Parallel linearized ADMM with application to multichannel image restoration and reconstruction

Abstract Many large-scale regularized inverse problems in imaging such as image restoration and reconstruction can be modeled as a generic objective function involves sum of nonsmooth but proximable terms, which are usually linear-operator-coupled. For the solution of these problems, a parallel line...

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Bibliographic Details

Published in:	EURASIP Journal on Image and Video Processing
Main Authors:	Chuan He, Wenshen Peng, Junwei Wang, Xiaowei Feng, Licheng Jiao
Format:	Article
Language:	English
Published:	SpringerOpen 2024-10-01
Subjects:	Nonsmooth convex optimization Parallel linearized alternating direction method of multipliers (PLADMM) Image restoration and reconstruction Total generalized variation (TGV)
Online Access:	https://doi.org/10.1186/s13640-024-00654-z