脉冲噪声图像的中－均值滤波算法

摘要

During image information acquisition and transmission,the images are usually corrupted by impulse noise.To remove effectively high density impulse noise,an algorithm for removing noise based on a median-mean filter is proposed.According to the characteristics of impulse noise,a simple noise detection operator is set,and then adap-tive filtering window is set according to the results of noise detection,meanwhile,the median and mean filters are se-lected according to the noise density.To keep effectively the original image information,the noise-free pixels are not filtered.Simulation results show that the proposed median-mean filter algorithm can remove high density impulse noise effectively.It also keep the original image information well,and have shorter filtering time.%由于在图像信息的获取和传输过程中，图像常常受到不同程度的脉冲噪声污染。为了有效地去除高浓度脉冲噪声，提出了一种基于中－均值滤波器的噪声去除算法。该方法根据脉冲噪声特点，设定一个简单的噪声检测算子，根据噪声检测结果设定自适应滤波窗口，同时根据噪声密度选择中值和均值滤波器。为了更加有效地保留图像的原有信息，对非噪声点不做滤波处理。仿真结果表明，所提出的中－均值滤波方法不仅能有效地去除高浓度的脉冲噪声，而且能很好地保留图像的原有信息，并具有较短的滤波处理时间。