摘要
论文提出了一种基于人类视觉系统的自适应均值滤波算法,首先根据人类视觉特性自适应确定噪声点的阈值,然后滤波窗口自适应调整大小和权值自适应计算的加权均值滤波方法,对检测到的噪声点进行逐点滤除。该方法既可有效地去除噪声,又可以较好地保持图像细节部分。论文最后给出模拟实验和分析,结果表明该方法是有效的。
The paper proposes an adaptive mean filter algorithm based on human vision system.It first detects adaptively the noise threshold according to a humanity visual characteristic,then the filter window size is adaptively adjusted,finally weight value is calculated adaptively and the weihted mean filtering is used to estimate noise pixels.This method both may effectively remove the noise,and may maintain the image detail well.The paper finally produces the experi- ments and the result analysis,the result shows that this algorithm is effective.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第10期62-64,83,共4页
Computer Engineering and Applications
基金
湖南省教育厅资助项目(编号:05C720)
