Region based compression of multispectral images by classified KLT

  • Cagnazzo M
  • Gaetano R
  • Parrilli S
 et al. 
  • 8


    Mendeley users who have this article in their library.
  • 4


    Citations of this article.


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.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

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


Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free