摘要
研究了受混合噪声污染图像的降噪滤波问题，并提出了一种基于均值滤波和加权中值滤波的混合滤波方法.该方法将输入样本条按照某种分类方法分成若干子集，在各自子集内进行求均值，然后根据不同子集的样本个数进行加权中值滤波.经分析和计算机模拟表明，此种方法能较好地消除高斯和脉冲混合噪声的影响，并且计算简单.
This paper studies the problem of noise suppression of images corrupted by different kinds of noise. A hybrid filter based on the average filter and the weighted median filter is presented. The algorithm first divides the input sample set into several subsets by some classification,and then calculates the average in every class,and lastly filters the outputs by the weighted median filter in which the weights are the number of the samples in every subset. Computer simulations show that the influence of both Gaussian noise and impulse noise can be attenuated by the filter efficiently,and the calculation is simple.
出处
《天津大学学报》
EI
CAS
CSCD
1999年第5期551-554,共4页
Journal of Tianjin University(Science and Technology)
基金
国家自然科学基金!69772041
高校博士点基金!98005610
