• DocumentCode
    3465401
  • Title

    Imaging model at different resolutions

  • Author

    Kopparapu, Sunil K. ; Corke, Peter I.

  • Author_Institution
    CSIRO Manuf. Sci. & Technol., Kenmore, Qld., Australia
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    785
  • Abstract
    Multiresolution analysis is being extensively used in image processing and computer vision problems. We derive the image formation model at a coarse resolution given the image model at a fine resolution, in particular we give an expression to calculate the blur matrix at a coarse resolution given the blur matrix at fine resolution, In particular, we consider the image model YΩ=ℋΩXΩ+W Ω at resolution Ω and show that the image model at a coarser resolution, Ω-1, retains the same structure and can be shown to be YΩ-1=ℋΩ-1XΩ-1+W Ω-1
  • Keywords
    computer vision; image resolution; matrix algebra; blur matrix; coarse resolution; computer vision; fine resolution; image formation model; image processing; imaging model; multiresolution analysis; Australia; Band pass filters; Computer vision; Data structures; Frequency; Image processing; Image resolution; Low pass filters; Signal processing; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
  • Conference_Location
    Brisbane, Qld.
  • Print_ISBN
    1-86435-451-8
  • Type

    conf

  • DOI
    10.1109/ISSPA.1999.815789
  • Filename
    815789