基于位函数最优迭代的椒盐噪声滤波算法

摘要

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&pep-per 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-densi-ty noise polluted images can be restored. Experiment results show that the filtering algorithm presented in this article has high self-adaptability and good filtering effect.