关键词: 近均值, 自适应滤波, 快速滤波, 中值滤波, 均值滤波

Abstract: This paper proposes a new concept of the Mean Neighbor（MN） based on the analysis of the popular filtering algorithms, designs and implements the corresponding filtering algorithm. The new method chooses the window size of the filter adaptively, and calculates the mean value after removing the noise. It proposes three ways of calculating the MN and two ways of judging the noise, and combines them to design nine filtering algorithms. The experiments show that the 7th filtering algorithm has got the best filtering performance after comparing the above nine filtering algorithms with the mean filter, the median filter and some other improved filtering algorithms. The 7th filtering algorithm is more pervasive and can deal with different noise types.

Key words: Mean Neighbor（MN）, adaptive filtering, fast filtering, median filtering, mean filtering