小波变换与矢量量化编码

WAVELET TRANSFORM AND VECTOR QUANTIZATION CODING

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.