摘要
该文基于多小波分解高通能量的极小化,提出了一种计算量小、实现简单的自适应预滤波方法,并将其推广到二维图像,对行与列分别处理,实现了图像的自适应预滤波,使恢复图像质量的整体效果变好。实验结果表明,利用本文提出的自适应预滤波方法进行图像压缩明显优于现有的其它预滤波器。
A simple and efficient method to design adaptive prefilters based on minimizing the high pass energy of the signal multiwavelet decomposition is presented in this paper. This method can be generalized to 2-dimensional images by processing rows and columns respectively. In this way adaptive prefiltering can be performed for images so that the reconstructed image quality is greatly improved. The experimental result shows that the adaptive prefilter given in this paper is superior to the other prefilters available.
出处
《电子与信息学报》
EI
CSCD
北大核心
2001年第10期949-953,共5页
Journal of Electronics & Information Technology
基金
部级电子预研基金(G9708C02)
关键词
自适应预滤波
图像压缩
图像变换
Multiwavelet, Adaptive prefilter, Image compression