A Convex Variational Model for Restoring SAR Images Corrupted by Multiplicative Noise

Yang Hanmei; Li Jiachang; Shen LixinLu Jian

首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >A Convex Variational Model for Restoring SAR Images Corrupted by Multiplicative Noise

【24h】

A Convex Variational Model for Restoring SAR Images Corrupted by Multiplicative Noise

机译：A Convex Variational Model for Restoring SAR Images Corrupted by Multiplicative Noise

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

This paper studies a new convex variational model for denoising and deblurring images with multiplicative noise. Considering the statistical property of the multiplicative noise following Nakagami distribution, the denoising model consists of a data fidelity term, a quadratic penalty term, and a total variation regularization term. Here, the quadratic penalty term is mainly designed to guarantee the model to be strictly convex under a mild condition. Furthermore, the model is extended for the simultaneous denoising and deblurring case by introducing a blurring operator. We also study some mathematical properties of the proposed model. In addition, the model is solved by applying the primal-dual algorithm. The experimental results show that the proposed method is promising in restoring (blurred) images with multiplicative noise.

著录项

来源
《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2020年第20期|1952782.1-1952782.19|共19页
作者
Yang Hanmei; Li Jiachang; Shen LixinLu Jian;
展开▼
作者单位

Shenzhen Univ, Coll Math & Stat, Shenzhen Key Lab Adv Machine Learning & Applicat, Shenzhen 518060, Peoples R China;

Syracuse Univ, Dept Math, Syracuse, NY 13244 USA;

Shenzhen Univ, Coll Math & Stat, Shenzhen Key Lab Adv Machine Learning & Applicat, Shenzhen 518060, Peoples R China|Shenzhen Univ, Guangdong Key Lab Intelligent Informat Proc, Shenzhen 518060, Peoples R ChinaTongji Univ, Sch Software Engn, Shanghai 201804, Peoples R China|Shenzhen Univ, Coll Math & Stat, Shenzhen Key Lab Adv Machine Learning & Applicat, Shenzhen 518060, Peoples R China;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词

A Convex Variational Model for Restoring SAR Images Corrupted by Multiplicative Noise

摘要

著录项

相关主题

期刊订阅