,2006

2. An introduction to compressive sampling;Candes;IEEE Signal Process. Mag.,2008

3. CS-MUVI: Video compressive sensing for spatial-multiplexing cameras;Sankaranarayanan,2012

4. Learning nonlocal sparse and low-rank models for image compressive sensing: Nonlocal sparse and low-rank modeling;Zha;IEEE Signal Process. Mag.,2023

5. Video compressive sensing reconstruction via reweighted residual sparsity;Zhao;IEEE Trans. Circuits Syst. Video Technol.,2017

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