The Image Noise Removal Based on Fuzzy Technique

YANG Qun-sheng; CHEN Ming; YU Ying-lin

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The Image Noise Removal Based on Fuzzy Technique

更新时间：2025-07-16

- The Image Noise Removal Based on Fuzzy Technique
- Acta Electronica Sinica Vol. 28, Issue 10, Pages: 31-35(2000)
- 作者机构：
  
  1. 华南师范大学计算机科学系,广州,510631
  2. 华南理工大学电子与通信工程系,广州,510641
  3. 华南师范大学计算机科学系广州,510631
  4. 华南理工大学电子与通信工程系广州,510641
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.73
- Published：2000
- 稿件说明：
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YANG Qun-sheng, CHEN Ming, YU Ying-lin. The Image Noise Removal Based on Fuzzy Technique[J]. Acta Electronica Sinica, 2000, 28(10): 31-35.
DOI：

YANG Qun-sheng, CHEN Ming, YU Ying-lin. The Image Noise Removal Based on Fuzzy Technique[J]. Acta Electronica Sinica, 2000, 28(10): 31-35. DOI：

摘要

本文提出了一种新的滤波器——模糊检测加权均值(FDWM)滤波器.根据被污染图像的直方图的特点

利用它所反映的图像统计特性

建立模糊隶属函数

改进算法设计

并结合新的检测算法进行噪声消除.对于盐椒噪声图像

当噪声率超过30％时

FDWM的去噪效果远远优于常规方法

特别是当噪声率超过50％时

FDWM的优越性更加突出

无论其主观视觉效果还是其峰值信噪比或均方误差都表明了这一点.

Abstract

A new filter—Fuzzy Detection Weighted Mean filter is presented in this paper.Based on the histogram of corrupted image and its statistic characteristic

we construct the fuzzy membership functions and present the design methodology of FDWM combining new detection algorithm.For salt-pepper impulse noise image

when the noise probability exceeds 30%

FDWM gives superior performance compared with conventional filters

especially when noise probability is more than 50%

the advantage of FDWM is more prominent than other filters.This is showed by the subjective vision and peak signal-to-noise-rate (PSNR) or mean square error (MSE).

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Related Institution

Dept.of Electronic and Communication Engineering,Sun Yat-Sen Univ

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Dept.of Electronic and Communication EngineeringSun Yat-Sen UnivGuangzhouGuangdong 510275China

Dept.ofComputer ScienceSouth China Normal UnivGuangzhouGuangdong 510631China

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