脉冲噪声图像的中-均值滤波算法

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。

Algorithm for impulse noise images based on median-mean filter

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 adaptive filtering window is set according to the results of noise detection,meanwhile,the median and mean filters are selected 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.