一种高效快速的高密度椒盐噪声消除算法

One Efficient and Fast Method for the Removal of High-Density Salt and Pepper Noise

本文提出了一个简单高效的消除高密度椒盐噪声的算法.在该算法中,对于图像中的每一个椒盐像素,计算以该像素为中心的窗口内非椒盐像素的平均值,并且在不同的阶段对其更新.实验结果表明,对于污染度为10%到90%的图像,本文的算法都有良好的噪声消除能力,所得到的恢复图像能够较好地保持原始图像的细节.另外,本文的算法计算时间较少,具有较大的实用价值.

One simple and efficient method for the removal of high-density salt and pepper noise is proposed in this paper.In the proposed method,we calculate the mean value of the non salt and pepper pixels in the window centered at the current salt and pepper pixel.Then,we update the salt and pepper pixel with the mean value at the different phases.Although the principle in the proposed method is quite simple,the experimental results show that the proposed method behaves excellently for all noise ratios,from 10% to 90%.The proposed method can preserve the details of the original image well.Furthermore,the run time for the proposed method is quite short,which makes it possible for the real applications.