FIXED-POINT-LIKE METHOD FOR A NEW TOTAL VARIATION-BASED IMAGE RESTORATION MODEL

被引：0
|
作者：
Won, Yu Jin [1 ]
Yun, Jae Heon [1 ]
机构：
[1] Chungbuk Natl Univ, Coll Nat Sci, Dept Math, Cheongju 28644, South Korea
来源：
JOURNAL OF APPLIED MATHEMATICS & INFORMATICS | 2020年 / 38卷 / 5-6期
基金：
新加坡国家研究基金会;
关键词：
Image restoration; Total variation; Fixed-point method; Split Bregman method; Proximity operator;
D O I：
10.14317/jami.2020.519
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, we first propose a new total variation-based regularization model for image restoration. We next propose a fixed-point-like method for solving the new image restoration model, and then we provide convergence analysis for the fixed-point-like method. To evaluate the feasibility and efficiency of the fixed-point-like method for the new proposed total variation-based regularization model, we provide numerical experiments for several test problems.
引用
收藏
页码：519 / 532
页数：14
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