• DocumentCode
    1744842
  • Title

    Design of non-linear multi-resolution decompositions with applications to image compression

  • Author

    Cardoso, Eduarclo S., Jr. ; da Silva, E.A.B.

  • Author_Institution
    PEE/COPPE/DEL/EE, Univ. Fed. do Rio de Janeiro, Brazil
  • Volume
    2
  • fYear
    2001
  • fDate
    6-9 May 2001
  • Firstpage
    493
  • Abstract
    This paper suggests two novel heuristics to design maximally-decimated non-linear decompositions based on the lifting scheme. The first one dictates the desirable characteristics a nonlinear operator should have in order to be able to generate good decompositions. Based on this heuristic, we introduce two nonlinear operators using mathematical morphology. The second heuristic is related to the design of good nonlinear decompositions using the introduced operators in a lifting scheme. Simulation results show that nonlinear decompositions thus generated perform well in image coding schemes
  • Keywords
    data compression; image coding; image resolution; mathematical morphology; image coding schemes; image compression; lifting scheme; mathematical morphology; nonlinear multi-resolution decompositions; Character generation; DC generators; Image coding; Image reconstruction; Morphology; Signal generators; Smoothing methods; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-6685-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2001.921115
  • Filename
    921115