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.
出处
《现代电子技术》
北大核心
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)
关键词
图像处理
多小波变换
图像去噪
图像压缩
image processing
multi-wavelet transform
image denoising
image compression
