Adaptive total variation regularization based scheme for Poisson noise removal

被引：11
|
作者：
Zhou, Weifeng [1 ,2 ]
Li, Qingguo [1 ]
机构：
[1] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
[2] Chuxiong Normal Univ, Dept Math, Chuxiong 675000, Yunnan, Peoples R China
来源：
MATHEMATICAL METHODS IN THE APPLIED SCIENCES | 2013年 / 36卷 / 03期
基金：
中国国家自然科学基金;
关键词：
image denoising; Poisson noise; adaptive total variation; optimization problem; IMAGE-RESTORATION; ALGORITHM; MINIMIZATION;
D O I：
10.1002/mma.2587
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
To better preserve the edge features, this paper investigates an adaptive total variation regularization based variational model for removing Poisson noise. This edge-preserving scheme comprises a spatially adaptive diffusivity coefficient, which adjusts the diffusion strength automatically. Compared with the classical total variation based one, numerical simulations distinctly indicate the superiority of our proposed strategy in maintaining the small details while denoising Poissonian image. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码：290 / 299
页数：10
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