吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

基于不动点算法的LLT去噪模型

王天祎1, 文钧屹1, 张丝雨2, 何秉航1, 罗宏文1   

  1. 1. 吉林大学 数学研究所, 长春 130012; 2. 中山大学 数学与计算科学学院, 广州 510275
  • 收稿日期:2014-05-19 出版日期:2014-07-26 发布日期:2014-09-26
  • 通讯作者: 罗宏文 E-mail:luohw@jlu.edu.cn

LLT Denoising Model Based on FixedPoint Proximity Algorithm

WANG Tianyi1, WEN Junyi1, ZHANG Siyu2, HE Binghang1, LUO Hongwen1   

  1. 1. Institute of Mathematics, Jilin University, Changchun 130012, China;2. School of Mathematics & Computational Science, Sun Yatsen University, Guangzhou 510275, China
  • Received:2014-05-19 Online:2014-07-26 Published:2014-09-26
  • Contact: LUO Hongwen E-mail:luohw@jlu.edu.cn

摘要:

利用凸分析理论建立关于图像去噪LLT模型的不动点方程, 并用不动点迭代得到关于该方程的数值解. 数值试验结果表明, 该方法比原来的数值方法速度更快、 去噪效果更好.

关键词: 图像去噪, LLT模型, 不动点算法

Abstract:

The equation of fixed point was established for LLT image denoising model based on a theory in convex analysis. Numerical solutions of the equation were obtained through the fixed point iteration. A numerical experiment was conducted to compare our method with the one provided in the original LLT paper in terms of both the speed of convergence and the denoising effect. The numerical experiment results show that our method is faster in convergence and
more effective in denoising.

Key words: image denoising, LLT model, fixedpoint proximity algorithms

中图分类号: 

  • TP391.41