A New Algorithm for Total Variation Based Image Denoising

被引：0
|
作者：
Yi-ping XU [1 ]
机构：
[1] School of Science,Southwest University of Science and Technology
来源：
Acta Mathematicae Applicatae Sinica | 2012年 / 04期
关键词：
image denoising; total variation; split Bregman method; algebraic multi-grid method; Krylov subspace acceleration;
D O I：
暂无
中图分类号：
TP391.41 [];
学科分类号：
080203 ;
摘要：
We propose a new algorithm for the total variation based on image denoising problem.The split Bregman method is used to convert an unconstrained minimization denoising problem to a linear system in the outer iteration.An algebraic multi-grid method is applied to solve the linear system in the inner iteration.Furthermore,Krylov subspace acceleration is adopted to improve convergence in the outer iteration.Numerical experiments demonstrate that this algorithm is efficient even for images with large signal-to-noise ratio.
引用
收藏
页码：721 / 730
页数：10
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