摘要
在局部极值噪声检测和迭代中值滤波的基础上,基于图像结构和脉冲噪声的特征分析,有效结合局部极值检测和幅度差阈值、梯度差阈值的检测方法,提出了一种基于噪声检测的迭代脉冲噪声滤除算法.并通过仿真实验和算法评价,验证了该算法不仅能够达到很好的去噪效果,而且在保留图像细节信息方面也取得了一定的成效.
This article in the foundation of local extreme value detection and iterative median filter, Based on the picture structure and impulse noise characteristic analysis, Combines local extreme value detection and scope difference threshold value or the gradient difference threshold value detection method, Advance a iterative denoising algorithm based on noisy detection. And through the simulation experiment and the algorithm appraise, Confirmed the algorithm not only to be able to achieve very good denoising result, but also obtain the certain effect in the preserving picture detail information aspect.
出处
《数学的实践与认识》
CSCD
北大核心
2007年第16期84-89,共6页
Mathematics in Practice and Theory
基金
国家自然科学委员会与中国工程物理研究院联合基金(10576013)
河南省自然科学基金(0611053200)
关键词
极值检测
幅度差
方向差
噪声点
中值滤波
extreme value detection
scope difference
gradient difference
noisy point
median filter
