摘要
图象的小波变换具有空-频同时局域化的性质,矢量量化编码能获得较高的压缩率.我们对原始图象经三轮小波分解形成10个子带,对最低频成分的子带采用标量量化,而对其余子带采用矢量量化编码.通过编码后的数据,能够重建原图。
The wavelet analysis of images has a special property of “time frequency localization”, while vector quantization (VQ) can obtain high compression ratio. The original images are decomposed three times using wavelet transform to form ten subbands. For the low frequency subbands, the scalar quantization, for the others, VQ is used. From the coded date, the image can be reconstructed, the experimental results show that the method can achieve good effect.
出处
《四川大学学报(自然科学版)》
CAS
CSCD
北大核心
1997年第1期66-70,共5页
Journal of Sichuan University(Natural Science Edition)
基金
四川省应用基础研究专项经费资助
关键词
图象编码
图象处理
小波变换
矢量量化编码
wavelet transform, vector quantization, date compression, image coding