Color quantization by multiresolution analysis (Contributo in volume (capitolo o saggio))

Type
Label
  • Color quantization by multiresolution analysis (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/978-3-642-03767-2_64 (literal)
Alternative label
  • Ramella G; Sanniti di Baja G. (2009)
    Color quantization by multiresolution analysis
    Springer-Verlag, Berlin Heidelberg (Germania) in Computer Analysis of Images and Patterns, 2009
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Ramella G; Sanniti di Baja G. (literal)
Pagina inizio
  • 522 (literal)
Pagina fine
  • 532 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • CAIP 2009 - 13th International Conference on Computer Analysis of Images and Patterns (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.springerlink.com/content/7274362414r82042/ (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Computer Analysis of Images and Patterns (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 5702 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 11 (literal)
Note
  • SpringerLink (literal)
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
  • ACM DL (literal)
  • The Collection of Computer Science Bibliography (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Cibernetica \"E.Caianiello\" - CNR (literal)
Titolo
  • Color quantization by multiresolution analysis (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-3-642-03766-5 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Jiang X; Petkov N (literal)
Abstract
  • A color quantization method is presented, which is based on the analysis of the histogram at different resolutions computed on a Gaussian pyramid of the input image. Criteria based on persistence and dominance of peaks and pits of the histograms are introduced to detect the modes in the histogram of the input image and to define the reduced colormap. Important features of the method are, besides its limited computational cost, the possibility to obtain quantized images with a variable number of colors, depending on the user's need, and that the number of colors in the resulting image does not need to be a priori fixed. (literal)
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