图像非线性滤波技术的研究

Study on Nonlinear Filtering Technology of Image Processing

中值滤波是图像处理中常用的一种非线性滤波方法,该方法能够在有效地去除噪声的同时保持图像的边缘细节,解决了多数线性滤波在去噪的同时模糊图像这一缺点,能获得较好的图像复原效果。适当设计的加权中值滤波能更好地保护图像的细节信息,调节滤波模板参数可以获得理想的滤波效果。另外,中值滤波可以有效抑制脉冲干扰。本文讨论了中值滤波和加权中值滤波,并给出了相应的实验结果和结论。

Median filtering is a nonlinear technology which preserves image edge while removing noise. Properly designed weighted-median filter is able to preserve the detail of image, and by adjusting the parameters of the filter template the ideal effect can be obtained. In particular the median filter can reduce impulse noise. In this paper median filter and weighted-median filter are discussed, and the experiment results and some conclusions are also presented.