摘要
在分析了常见的图象噪声过滤算法和自适应滤波算法的基础上,提出了基于多个子窗口的自适应滤波改进算法,在处理每一个象素时,把四个子窗口同时作用于该象素,并以均方误差最小的子窗口的中值,作为处理后的该象素的灰度值。给出了算法的设计思想、具体实现和误差分析,这是一种具有保护图象细节和良好去噪性能的新型算法。为图象去噪处理的应用和研究提供了一种方法和思路。
Based on analyze the image noise filering algorithm and daptive filering algorithm ,Puts Forward the improved algorithm of daptive filering based on multi sub-windows,When deal with every pixel,select the rain average position Error as grey-value which act on with four sub-windows. Gives out its design method, particular realization and position Erro analyse This is a new algorithm with protect image minutia and better performance of removing noise. It provides the typical method and thinking way for removing image noise.
出处
《微计算机信息》
北大核心
2006年第11S期307-309,共3页
Control & Automation
基金
江苏省教育厅自然科学基金资助项目(05KJB510004)
关键词
子窗口
自适应滤波
改进算法
误差分析
sub-windows,daptive filering,improved algorithm,position Error analysis