摘要
针对椒盐噪声污染的图像提出了一种改进型中值滤波算法。该算法是一种自适应型中心加权的高效中值滤波算法。通过计算边缘隶属度来自适应地调整中心像素的权值,从而控制新的滤波器对图像不同区域进行不同程度的平滑,即对细节丰富的图像区域进行轻度的平滑,而对细节较少的图像区域进行重度的平滑。实验结果表明,新的滤波算法优于传统的中值滤波器及常规的中心加权中值滤波器。
An improved median filter was introduced to suppress impulsive noise. The proposed solution was a class of adaptive center-weighted median filter. By the edge membership, the proposed filter adaptively determines the central weight to make sure that it could perform different amount of smoothing for noisy images with different image areas, namely it could perform slight smoothing for edge areas and more smoothing for non-edge areas. The experimental results show that the proposed solution significantly out performs the standard median filter（SMF）and the central weighted median filter（CWMF）.
出处
《红外技术》
CSCD
北大核心
2009年第5期291-294,共4页
Infrared Technology
