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An entropy-coded lattice vector quantizer for transform and subband image coding

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2 Author(s)
Mohd-Yusof, Z. ; School of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA ; Fischer, T.R.

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) l1 norm. A software implementation is able to handle lattice codebooks of size 2256. The image coding performance is shown to be comparable or superior to the best encoding methods reported in the literature

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Image Processing, IEEE Transactions on  (Volume:5 ,  Issue: 2 )