Split Bregman method for the modified lot model in image denoising

被引：11
|
作者：
Yang, Yu-Fei [2 ]
Pang, Zhi-Feng [1 ]
Shi, Bao-Li [2 ]
Wang, Zhi-Guo [1 ]
机构：
[1] Henan Univ, Coll Math & Informat Sci, Kaifeng 475000, Peoples R China
[2] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2011年 / 217卷 / 12期
关键词：
Image restoration; ROF model; LLT model; LOT model; Split Bregman method; TOTAL VARIATION MINIMIZATION; NOISE REMOVAL; RESTORATION;
D O I：
10.1016/j.amc.2010.12.009
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper a split Bregman iteration is proposed for the modified LOT model in image denoising. We first use the split Bregman method to solve the ROF model which can be seen as an approximate form of the first step of the original LOT model. Then we use a modified split Bregman method to fit the second step of the LOT model and give the convergence of the proposed split Bregman method. Several numerical examples are arranged to show the effectiveness of the proposed method. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码：5392 / 5403
页数：12
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