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Image coding with uniform and piecewise-uniform vector quantizers

机译:使用均匀和分段均匀矢量量化器进行图像编码

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摘要

New lattice vector quantizer design procedures for nonuniform sources that yield excellent performance while retaining the structure required for fast quantization are described. Analytical methods for truncating and scaling lattices to be used in vector quantization are given, and an analytical technique for piecewise-linear multidimensional companding is presented. The uniform and piecewise-uniform lattice vector quantizers are then used to quantize the discrete cosine transform coefficients of images, and their objective and subjective performance and complexity are contrasted with other lattice vector quantizers and with LBG training-mode designs.
机译:描述了用于非均匀源的新晶格矢量量化器设计过程,该过程可产生出色的性能,同时保留快速量化所需的结构。给出了用于矢量量化的截断和缩放格的解析方法,并提出了分段线性多维压扩的解析技术。然后使用均匀和分段均匀的点阵矢量量化器来量化图像的离散余弦变换系数,并将其客观和主观性能以及复杂性与其他点阵矢量量化器和LBG训练模式设计进行对比。

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