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一种新的加权组合图像去噪模型

周先春 曾彬

计算机工程2016,Vol.42Issue(11):238-243,6.
计算机工程2016,Vol.42Issue(11):238-243,6.DOI:10.3969/j.issn.1000-3428.2016.11.039

一种新的加权组合图像去噪模型

A New Weighted Combination Model for Image Denoising

周先春 1曾彬2

作者信息

  • 1. 南京信息工程大学 电子与信息工程学院,南京 210044
  • 2. 南京信息工程大学 江苏省大气环境与装备技术协同创新中心,南京 210044
  • 折叠

摘要

Abstract

Aiming at the staircase effect and isolated point in the classical models of PM model and YK model,the paper proposes a combinatorial operator model.Regularization is performed on the image to be processed.The gradient in the above-mentioned classical models is combined with Laplace operator according to certain weighting function.Then,in view of the phenomenon of excessive smoothing in nonlinear diffusion,this paper uses edge harmonic operator for modification.Experimental results show that this model not only effectively controls the staircase effect and isolated point,but retains the detailed texture features of the image quite well,and it has an obvious denoising effect.

关键词

梯度/阶梯效应/拉普拉斯算子/加权函数/图像去噪

Key words

gradient/staircase effect/Laplace operator/weighted function/image denoising

分类

信息技术与安全科学

引用本文复制引用

周先春,曾彬..一种新的加权组合图像去噪模型[J].计算机工程,2016,42(11):238-243,6.

基金项目

国家自然科学基金(11202106);教育部高等学校博士学科点专项科研项目(20123228120005);江苏省自然科学基金(BK20131005)。 ()

计算机工程

OA北大核心CSCDCSTPCD

1000-3428

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