摘要
在分析小波变换对噪声影响规律的基础上,结合小波多尺度积的特性,提出了一种基于小波多尺度积的图像增强新算法,利用二进小波变换中各尺度上小波系数间的相关性,有效改善了图像增强过程中噪声放大问题。
By analyzing the effects of wavelet on signal and noise regularity, a new algorithm for image enhancement based on wavelet multiscale product is proposed. Making use of the dyadic wavelet transform and correlation of the wavelet coefficient from different scales. It can alleviate the amplification of the noise while enhancing the image feature.
出处
《计算机应用与软件》
CSCD
北大核心
2007年第3期163-165,共3页
Computer Applications and Software
关键词
小波变换
多尺度积
图像增强
Wavelet transform Multiscale product Image enhancement
