一种简单的椒盐噪声滤波算法

文章提出了一种基于先定位、后滤波思想的椒盐噪声滤除算法。该算法根据噪声特点,将图像像素分为信号像素或可能的噪声像素两种类别,对于可能的噪声像素,采取去噪中值滤波算法进行滤波,而对于信号像素则不做任何处理,以保留更多的图像细节。文中给出了标准的中值滤波算法、极值中值滤波算法和该文的算法的比较实验,结果表明,该文算法对噪声高度污染图像的去噪能力明显比其它两种算法强,且能较好地保留图像细节。

A Simple Algorithm for Removing Salt and Pepper Noise from Gray-scale Image

In this paper,a simple algorithm based on noise-located is presented to remove salt and pepper noise from gray-scale image.Each pixel is classified to be signal pixel or possible noise pixel according to the characteristic of salt and pepper noise.Noise-excluded median filtering is employed to the possible noise pixels,while the signal pixels are kept untouched in the filtering process to preserve the detail of the image.Comparing experiments are done using stan-dard median filtering,extremum median filtering and the filtering algorithm presented in this paper respectively.Simula-tion results show that this algorithm outperforms the other two algorithms especially for highly corrupted images.