理论数学

Vol.1 No.1 (April 2011)

基于ROF模型的修正半光滑牛顿法
The Modified Semismooth Newton Algorithm Based on the ROF Model

 

作者:

庞志峰 , 吕军成

 

关键词:

图像去噪全变差半光滑牛顿法: Image Denoising Total Variation Semismooth Newton Algorithm

 

摘要:

本文基于ROF去噪模型的对偶算法提出一个修正的半光滑牛顿法。文中证明了该算法具有Q超线性收敛,同时指出选取适当的参数α可以提高数值计算效率。实验表明,建议的修正算法既能较好的复原图像,又具有较快的收敛速度。

In this paper, based on the dual algorithm of ROF model, we propose a modified semismooth Newton algorithm. Furthermore, we prove that the proposed algorithm converges Q-superlinearly, and also refer that this algorithm can improve the computational efficiency by choosing a suitable parameter α. The simulations show that the new modified algorithm can perfectly restore image and keep the faster conver-gence rate.

文章引用:

庞志峰 , 吕军成 (2011) 基于ROF模型的修正半光滑牛顿法。 理论数学, 1, 26-29. doi: 10.12677/pm.2011.11006

 

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