一种有效的脉冲噪声滤波算法

提出了一种新的图象脉冲噪声消除算法，该方法可以快速有效地去除图象中的脉冲噪声，并保留图象的细节。该算法主要通过利用象素点邻域的中值与最大、最小值信息，决定噪声象素的取值。对本算法与中值滤波算法进行了分析仿真，结果表明，本算法去除噪声与保留细节的效果好，对高强度的脉冲噪声也有比较好的滤波效果。

]A New Impulsive Noise Removal Filtering Algorithm

A new filtering algorithm with the purpose of eliminating impulsive noise is presented. In order to keep the content of signals as much as possible when the noises are removed, the following approaches are developed in this paper. Noisy items are identified by inspection of their surrounding neighborhood, and afterwards their values are replaced with the most "conservative" ones out of their neighbors' value. If a pixel value is the extremum (max. or min.) of its neighborhood, it is a noise pixel, or else it is a signal pixel. Experiment results show that the new algorithm is good in performance to keep the content of image and remove noise, especially in the case of strong noise.