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对含脉冲噪声的图像去噪算法的研究
引用本文:张必武,冯穗力.对含脉冲噪声的图像去噪算法的研究[J].电视技术,2011,35(19).
作者姓名:张必武  冯穗力
作者单位:华南理工大学电子与信息学院,广东广州,510640
基金项目:广东省科技计划项目(2009A010200006); 中国电子科技集团公司创新基金(JJ09010)
摘    要:在传统均值滤波和中值滤波的基础上,结合聚类算法理论,采用硬聚类算法和模糊模型两种算法消除图像中的脉冲噪声。与传统的滤波算法和硬聚类模型去噪算法相比,基于模糊模型的去噪算法更好地提高了图像的清晰度和信噪比。

关 键 词:中值滤波  硬聚类模型  模糊模型  

Research on Impulse Noise Image Denoising Algorithm
ZHANG Biwu,FENG Suili.Research on Impulse Noise Image Denoising Algorithm[J].Tv Engineering,2011,35(19).
Authors:ZHANG Biwu  FENG Suili
Institution:ZHANG Biwu,FENG Suili(School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,China)
Abstract:Based on the traditional mean filter and median filter,combining the theory of clustering algorithm,an image denoising algorithm is proposed to eliminate impulse noise in the image,using both theoretical model of fuzzy and clustering algorithms.Compared with the traditional filter algorithm and hard clustering denoising model algorithm,the denoising algorithm based on fuzzy model is better to improve image clarity and the signal to noise ratio.
Keywords:median filter  hard clustering model  fuzzy model  
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