Partitioned vector quantization: application to lossless compression of hyperspectral images

@inproceedings{Motta2003PartitionedVQ,
  title={Partitioned vector quantization: application to lossless compression of hyperspectral images},
  author={Giovanni Motta and Francesco Rizzo and James A. Storer},
  booktitle={ICASSP},
  year={2003}
}
A novel design for a vector quantizer that uses multiple codebooks of variable dimensionality is proposed. High dimensional source vectors are first partitioned into two or more subvectors of (possibly) different length and then, each subvector is individually encoded with an appropriate codebook. Further redundancy is exploited by conditional entropy… CONTINUE READING