Wavelet Based Variational Model to Remove Multiplicative Noise

LI Ya-feng; FENG Xiang-chu

doi:10.3969/j.issn.0372-2112.2012.03.011

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Wavelet Based Variational Model to Remove Multiplicative Noise

更新时间：2025-07-16

- Wavelet Based Variational Model to Remove Multiplicative Noise
- Acta Electronica Sinica Vol. 40, Issue 3, Pages: 477-482(2012)
- 作者机构：
  
  1. 西安电子科技大学应用数学系,陕西,西安,710071
  2. 宝鸡文理学院计算机科学系,陕西,宝鸡,721016
  3. 西安电子科技大学应用数学系陕西西安,710071
  4. 宝鸡文理学院计算机科学系陕西宝鸡,721016
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2012.03.011
  CLC： TP391
- Published：2012
- 稿件说明：
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LI Ya-feng, FENG Xiang-chu. Wavelet Based Variational Model to Remove Multiplicative Noise[J]. Acta Electronica Sinica, 2012, 40(3): 477-482.
DOI：

LI Ya-feng, FENG Xiang-chu. Wavelet Based Variational Model to Remove Multiplicative Noise[J]. Acta Electronica Sinica, 2012, 40(3): 477-482. DOI： 10.3969/j.issn.0372-2112.2012.03.011.

摘要

基于一个凸的全变差变分能量泛函

本文提出一个去除乘性噪声的小波变分模型.使用凸优化工具

给出该模型的交替分裂Bregman算法.相比于目前基于全变差去除乘性噪声的变分模型和分裂算法

新模型和算法形式简单

推广性强.一系列实验结果验证了本文算法及推广算法的有效性.

Abstract

Based on a convex total variation (TV) variational energy function

this paper proposes a wavelet based variational model to remove multiplicative noise.Using convex optimization tool

we give an alternating split Bregman algorithm to solve the proposed model.Compared with existing TV based method

the proposed algorithm is simple and can be extended easily.Numerical experiments are presented to demonstrate the efficient performance of the proposed algorithm and its extensions.

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LI Ya-feng

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FENG Xiang-chu

LI Ya-feng

YU Shi-ming

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WANG Shou-jue

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Related Institution

Department of Computer Science Baoji University of Arts and Science Baoji Shaanxi China

Department of Applied Mathematics,Xidian University,Xian

Department of Computer Science Baoji University of Arts and Science.Baoji Shaanxi China

Department of Computer Science, Baoji University of Arts and Science.

Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China

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