Adaptive image de-noising algorithm based on fuzzy logic

被引：0

作者：

Shi, Zhen-Gang ^{[1
]}

Gao, Li-Qun ^{[1
]}

Ge, Wen ^{[1
]}

机构：

[1] School of Information Science and Engineering, Northeastern University, Shenyang 110004, China

来源：

Dongbei Daxue Xuebao/Journal of Northeastern University | 2007年 / 28卷 / 06期

关键词：

Fuzzy logic - Impulse noise - Membership functions - Pixels;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A new adaptive image de-noising algorithm based on fuzzy logic is proposed by analyzing the deficiencies of median filter when it is used to eliminate impulsive noise. The new algorithm for detection of noise points is based on grayscale distribution of neighboring pixels in different directions, and it uses the improved algorithm of maximum-minimum exclusive median method to estimate the gray level of current noisy pixels. Introducing the fuzzy logic rules into the new algorithm, the gray level of noisy pixels will be restored more reasonably. Simulation results show that the new algorithm may bring about better effect in eliminating impulsive noise in comparison with the improved median filter methods.

引用

页码：777 / 780

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