基于AOS方法的非线性总变差去噪模型

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Nonlinear Totalvariation Denoising Model Based on AOS Method

ZHAO Shufeng¹,², LUO Hongwen¹, HUANG Chengqi¹, MA Si liang¹

1. Institute of Mathematics, Jilin University, Changchun 130012, China;2. High Shool Attached to Northeast Normal University, Changchun 130021, China

Received:2008-01-30 Revised:1900-01-01 Online:2008-09-26 Published:2008-09-26
Contact: LUO Hongwen

Abstract

Abstract: An addtive operator splitting (AOS) method is employed in the nonlinear total variation model (ROF model) for image denoising. The numerical discretization scheme is semiimplicit and unconditional stable. It overcomes the time step size restriction for explicit scheme. The method can easily be parallelized and one can gain an accelerated convergence. The experiments show that it is extremely promising compared to the explicit scheme.

Key words: image denoising, nonlinear total variation model, additive operator splitting

CLC Number:

TP391.41

ZHAO Shufeng,, LUO Hongwen, HUANG Chengqi, MA Si liang. Nonlinear Totalvariation Denoising Model Based on AOS Method[J].J4, 2008, 46(05): 911-914.

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Nonlinear Totalvariation Denoising Model Based on AOS Method

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