自适应定向加权中值滤波

提出了自适应定向加权中值(ADWM)滤波的算法. ADWM滤 波是结合定向滤波与加权中值滤波的思想而构造的滤波模型, 是一种高度非线性的图像平滑 和增强技术. 运用移动窗口方差和基方差使ADWM滤波获得了自适应性. ADWM滤波器既有定向 滤波器的特征, 也有中心加权中值滤波器的特征. 定向滤波器可以有效保持边缘, 而中心加 权中值滤波器对减少随机噪声尤其有效, 同时也能在一定程度上减少冲击噪声的数量, 并根 据子窗口内像素的最低方差自适应地调整中心像素的权值以保持图像的细节.

Adaptive Directional Weighted Median Filtering

A novel filtering algorithm called adaptive directional weighted median (ADWM) filtering is proposed. The ideas of the directional filtering and the weighted median filtering are combined with each other to construct the ADWM filter model, which is a highly nonlinear image smoothing and enhancement technique. The use of the variance of the moving window and the base variance supports the adaptivity of the ADWM filter. The ADWM filter has the features of directional filter, which is especially effective at preserving edges, and the features of center weighted median (CWM) filter, which can reduce random noise, and moderate (amounts) of impulsive noise also, to some extent, as well as preserve the details via adaptively determining the weight of the center pixel according to the lowest variance of pixels within all the sub-windows.