摘要
为了去除图像中混入的脉冲噪声和高斯噪声,提出了一种基于自适应中值滤波和模糊加权均值滤波的混合滤波方法。该方法首先进行噪声检测把受高斯型噪声污染的像素和受脉冲型噪声污染的像素区别开来,然后对受高斯噪声污染的像素采用模糊加权均值滤波算法,而对受脉冲噪声污染的像素则采用改进的中值滤波算法进行去噪。仿真结果证明,该方法更具有实用性和有效性。
To remove mixed impulse noise and Gauss noise in digital images, a new mixed filter based on the adaptive median filter and fuzzy weighted mean filter is proposed.The algorithm first classifies the pixels into two elasses, one is the pixels which are corrupted by Gauss noise and the other is the pixels corrupted by impulse noise and then fuzzy weighted mean filter is used for the pixels onrrupted by Gauss noise and the adaptive median filter is used for the pixels corrupted by impulse noise. The simulation result verifies that the proposed method is feasible and efficient.
出处
《激光杂志》
CSCD
北大核心
2007年第1期57-59,共3页
Laser Journal
基金
教育部新世纪优秀人才支持计划项目
新疆高校科学研究计划项目