彩色图像脉冲噪声的自适应矢量滤波

提出了基于噪声像素检测的自适应矢量滤波器的新方法，该法对图像中噪声像素进行检测时，仅对噪声像素进行矢量滤波，而对非噪声像素则保持其原值不变，并可根据图像噪声情况自适应地选择滤波窗口。新滤波器能有效地滤除彩色随机脉冲噪声，并保持图像边缘与细节，其性能优于经典的矢量中值滤波器、方向一距离滤波器、方向一幅度矢量滤波器等非线性滤波器。

Adaptive Vector Filters for Impulse Noise Removal in Color Image

In this paper, new filters based on noise detection are proposed for impulse noise removal in color images. In the new method, impulse noise is properly detected, and the detected noisy pixels are filtered with adaptive selection of filter window, while the noise-free pixels are kept without any changes. Experimental results show that the proposed filters remove impulse noise and preserve edges and details very well, which perform better than the classical vector median filter (VMF), direction-distance filter (DDF), and directional-magnitude vector filter (DMVF).