Nowadays, wavelet transform, vector quantization and embedded encoding has been the primary technique and study focus for image compression, to which people attach their more importance.

目前，小波变换、矢量量化以及嵌入式编码已经成为图像压缩的主要技术及研究热点，越来越受到重视。

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Considering pixels of different levels have different significance, we utilize improved embedded zerotree wavelet (EZW) to get multilevel thresholds quantization.

根据不同等级像素重要性不同的特性，采用改进的嵌入零树小波编码方法对预测结果进行多阈值量化。

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The embedded image compression algorithm is discussed. To speed the embedded image compression algorithm with wavelet, a depth variable embedded coding scheme is proposed.

为了提高小波嵌入压缩算法的速度，提出了一种可变深度嵌入小波压缩算法。

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