基于图像处理的多小波变化理论及其应用  

Multi-wavelet transform theory based on image processing and its application

作　　者：茹庆云 郭献洲[2] 

机构地区：[1]河南工学院 [2]河北工业大学

出　　处：《现代电子技术》2017年第18期95-97,100,共4页Modern Electronics Technique

基　　金：国家自然科学基金(10701031)

摘　　要：为了使图像处理更好地服务于信息的传递和表达,在此引入多小波变换理论。通过对多小波变换的原理进行分析,在结合离散多小波变换实现方法的基础上,对图像处理中多小波变换的应用展开了深入研究。研究表明,与单小波相比,多小波变换在图像压缩以及图像去噪等方面均具有更加显著的效果。In order to make image processing serve the information transmission and expression better, the multi-wavelet transform theory is introduced. On the basis of analyzing the multi-wavelet transform theory and combining discrete multi-wavelet transform implementation method, the application of multi-wavelet transform in image processing is studied deeply. The research results show that, in comparison with single-wavelet transform, the multi-wavelet transform has better effect in the aspects of image compression and image denoising.

关 键 词：图像处理 多小波变换 图像去噪 图像压缩 

分 类 号：TN911.34[电子电信—通信与信息系统] TP391.9[电子电信—信息与通信工程]