ACT  Vol.8 No.1 , March 2019
A Reweighted Total Variation Algorithm with the Alternating Direction Method for Computed Tomography
Author(s) Xiezhang Li*, Jiehua Zhu
ABSTRACT
A variety of alternating direction methods have been proposed for solving a class of optimization problems. The applications in computed tomography (CT) perform well in image reconstruction. The reweighted schemes were applied in l1-norm and total variation minimization for signal and image recovery to improve the convergence of algorithms. In this paper, we present a reweighted total variation algorithm using the alternating direction method (ADM) for image reconstruction in CT. The numerical experiments for ADM demonstrate that adding reweighted strategy reduces the computation time effectively and improves the quality of reconstructed images as well.

Cite this paper
Li, X. and Zhu, J. (2019) A Reweighted Total Variation Algorithm with the Alternating Direction Method for Computed Tomography. Advances in Computed Tomography, 8, 1-9. doi: 10.4236/act.2019.81001.
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