小波变换技术用于图像信号的降噪  

An Application of the Wavelet Transformation Technique for Reducing the Noise of the Image Signal

作　　者：王艳辉[1] 王永臣[1] 

机构地区：[1]沈阳工业学院自动控制系,辽宁沈阳110015

出　　处：《沈阳工业学院学报》2000年第4期12-15,共4页Journal of Shenyang Institute of Technology

摘　　要：采用多尺度和小波阈值技术相结合的多尺度阈值方法来降低图像信号的噪声 .它是根据在不同尺度下信号和噪声的小波系数有不同的变化规律 ,在同一尺度上信号和噪声的小波系数有不同的特点 ,在不同的尺度上选择合适的阈值来进行小波系数压缩 ,从而达到去除噪声的目的 .The thesis adopts a method of reducing noise using the technique of multimeasures threshold combining multiresolution with the wavelet threshold technique.Adoptting the right threshold will compress the wavelet coefficient at various measures to reduce noise based on the law that the wavelet coefficients of signal and noise transformation are different in the various measures and have different characteristics in the same measures.

关 键 词：降噪 多尺度 阈值 小波系数 小波变换 图像信号 

分 类 号：TN911.73[电子电信—通信与信息系统]