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Multi-Scale Compressed Sensing Based On Split Augmented Lagrangian Shrinkage Algorithm For Image Super-Resolution Reconstruction Cover

Multi-Scale Compressed Sensing Based On Split Augmented Lagrangian Shrinkage Algorithm For Image Super-Resolution Reconstruction

International Journal on Smart Sensing and Intelligent Systems
Volume 9 (2016): Issue 2 (January 2016)
By: Tian Shu-yao and  Hu Chun-hai  
Open Access
|Jun 2016

Authors

Tian Shu-yao

514126299@qq.com

School of Electrical Engineering, Yanshan University, Qinhuangdao, P.R. China
School of Electromechanical, Hebei Normal University Of Science & Technology, Qinhuangdao, P.R. China

Hu Chun-hai

School of Electrical Engineering, Yanshan University, Qinhuangdao, P.R. China
DOI: https://doi.org/10.21307/ijssis-2017-884 | Journal eISSN: 1178-5608
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Language: English
Page range: 563 - 579
Submitted on: Dec 16, 2015
|
Accepted on: Mar 21, 2016
|
Published on: Jun 1, 2016
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
multi-scale compressed sensing,
discrete Shearlet transform,
super-resolution reconstruction algorithm,
measurement matrix
Related subjects:
Engineering,
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© 2016 Tian Shu-yao, Hu Chun-hai, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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