Restoring Poissonian Images by a Combined First-Order and Second-Order Variation Approach

The restoration of blurred images corrupted by Poisson noise is an important topic in imaging science. The problem has recently received considerable attention in recent years. In this paper, we propose a combined first-order and second-order variation model to restore blurred images corrupted by Po...

Full description

Saved in:
Bibliographic Details
Main Authors: Le Jiang, Jin Huang, Xiao-Guang Lv, Jun Liu
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2013/274573
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832560569553518592
author Le Jiang
Jin Huang
Xiao-Guang Lv
Jun Liu
author_facet Le Jiang
Jin Huang
Xiao-Guang Lv
Jun Liu
author_sort Le Jiang
collection DOAJ
description The restoration of blurred images corrupted by Poisson noise is an important topic in imaging science. The problem has recently received considerable attention in recent years. In this paper, we propose a combined first-order and second-order variation model to restore blurred images corrupted by Poisson noise. Our model can substantially reduce the staircase effect, while preserving edges in the restored images, since it combines advantages of the first-order and second-order total variation. We study the issues of existence and uniqueness of a minimizer for this variational model. Moreover, we employ a gradient descent method to solve the associated Euler-Lagrange equation. Numerical results demonstrate the validity and efficiency of the proposed method for Poisson noise removal problem.
format Article
id doaj-art-fa32c4f6b83645298b859f35742a793f
institution Kabale University
issn 2314-4629
2314-4785
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-fa32c4f6b83645298b859f35742a793f2025-02-03T01:27:17ZengWileyJournal of Mathematics2314-46292314-47852013-01-01201310.1155/2013/274573274573Restoring Poissonian Images by a Combined First-Order and Second-Order Variation ApproachLe Jiang0Jin Huang1Xiao-Guang Lv2Jun Liu3School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, ChinaSchool of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, ChinaSchool of Science, Huaihai Institute of Technology, Lianyungang, Jiangsu 222005, ChinaSchool of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, ChinaThe restoration of blurred images corrupted by Poisson noise is an important topic in imaging science. The problem has recently received considerable attention in recent years. In this paper, we propose a combined first-order and second-order variation model to restore blurred images corrupted by Poisson noise. Our model can substantially reduce the staircase effect, while preserving edges in the restored images, since it combines advantages of the first-order and second-order total variation. We study the issues of existence and uniqueness of a minimizer for this variational model. Moreover, we employ a gradient descent method to solve the associated Euler-Lagrange equation. Numerical results demonstrate the validity and efficiency of the proposed method for Poisson noise removal problem.http://dx.doi.org/10.1155/2013/274573
spellingShingle Le Jiang
Jin Huang
Xiao-Guang Lv
Jun Liu
Restoring Poissonian Images by a Combined First-Order and Second-Order Variation Approach
Journal of Mathematics
title Restoring Poissonian Images by a Combined First-Order and Second-Order Variation Approach
title_full Restoring Poissonian Images by a Combined First-Order and Second-Order Variation Approach
title_fullStr Restoring Poissonian Images by a Combined First-Order and Second-Order Variation Approach
title_full_unstemmed Restoring Poissonian Images by a Combined First-Order and Second-Order Variation Approach
title_short Restoring Poissonian Images by a Combined First-Order and Second-Order Variation Approach
title_sort restoring poissonian images by a combined first order and second order variation approach
url http://dx.doi.org/10.1155/2013/274573
work_keys_str_mv AT lejiang restoringpoissonianimagesbyacombinedfirstorderandsecondordervariationapproach
AT jinhuang restoringpoissonianimagesbyacombinedfirstorderandsecondordervariationapproach
AT xiaoguanglv restoringpoissonianimagesbyacombinedfirstorderandsecondordervariationapproach
AT junliu restoringpoissonianimagesbyacombinedfirstorderandsecondordervariationapproach