平滑去噪是图象处理中一个重要课题，但是以往在处理平滑去噪问题上一直存在平滑和保细节的矛盾。为解决此问题，提出了一种基于纹理分析和保细节平滑滤波器，该滤波器采用了多尺度多方向的模板，并利用纹理分析等手段，同时根据图象各部分特性，通过自适应地选择模板来进行平滑滤波，该算法兼顾了降噪和保细节两方面要求。实验结果证明，该算法实现简单，计算速度快，且效果优于其他几种常用的保边界平滑算法。

Smoothing is an important topic in image processing area. However, smoothing and edge preserving are hard to achieve simultaneously. In this paper, we propose an improved adaptive detail preserving smoothing algorithm using multiscale and multidirectional mask to deal with this issue. Before smoothing, complexity of texture is calculated according to the edge map. We ourselves define a measurement of complexity of texture which is simple and fast for operation. For the area with large value of texture complexity, that is the area with details, "stick" is used for smoothing to preserve these minute features, while for the area with small value, block mask is employed to speed and emphasize smoothing. As to using "stick", eight different directions are considered to make the most suitable mask take effect. To achieve that, we take the standard deviation as the criterion, small standard deviation denoting homogeneous area and suiting for being taken as the smoothing mask. This method, to some extent, is effective for both smoothing and edge preserving, mainly because it selects different mask according to the local feature of the image utilizing texture analysis. Compared with other methods, including traditional Median Filter, MWMF, Nagao's Filter, DMF and PDE, this algorithm is easy and faster to implement in computer and has better performance.