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A parallel linearized ADMM with application to multichannel tgv-based image restoration
He, Chuan1; Hu, Changhua1; Li, Xuelong2
2018-02-20
会议名称24th IEEE International Conference on Image Processing, ICIP 2017
会议录名称2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
卷号2017-September
页码1187-1191
会议日期2017-09-17
会议地点Beijing, China
出版者IEEE Computer Society
产权排序2
摘要

A parallel linearized alternating direction method of multipliers (PLADMM) is proposed to solve large-scale imaging inverse problems, which involve the sum of several linear-operator-coupled nonsmooth terms. In the proposed method, the proximity operators of the nonsmooth terms are called individually at each iteration and the auxiliary variables existing in the classical ADMM are excluded. Therefore, the proposed method possesses a highly parallel structure and most of its substeps can be executed simultaneously. The application to multichannel total generalized variation (TGV) based image restoration shows the effectiveness of the proposed method. © 2017 IEEE.

作者部门光学影像学习与分析中心
DOI10.1109/ICIP.2017.8296469
收录类别EI ; ISTP
ISBN号9781509021758
语种英语
ISSN号15224880
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/30062
专题光学影像学习与分析中心
作者单位1.High-tech Institute of xi'An, China
2.Xian Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, China
推荐引用方式
GB/T 7714
He, Chuan,Hu, Changhua,Li, Xuelong. A parallel linearized ADMM with application to multichannel tgv-based image restoration[C]:IEEE Computer Society,2018:1187-1191.
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