A lattice-based vector quantizer (VQ) and noiseless code are proposed for transform and subband image coding. The quantization is simple to implement, and no vector codebooks need to be stored. The noiseless code enumerates lattice codevectors based on their (weighted) l/sub 1/ norm. A software implementation is able to handle lattice codebooks of size 2/sup 256/. The image coding performance is shown to be comparable or superior to the best encoding methods reported in the literature.
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机译：提出了基于格的矢量量化器（VQ）和无噪码，用于变换和子带图像编码。量化易于实现，并且无需存储矢量码本。无噪声代码根据其（加权）l / sub 1 /范数枚举晶格代码矢量。一个软件实现能够处理大小为2 / sup 256 /的点阵码本。图像编码性能被证明与文献中报道的最佳编码方法相当或更好。
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