摘要
提出了一种基于局部统计信息的模糊选择滤波算法,该算法的输出是sigma滤波器与多级中值滤波器滤波结果的加权复合,其权值则是通过对图像中局部统计信息的推理得到的。因此,该算法能够根据图像的具体情况自适应地进行滤波。试验表明,本算法能够有效滤除图像中不同种类的噪声,并具有很好的细节保护能力。
An adaptive fuzzy selection filter based on local statistics is introduced.The output of the adaptive filter is the weighted sum of sigma filter and multistage median filter.The weights are estimated by using fuzzy rules.Since the an-tecedents of the fuzzy rules can be composed of several local measurements,it is possible for the proposed filter to adjust its weights to adapt to local characteristics.Experimental results of the proposed algorithm show its effectiveness of filtering sig-nals which are corrupted by more than one type of noise,e.g.additive Gaussian noise plus impulses.
出处
《电视技术》
北大核心
2003年第10期22-24,共3页
Video Engineering
