摘要
本文研究了局域波分析的二维分解算法,实现了二维Hilbert-Huang变换的分解方法,清晰地分解出图像的细节.同时在去除图像噪声应用中,与小波分析进行了对比,取得了满意的效果,从而拓宽了Hilbert-Huang变换的应用范围.
The 2-D decomposition arithmetic of local wave analysis (LWA) is studied deeply,and the 2-dimension decomposition method of HHT is developed and applied. The new method not only can adaptively extract details of a digital image, but also can get better results in eliminating image noise by comparing with the Wavelet Transform.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2008年第9期1763-1765,共3页
Acta Electronica Sinica
基金
中国博士后科学基金(No.20060400969)
关键词
二维局域波分析
数字图像消噪
小波变换
2-D local wave analysis
digital image denoising
Wavelet Transform