摘要
简要说明离散小波变换（ＤＷＴ）的Ｍａｌａｔ算法·分析了一维离散小波变换ＤＷＴ不能完全重构信号的原因·对二维离散小波变换ＤＷＴ的重构性进行了讨论·在此基础上提出改进型的Ｍａｌａｔ二维ＤＷＴ算法·压缩实验表明改进型的Ｍａｌａｔ二维ＤＷＴ算法对提高图像压缩及重建质量是有效的·
It is analyzed why one dimension discrete wavelet transform (DWT)cannot perfectly reconstruct the original signal. The reconstruction performance of two dimension DWT is discussed. A Mallat 2 D DWT algorithm is proposed to improve the performance. The compression experiment result shows that the proposed Mallat 2 D DWT algorithm is effective for compression performance of medical image.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
1999年第2期151-154,共4页
Journal of Northeastern University(Natural Science)
基金
辽宁省自然科学基金
关键词
医学图像压缩
小波变换
DWT
MALLAT算法
medical image compression, discrete wavelet transformation(DWT), LZHuffman coding.
