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 。
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 and robust for different noise ratio, ranging from 5% to 90%. When noise ratio exceeds 70%, HWM filter gives superior performance compared with other known filters.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2004年第7期1108-1111,共4页
Acta Electronica Sinica
基金
国家杰出青年基金 (No .60 32 52 0 8)
国家自然科学基金 (No .60 1 72 0 67
60 1 330 2 0 )
武汉大学测绘遥感信息工程国家重点实验室开放基金(No .WKL(0 3) 0 1 0 1 )
关键词
直方图
图像处理
直方图加权均值滤波器
Algorithms
Functions
Robustness (control systems)
Signal filtering and prediction
