An Adaptive Filter Approach for Removal of Mixed Noise Based on Grey Relevancy

HUANG Chun-yan; ZHANG Yun-peng; HUANG Hong-yan

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An Adaptive Filter Approach for Removal of Mixed Noise Based on Grey Relevancy

更新时间：2026-09-04

- An Adaptive Filter Approach for Removal of Mixed Noise Based on Grey Relevancy
- Vol. 27, Issue 2, Pages: 126-128(2010)
- 作者机构：
  
  1. 华北水利水电学院,河南,郑州,450011
  2. 辽宁石油化工大学机构,辽宁,抚顺,113001
- 作者简介：
- 基金信息：
- DOI：
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- Published：2010
- 稿件说明：
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黄春艳, 张云鹏, 黄红艳. 基于灰色关联度的图像混合噪声的自适应滤波算法[J]. 微电子学与计算机, 2010, 27(2): 126-128.

HUANG Chun-yan, ZHANG Yun-peng, HUANG Hong-yan. An Adaptive Filter Approach for Removal of Mixed Noise Based on Grey Relevancy[J]. 2010, 27(2): 126-128.
黄春艳, 张云鹏, 黄红艳. 基于灰色关联度的图像混合噪声的自适应滤波算法[J]. 微电子学与计算机, 2010, 27(2): 126-128. DOI：

HUANG Chun-yan, ZHANG Yun-peng, HUANG Hong-yan. An Adaptive Filter Approach for Removal of Mixed Noise Based on Grey Relevancy[J]. 2010, 27(2): 126-128. DOI：

摘要

利用中值滤波和灰色关联度的特点

提出基于中值滤波和灰色关联度相结合的混合噪声图像滤波算法.算法选取加窗混合噪声图像的中值

采用灰色关联度自适应地计算各像素的加权系数

通过加权得到结果.实验结果表明

该算法有较好的自适应性

不但能够有效去除含有高斯噪声和脉冲噪声的图像噪声

而且能较好地保护图像的细节信息

提高图像的去噪效果和清晰度.

Abstract

Using the characteristic of median filter and grey relevancy

an algorithm for mixed noise filtering is presented based on median filtering and grey relevancy.A median pixel is determined in the filter window

and the coefficient of the proposed method can be varied adaptively based on degree of the grey relevancy

then the values of the processed pixel can be calculated.Experiment results show that the proposed method can remove mixed Gaussian and impulse noise efficiently preserve the integrity of edge and detail information and remove mixed noise effectively.

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