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An entropy-coded lattice vector quantizer for transform and subband image coding
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DOI：10.1109/83.480764.png)
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Abstract
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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(1) norm, A software implementation is able to handle lattice codebooks of size 2(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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