Abstract: Mean filters can smooth the image noise while adaptive median filters can preserve the details and edge information of the original image.In order to restore the image with high-density impulse noise，this paper combines the merits of mean filters and adaptive median filters，and proposes a new algorithm for the improved adaptive median filters.The experimental results show that the algorithm can eliminate high-density impulse noise in the image and preserve the details and edge information of the original image effectively.

Key words: impulse noise, mean filtering, median filtering, adaptive windows

摘要： 均值滤波能较好的平滑图像的噪声，自适应中值滤波能较好的保存原始图像的细节和边缘。为了恢复被高密度脉冲噪声污染的图像，提出了改进的自适应中值滤波算法，新算法结合了均值滤波和自适应中值滤波两者的优点。实验结果表明，该算法能够有效地消除被污染图像中的高密度脉冲噪声，并较好地保留原始图像细节和边缘。

关键词: 脉冲噪声, 均值滤波, 中值滤波, 自适应窗口