A new difference of anisotropic and isotropic total variation regularization method for image restoration

Total variation (TV) regularizer has diffusely emerged in image processing. In this paper, we propose a new nonconvex total variation regularization method based on the generalized Fischer-Burmeister function for image restoration. Since our model is nonconvex and nonsmooth, the specific difference...

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Main Authors: Benxin Zhang, Xiaolong Wang, Yi Li, Zhibin Zhu
Format: Article
Language:English
Published: AIMS Press 2023-07-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023661?viewType=HTML
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author Benxin Zhang
Xiaolong Wang
Yi Li
Zhibin Zhu
author_facet Benxin Zhang
Xiaolong Wang
Yi Li
Zhibin Zhu
author_sort Benxin Zhang
collection DOAJ
description Total variation (TV) regularizer has diffusely emerged in image processing. In this paper, we propose a new nonconvex total variation regularization method based on the generalized Fischer-Burmeister function for image restoration. Since our model is nonconvex and nonsmooth, the specific difference of convex algorithms (DCA) are presented, in which the subproblem can be minimized by the alternating direction method of multipliers (ADMM). The algorithms have a low computational complexity in each iteration. Experiment results including image denoising and magnetic resonance imaging demonstrate that the proposed models produce more preferable results compared with state-of-the-art methods.
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spelling doaj.art-f291b06f552f4702ad665797778254232023-08-09T01:10:24ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-07-01208147771479210.3934/mbe.2023661A new difference of anisotropic and isotropic total variation regularization method for image restorationBenxin Zhang0Xiaolong Wang1Yi Li2Zhibin Zhu31. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China1. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China1. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China2. School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004, ChinaTotal variation (TV) regularizer has diffusely emerged in image processing. In this paper, we propose a new nonconvex total variation regularization method based on the generalized Fischer-Burmeister function for image restoration. Since our model is nonconvex and nonsmooth, the specific difference of convex algorithms (DCA) are presented, in which the subproblem can be minimized by the alternating direction method of multipliers (ADMM). The algorithms have a low computational complexity in each iteration. Experiment results including image denoising and magnetic resonance imaging demonstrate that the proposed models produce more preferable results compared with state-of-the-art methods.https://www.aimspress.com/article/doi/10.3934/mbe.2023661?viewType=HTMLimage restorationtvfischer-burmeister functiondcaadmm
spellingShingle Benxin Zhang
Xiaolong Wang
Yi Li
Zhibin Zhu
A new difference of anisotropic and isotropic total variation regularization method for image restoration
Mathematical Biosciences and Engineering
image restoration
tv
fischer-burmeister function
dca
admm
title A new difference of anisotropic and isotropic total variation regularization method for image restoration
title_full A new difference of anisotropic and isotropic total variation regularization method for image restoration
title_fullStr A new difference of anisotropic and isotropic total variation regularization method for image restoration
title_full_unstemmed A new difference of anisotropic and isotropic total variation regularization method for image restoration
title_short A new difference of anisotropic and isotropic total variation regularization method for image restoration
title_sort new difference of anisotropic and isotropic total variation regularization method for image restoration
topic image restoration
tv
fischer-burmeister function
dca
admm
url https://www.aimspress.com/article/doi/10.3934/mbe.2023661?viewType=HTML
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