A Reweighted Total Variation Algorithm with the Alternating Direction Method for Computed Tomography

DOI: 10.4236/act.2019.81001   PDF   HTML     374 Downloads   542 Views  


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.

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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.

Conflicts of Interest

The authors declare no conflicts of interest.


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