An efficient iteratively reweighted L1-minimization for image reconstruction from compressed sensing

DOI

10.2991/icmt-13.2013.36How to use a DOI?

Keywords

Image reconstruction, Compressive sensing, -Minimization, Reweighted algorithm.

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 standard1 l -minimization and other iteratively reweighted 1 l -algorithms when applying for image reconstruction from CS.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xie Zhengguang
AU  - Li Hongjun
AU  - Li Yunhua
PY  - 2013/11
DA  - 2013/11
TI  - An efficient iteratively reweighted L1-minimization for image reconstruction from compressed sensing
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 293
EP  - 300
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.36
DO  - 10.2991/icmt-13.2013.36
ID  - Zhengguang2013/11
ER  -