Adaptive Dual Conjudate Gradient Projection Algorithm for Compressed Sensing Image Reconstruction

DOI

10.2991/isccca.2013.47How to use a DOI?

Keywords

signal processing, gradient projection, compressed sensing, image reconstruction

Abstract

In order to improve the quality of noise signals reconstruction method, an algorithm of adaptive dual gradient projection for sparse reconstruction of compressed sensing theory is proposed. In ADGPSR algorithm, the pursuit direction is updated in two conjudate directions, the better original signals estimated value is computed by conjudate coefficient. Thus the reconstruction quality is improved. Experiment results show that, compared with the GPSR algorithm, the ADGPSR algorithm improves the signals reconstruction accuracy, improves PSNR of reconstruction signals, and exhibits higher robustness under different noise intensities.

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  - Haixia Yan
AU  - Yanjun Liu
PY  - 2013/02
DA  - 2013/02
TI  - Adaptive Dual Conjudate Gradient Projection Algorithm for Compressed Sensing Image Reconstruction
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 188
EP  - 191
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.47
DO  - 10.2991/isccca.2013.47
ID  - Yan2013/02
ER  -