• DocumentCode
    2193225
  • Title

    Chapter 16: Image Restoration by Non-standard Diffusion

  • Author

    Maouni, M. ; Nouri, F.Z. ; Meskine, D.

  • Author_Institution
    Lab. de Math. Appl., Univ. Badji Mokhtar, Annaba
  • fYear
    2008
  • fDate
    9-11 July 2008
  • Firstpage
    98
  • Lastpage
    101
  • Abstract
    Many authors used different techniques for image restoration. Variational approaches are mainly used for this purpose. For example, the Mumfort-Shah is a model type for the free discontinuity in the restoration and segmentation of images. The main characteristic of this model is the isotropic diffusion, minimizing the length of the boundaries, while the classical models due to Rudin-Osher-Fatmi, minimize the total variation of the longest curves in the images. In this work we propose a new partial differential equation of order four that can be used for image restoration. This proposed model is a combination of the fast growth with respect to low curvature and the slow growth when the gradient is large. Numerical results are presented for both second and fourth order partial differential equations.
  • Keywords
    image restoration; image segmentation; partial differential equations; variational techniques; free discontinuity; image restoration; image segmentation; isotropic diffusion; nonstandard diffusion; partial differential equation; variational approaches; Differential equations; Image denoising; Image edge detection; Image processing; Image restoration; Image segmentation; Inverse problems; Nonlinear equations; Partial differential equations; Solid modeling; Ill-posed problem; edge detection; image de-noising; inverse problems; nonlinear partial differential equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geometric Modeling and Imaging, 2008. GMAI 2008. 3rd International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-0-7695-3270-7
  • Type

    conf

  • DOI
    10.1109/GMAI.2008.6
  • Filename
    4568613