众所周知，一个优秀的平滑算法必须在去除噪声的同时,还要具有良好的边缘细节保持能力。稳健平滑算法虽然是一种很简单的算法，但存在着它的缺陷。针对稳健平滑算法只能消除空间密度不大的椒盐噪声这一不足，在分析和实现已有改进算法的基础上，提出了新的改进策略，即一种自适应的稳健平滑算法，该算法在去除密度大的噪声的同时，保持了良好的边缘信息，使处理效果得到了很大的改进。该算法用MATLAB编程，通过这种新的自适应稳健平滑算法与其他算法对于受椒盐噪声污染程度不同的图像的平滑效果的仿真实验对比证明，该算法具有更好的滤波性能，尤其在噪声严重时，去噪效果优于已有的稳健滤波算法和中值滤波算法。

Excellent smoothing algorithm should be able to deal with images corrupted by noise and has the capability of preserving detailed information. Robust filtering is a very easy algorithm, but it has disadvantages that it cannot filter images which are highly corrupted. In this paper, both the traditional robust filtering and its existing improved algorithm are analyzed and realized. Meanwhile, a new adaptive robust filtering is proposed. Based on platform MATALB, comparing the proposed algorithm and these existing algorithms proved that this new algorithm can work properly when images are highly corrupted and preserve image details better than those present algorithms.