用于图像处理的自适应均值滤波算法

An Adaptive Mean Filter Algorithm for Image Processing

针对标准均值滤波存在的问题,提出自适应均值滤波算法。算法首先计算窗口的四阶累积量和二阶中心矩并确定噪声点阈值;然后根据窗口内噪声点个数自适应调整滤波窗口,自适应计算权值;最后对噪声点逐点滤波。该方法既能有效去除图像噪声点,又能较好保持图像细节。论文最后给出实验和分析,结果表明该方法是有效的。

To overcome the drawbacks of the standard mean filter,this paper proposes an adaptive mean filter algorithm . It first detects adaptively the noise threshold according to the window＇s fourth-order cumulant and second central moment, then the filter window size is adaptively adjusted,finally weight value is calculated adaptively and the weihted mean filtering is used to estimate noise pixels. This method both may effectively remove the noise, and may maintain the image detail well. The paper finally produces the experiments and the result analysis, the result shows that this algorithm is effective.