Reduced storage VQ via secondary quantization

@article{Hui1998ReducedSV,
  title={Reduced storage VQ via secondary quantization},
  author={Dennis Hui and Daniel F. Lyons and David L. Neuhoff},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={1998},
  volume={7 4},
  pages={
          477-95
        }
}
  • Dennis Hui, Daniel F. Lyons, David L. Neuhoff
  • Published in IEEE Trans. Image Processing 1998
  • Mathematics, Medicine, Computer Science
  • This paper introduces methods for reducing the table storage required for encoding and decoding with unstructured vector quantization (UVQ) or tree-structured vector quantization (TSVQ). Specifically, a low-storage secondary quantizer is used to compress the code vectors (and test vectors) of the primary quantizer. The relative advantages of uniform and nonuniform secondary quantization are investigated. A Linde-Buzo-Gray (LBG) like algorithm that optimizes the primary UVQ codebook for a given… CONTINUE READING

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