A Shrinkage Factor-based Iteratively Reweighted Least Squares Shrinkage Algorithm for Image Reconstruction

Jian Zhao, Chao Zhang, Jian Jia, Tingting Lu, Weiwen Su, Rui Wang, Shunli Zhang

Abstract

In order to improve convergence speed and reconstruction precision of IRLS shrinkage algorithm (SIRLS), an improved iteratively reweighted least squares shrinkage algorithm (I-SIRLS) is proposed in this paper. A Shrinkage factor is brought in each iteration process of SIRLS to adjust the weight coefficient to approximate the optimal Lagrange Multiplier gradually. Put simply, the convergence speed is accelerated. The proposed algorithm needs less measurements. It can also get rid of falling into local optimal solution easily and the dependence on sparsity level. Simulations show that the I-SIRLS algorithm has faster convergence speed and higher reconstruction precision compared to the SIRLS.

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Paper Citation


in Harvard Style

Zhao J., Zhang C., Jia J., Lu T., Su W., Wang R. and Zhang S. (2016). A Shrinkage Factor-based Iteratively Reweighted Least Squares Shrinkage Algorithm for Image Reconstruction . In ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME, ISBN 978-989-758-208-0, pages 289-293. DOI: 10.5220/0006449202890293


in Bibtex Style

@conference{isme16,
author={Jian Zhao and Chao Zhang and Jian Jia and Tingting Lu and Weiwen Su and Rui Wang and Shunli Zhang},
title={A Shrinkage Factor-based Iteratively Reweighted Least Squares Shrinkage Algorithm for Image Reconstruction},
booktitle={ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,},
year={2016},
pages={289-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006449202890293},
isbn={978-989-758-208-0},
}


in EndNote Style

TY - CONF
JO - ISME 2016 - Information Science and Management Engineering IV - Volume 1: ISME,
TI - A Shrinkage Factor-based Iteratively Reweighted Least Squares Shrinkage Algorithm for Image Reconstruction
SN - 978-989-758-208-0
AU - Zhao J.
AU - Zhang C.
AU - Jia J.
AU - Lu T.
AU - Su W.
AU - Wang R.
AU - Zhang S.
PY - 2016
SP - 289
EP - 293
DO - 10.5220/0006449202890293