基于不动点算法的LLT去噪模型

Journal of Jilin University Science Edition

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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. 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

Abstract

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

CLC Number:

TP391.41

WANG Tianyi, WEN Junyi, ZHANG Siyu, HE Binghang, LUO Hongwen. LLT Denoising Model Based on FixedPoint Proximity Algorithm[J].Journal of Jilin University Science Edition, 2014, 52(04): 794-796.

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LLT Denoising Model Based on FixedPoint Proximity Algorithm

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