A fast image restoration algorithm based on stack filtering 基于层叠滤波的快速图像恢复算法
Analysis and design of optimal stack filter with structural elements constrains 最优结构元约束层叠滤波器分析与设计
An improved algorithm of the optimal stack filter based on omnidirectional structural elements constrains 一种改进的最优全方位结构元约束层叠滤波设计方案
In order to remove noise in images perfectly, a class of the generalized morphological filters ( gmfs ) was introduced . we set up the relations between the gmfs and the stack filters, and analyzed the output statistical properties of the gmfs under various input distributions . by simulation and comparison, we verified that the gmfs had better performances than the traditional morphological filters in noise-suppressing and detail-preserving 为了更好地滤除图象中的噪声,本文研究了一种广义形态滤波器.在建立广义形态滤波器与层迭滤波器关系的基础上,分析了各种输入分布时,广义形态滤波器输出的统计特性.通过仿真比较,验证了在噪声抑制和细节保持方面,广义形态滤波器比传统形态滤波器有较好的性能