摘要
针对原有的自适应加权模糊均值AWFM滤波器对局部噪声幅度估计不足的缺点 ,提出了一种新的改进型自适应加权模糊均值MAWFM滤波算法。该算法采用了一种新的模糊检测方法 ,可以同时检测各个像素点的正负向噪声幅度 ,从而能够建立一种新的自适应的模糊信号空间 ,以适应噪声在各个图像局部的变化。实验结果表明 ,MAWFM滤波器比以前的AWFM滤波器及传统的中值滤波器均有较优越的性能。
Aiming to overcome the defect of underestimating the local noise amplitude of the previous Adaptive Weighted Fuzzy Mean (AWFM) filter, a novel Modified Adaptive Weighted Fuzzy Mean (MAWFM) filter algorithm is proposed in this paper. It adopts a new fuzzy detection method which simultaneously evaluates positive amplitude and negative amplitude of noise on each pixel, and can construct a new adaptive fuzzy signal space to adapt to the local change of noise. The experiment results also demonstrate the superior performance of MAWFM filter compared with previous AWFM filter and conventional median filter.
出处
《高技术通讯》
EI
CAS
CSCD
2003年第2期19-24,共6页
Chinese High Technology Letters
基金
上海市科委科技发展基金资助项目.
