变换系数采用非均匀标量量化和熵编码。
DCT coefficients were quantized through nonlinear scalar quantization and entropy coding.
在理论上上矢量量化的性能总是优于标量量化。
Vector quantization (VQ) is always more powerful than scalar quantization in theory.
矢量量化优于标量量化。它已成功地应用于图象的数据压缩。
Vector quantization, which has been applied successfully in the image coding, is more efficient than scale quantization.
将多描述标量量化与SPIHT编码联合起来，得到无线差错网络环境下的高效多描述图像编码。
This paper combines multiple description scalar quantization and SPIHT coding to get efficient multiple description image coding over wireless error-prone network.
针对标量量化压缩比小而向量量化压缩速度慢、图像复原效果不理想等弱点，提出了基于小波变换的分类量化图像编码算法(简称“分类量化编码”)。
To improve the compression ratio, image quality and coding efficiency, an image coding algorithm based on wavelet transform and scalar vector quantization is presented.
最后，针对几何分布不规则的一般信源，给出一般的几何矢量量化方法———标量矢量量化(SVQ)。
Finally, a more useful geometric vector quantization method is presented, which is called scalar vector quantization (SVQ).
最后，针对几何分布不规则的一般信源，给出一般的几何矢量量化方法———标量矢量量化(SVQ)。
Finally, a more useful geometric vector quantization method is presented, which is called scalar vector quantization (SVQ).
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