秩选择非线性滤波器及其优化

Rank selection nonlinear filter and its optimization

目的研究由中值滤波器推广得到的一类重要的滤波器形式及其优化设计方法。方法分析加权顺序统计滤波器的优化算法,由此导出秩选择滤波器的自适应优化算法。结果模拟实验显示,导出的自适应算法能够很好收敛。结论算法可以很好地用于图像处理中的秩选择滤波器设计。

Aim To study the nonlinear rank selection filter and its adaptive optimal algorithm, this useful filter category is derived from the median filter. Methods By analyzing the adaptive optimization algorithm of weight order statistic filter, the adaptive optimization algorithm for rank selection filter has been derived. Results The experiments have shown that the proposed algorithm has good convergent performance. Conclusion The proposed algorithm can be used for ranking selection filter designing in the unstable signal processing applications, especially in the image processing.