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。
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。
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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