Non-uniform Compressive Sensing Imaging Based on Image Saliency-Reference-Cited by-同舟云学术

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Non-uniform Compressive Sensing Imaging Based on Image Saliency

Published:2023-01 Issue:1 Volume:32 Page:159-165
ISSN:2075-5597
Container-title:Chinese Journal of Electronics
language:
Short-container-title:Chinese J. Elect.

Author:

Li Hongliang¹,Dai Feng²,Zhao Qiang²,Ma Yike²,Cao Juan²,Zhang Yongdong³

Affiliation:

1. University of Chinese Academy of Sciences,Beijing,China,100049

2. Key Lab of Intelligent Information Processing of Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences,Beijing,China,100190

3. University of Science and Technology of China,Hefei,China,230027

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/9970761/10038784/10038811.pdf?arnumber=10038811

Reference25 articles.

1. Low‐Rank Combined Adaptive Sparsifying Transform for Blind Compressed Sensing Image Recovery

2. Joint bayesian and greedy recovery for compressive sensing;jia;Chinese Journal of Electronics,2020

3. From Denoising to Compressed Sensing

4. An efficient augmented Lagrangian method with applications to total variation minimization

5. Nonlinear total variation based noise removal algorithms

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fast Algorithm of Passive Bistatic Radar Detection Based on Batches Processing of Sparse Representation and Recovery;Remote Sensing;2024-06-23

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