摘要
针对常见滤除椒盐噪声算法需要使用阈值、运算时间长、去除噪声效果不理想等缺陷,提出了一种快速高效去除图像椒盐噪声的均值滤波算法。新算法对滤波窗口下的疑似噪声像素,有针对性地选择少数信号像素构成信号像素集合,取集合中的元素均值对疑似噪声像素进行滤波。实验结果表明,对于噪声密度为1%到99%的图像,新算法均具有良好的去除噪声能力和保持细节能力,而且整个算法耗费时间很少,因而具有较大的实用性。
Fast and efficient mean filter algorithm is proposed to overcome the drawbacks of some classic algorithms. For the suspected noise pixel, the algorithm firstly create a set composed of signal pixels selected from the borders of 3 × 3 filtering window, then noise is removed by means of mean filtering if the set composed of signal pixels is not emp- ty; else the image is restored based on the method mentioned above by enlarging filtering window until the set com- posed of signal pixels is not empty. The experimental results show that this algorithm has excellent filtering perform- ance for all noise ratios from 1% to 99% , besides, the algorithm can preserve the details of the image very well and the computation time is very short,it is useful in practical application.
出处
《激光与红外》
CAS
CSCD
北大核心
2014年第4期469-472,共4页
Laser & Infrared
基金
国家自然科学基金项目(No.61171034)资助
关键词
图像处理
均值滤波
滤波窗口
椒盐噪声
保持细节
image processing
mean filtering
filtering window
salt and pepper noise
detail-preserving
