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

• 作者: Jiehua Zhu Xiezhang Li
• 来源期刊: 计算机断层扫描(英文)
• 学科: 工学
• 关键词: COMPUTED TOMOGRAPHY NONMONOTONE ALTERNATING Direction ALGORITHM Reweighted ALGORITHM
• 年，卷（期）: 2019,（1）
• 页码范围: 1-9
• 页数: 9页
• 分类号: TP39

摘要

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.