• DocumentCode
    2238877
  • Title

    Image enhancement using non-linear diffusion

  • Author

    Proesmans, M. ; Pauwels, E.J. ; Gool, L. J Van ; Moons, T. ; Oosterlinck, A.

  • Author_Institution
    Electr. Eng., Katholieke Univ., Leuven, Belgium
  • fYear
    1993
  • fDate
    15-17 Jun 1993
  • Firstpage
    680
  • Lastpage
    681
  • Abstract
    The potential of coupled nonlinear diffusion processes to provide an efficient and implementable mechanism capable of edge preserving smoothing and noise suppression is investigated. The basic idea is that several maps undergo coupled development towards an equilibrium state. These maps could contain intensity, local edge strength, range, or another quantity. All these maps, including the edge map, contain continuous rather than all-or-nothing information, following a strategy of least commitment. Each of the approaches is developed and tested on a parallel transputer network
  • Keywords
    diffusion; filtering theory; image enhancement; edge map; edge preserving smoothing; equilibrium state; image enhancement; image processing; local edge strength; noise suppression; nonlinear diffusion processes; parallel transputer network; Anisotropic magnetoresistance; Convergence; Couplings; Diffusion processes; Equations; Image enhancement; Moon; Noise figure; Noise generators; Smoothing methods; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-3880-X
  • Type

    conf

  • DOI
    10.1109/CVPR.1993.341030
  • Filename
    341030