A Smoothed l0-Norm and l1-Norm Regularization Algorithm for Computed Tomography

The nonmonotone alternating direction algorithm (NADA) was recently proposed for effectively solving a class of equality-constrained nonsmooth optimization problems and applied to the total variation minimization in image reconstruction, but the reconstructed images suffer from the artifacts. Though...

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Bibliographic Details
Main Authors: Jiehua Zhu, Xiezhang Li
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2019/8398035
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