Region based compression of multispectral images by classified KLT

  • Cagnazzo M
  • Gaetano R
  • Parrilli S
 et al. 
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A new region-based algorithm is proposed for the compression of multispectral images. The image is segmented in homogeneous regions, each of which is subject to spectral KLT, spatial shape-adaptive DWT, and SPIHT encoding. We propose to use a dedicated KLT for each region or for each class rather than a single global KLT. Experiments show that the classified KLT guarantees a significant increase in energy compaction, and hence, despite the need to transmit more side information, it provides a valuable performance gain over reference techniques.

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  • SCOPUS: 2-s2.0-84862625089
  • SGR: 84862625089
  • ISSN: 22195491
  • PUI: 365059832


  • M. Cagnazzo

  • R. Gaetano

  • S. Parrilli

  • L. Verdoliva

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