摘要
根据椒盐噪声污染图像灰度值取值范围的变化,提出了一种改进的加权均值滤波算法。实验结果表明,该方法能有效地去除椒盐噪声,同时保留了图像细节。
According to the changes of gray value range of images pollute by salt and popper noise, this paper proposed an improved weighted mean filtering algorithm. It has proved that this algorithm can not only effectively remove salt and pepper noise, but also protect the details.
基金
人工智能四川省(高校)重点实验室项目基金资助(2007R011)
关键词
均值滤波
加权
滤波算法
椒盐噪声
mean filtering
weighted
filtering algorithm
salt and pepper noise
