Kronecker-product gain-shape vector quantization for multispectral and hyperspectral image coding

@article{Canta1998KroneckerproductGV,
  title={Kronecker-product gain-shape vector quantization for multispectral and hyperspectral image coding},
  author={Gerardo R. Canta and Giovanni Poggi},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={1998},
  volume={7 5},
  pages={
          668-78
        }
}
This paper proposes a new vector quantization based (VQ-based) technique for very low bit rate encoding of multispectral images. We rely on the assumption that the shape of a generic spatial block does not change significantly from band to band, as is the case for high spectral-resolution imagery. In such a hypothesis, it is possible to accurately quantize a three-dimensional (3-D) block-composed of homologous two-dimensional (2-D) blocks drawn from several bands-as the Kronecker-product of a… CONTINUE READING
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