摘要
传统的自适应中值滤波算法,利用极值判别像素点是否为噪声点。该方法容易将边缘点误判为噪声点,将噪声点误判为信号点。本文针对这一问题,提出一种利用边缘点与噪声点的差异判别噪声点,并将噪声点分为平滑区噪声点与边缘区域噪声点,对不同类型噪声点进行不同处理。从而达到更好的抑制噪声与保护图像细节效果。
Traditional adaptive median filter algorithm use extreme value to determine whether pixel the noise points.The method is too easy to misjudge the edge points for the noise,the noise points for the signal.In response to this question,this article use difference between marginal points and noise points to discriminant noise points,the noise points are divided into smooth and edge areas noise points,for different types of noise points in the different treatment.So it can achieve better noise suppression and protection of image detail.
出处
《微计算机信息》
2010年第10期109-110,119,共3页
Control & Automation
关键词
自适应中值滤波
噪声检测
边缘保护
adaptive median filter noise detecting detail preserving
