基于小波分析的阈值降噪算法研究  

A Threshold De-noising Algorithm Based on Wavelet Analysis

作　　者：扶晓[1] 陈柳巍[1] 孙延君[1] 

机构地区：[1]空军航空大学计算机教研室,长春130022

出　　处：《电脑编程技巧与维护》2012年第4期90-91,共2页Computer Programming Skills & Maintenance

摘　　要：小波变换的阈值消噪方法是利用小波交换技术对含噪图像进行分解和重构,对小波分解后的各层系数模大于和小于某阈值的系数分别进行处理,然后利用处理后的小波系数重构出消噪后的图像。分析了小波消噪的算法和实现步骤,并基于Matlab软件平台编写仿真程序,消噪效果良好。Wavelet threshold de-noising is a method, which use of switching technology for noisy wavelet image decompo- sition and reconstruction. Layers of wavelet decomposition coefficients of a particular model is greater than the threshold and the small coefficients for processing. The de-noised image is reconstructed by using the wavelet coefficient reconstruction. this paper analyzes wavelet de-noising algorithm and implementation steps,A simulation program is compiled based on the MATLAB software platform, de-noising effect is good.

关 键 词：小波分析 阈值 消噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]