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Vol. 165, Issue 2, February 2014, pp. 125-130

 

Bullet

 

A L1-Minimization for Image Reconstruction from Compressed Sensing
 

1 Jianping Hu, * 2 Zhengguang Xie, 2 Hongjun Li

1 Library of Nantong University
2 School of Electronics and Information, Nantong University
* Tel.: 086-18206294387

* E-mail: xie_zg@126.com

 

Received: 29 October 2013 /Accepted: 28 January 2014 /Published: 28 February 2014

Digital Sensors and Sensor Sysstems

 

Abstract: We proposed a simple and efficient iteratively reweighted algorithm to improve the recovery performance for image reconstruction from compressive sensing (CS). The numerical experiential results demonstrate that the new proposed method outperforms in image quality and computation complexity, compared with standard l1-minimization and other iteratively reweighted l1- algorithms when applying for image reconstruction from CS.

 

Keywords: Image reconstruction, Compressive sensing, l1-Minimization, Reweighted algorithm.

 

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