快速去除椒盐噪声的蛇形扫描滤波算法

摘要

为提高椒盐噪声图像的处理速度和去噪效果,提出一种蛇形扫描滤波算法.利用OTSU算法求出椒盐噪声的阈值,在噪声分布区间内找出相邻灰度之间像素个数差异的最大值,将极值点的灰度值与OTSU算法求出的阈值进行加权平均作为信号与噪声的分割点.实验结果表明,该算法能高效、快速、准确地去除椒盐噪声,并且与中值滤波算法相比,较好地保留了原图的细节,尤其对于高密度噪声污染的图像具有更好的去噪效果.%In order to improve the processing speed and denoising effect of salt and pepper noise images,this paper presents a serpentine scanning filtering algorithm.First,in the distribution range of noise,it calculates a threshold to denoise by using the OTSU algorithm.And then,it searches a gray level whose difference with its neighbor is maximum in this range.Finally,it takes the average of the two gray levels and uses it as the segmentation point of signal and noise.Experimental results show that the algorithm can remove salt and pepper noise effectively,quickly,and accurately.Compared with median filtering algorithm,this algorithm preserves details very well,especially for images corrupted by high density noise.