摘要
提出了一种基于模糊推理用于去除图像椒盐噪声的中央值滤波器的新型设计方法,在图像复原处理中,理想的期望是对图像被劣化的部分处理,没有被劣化的部分不作处理,但实际图像处理中处理点是否为噪声点具有模糊性。利用模糊推理对处理点像素多大程度上属于劣质像素进行推定,并且多个模糊滤波器联合使用,处理结果证明对广范围噪声发生率的各种被椒盐噪声劣化的图像复原处理都适用。
A novel method of median filter based on fuzzy set theory is proposed to restore image corrupted by impulsive noises. In image restore processing, the pixel is free pixel or not is ambiguity. The proposed filter according to theory of fuzzy set through fuzzy membership function to obtain the local pixel to what extent an impulsive noise. Simulation result shows that proposed joint fuzzy filters are applied to the restoration of the deterioration image of a wide noise incidence.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第9期2309-2312,2327,共5页
Computer Engineering and Design
