基于位函数最优迭代的椒盐噪声滤波算法

A Salt & Pepper Noise Optimal Iterative Filtering Algorithm Based on Potential Function

为了减少图像中的椒盐噪声对后续图像处理的影响,针对高密度噪声污染图像,提出了基于位函数最优迭代的椒盐噪声滤波算法。利用位函数的细节保证性能,最大限度地恢复图像的细节信息,使得高密度噪声污染图像也能得到较好地恢复。实验结果表明,所提出的滤波算法具有较强的自适应性及较好的滤波效果。

To reduce the influence of salt pepper noise in images on subsequent image processing, a high-density salt pepper noise filtering algorithm based on noise detection is proposed for high-density noise polluted images in this paper. Considering that potential function has the ability of edge-preserving, detailed image information is protected in a maximum scale and high-density noise polluted images can be restored. Experiment results show that the filtering algorithm presented in this article has high selfadaptability and good filtering effect.