Histogram Weighted Mean Filter for Image Processing

YANG Qun-sheng; HUANG Ji-wu; KANG Xian-gui; ZHOU Wang

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Histogram Weighted Mean Filter for Image Processing

更新时间：2025-07-16

- Histogram Weighted Mean Filter for Image Processing
- Acta Electronica Sinica Vol. 32, Issue 7, Pages: 1108-1111(2004)
- 作者机构：
  
  1. 中山大学电子系,广州,510275
  2. 华南师范大学计算机系,广州,510631
  3. Lab for Computational Vision,New York University,New York,USA,10003
  4. 中山大学电子系广州,510275
  5. 华南师范大学计算机系广州,510631
  6. Lab for Computational VisionNew York UniversityNew York 10003USA
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP911.73
- Published：2004
- 稿件说明：
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YANG Qun-sheng, HUANG Ji-wu, KANG Xian-gui, et al. Histogram Weighted Mean Filter for Image Processing[J]. Acta Electronica Sinica, 2004, 32(7): 1108-1111.
DOI：

YANG Qun-sheng, HUANG Ji-wu, KANG Xian-gui, et al. Histogram Weighted Mean Filter for Image Processing[J]. Acta Electronica Sinica, 2004, 32(7): 1108-1111. DOI：

摘要

本文提出了一种适合于消除图像盐椒噪声的滤波器——直方图加权均值(HWM)滤波器.该算法以加权均值滤波器为基础

利用被污染图像的直方图函数作为权值进行加权运算.实验表明

对于噪声率在5％到90％的的噪声图像

HWM滤波器具有良好而稳健的去噪效果

当噪声率超过70％时

其优越性更加突出.

Abstract

A new weighted mean filter

histogram weighted mean (HWM) filter

is proposed to restore images corrupted by salt-pepper impulse noise.The idea is based on weighted mean filter

which uses the histogram function of the corrupted image as weight.Experimental results demonstrate that the proposed HWM filter is effective androbust for different noise ratio

ranging from 5% to 90%.When noise ratio exceeds70%

HWM filter gives superior performance compared with other known filters.

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