• DocumentCode
    1609440
  • Title

    Image inpainting via isophotes propagation

  • Author

    Benzarti, Faouzi ; Amiri, Hamid

  • Author_Institution
    Signal, Image & Patterns Recognition Lab. (TSIRF), ENIT, Ariana, Tunisia
  • fYear
    2012
  • Firstpage
    359
  • Lastpage
    364
  • Abstract
    The inpainting is a process that restore or repair a damaged or corrupted part of the image or video in undetectable form. This technique has a wide range of applications, such as removing scratches in old photographic image, removing text and logos or creating cartoon and artistic effects. In this paper, we propose a new approach for image inpainting based on non linear diffusion tensor. The idea is to track perfectly the local geometry of the damaged image and allowing diffusion only in the isophote curves direction. To illustrate the effective performance of our model, we present some experimental results on a test and real photographic color images.
  • Keywords
    image colour analysis; image restoration; tensors; image inpainting process; image restoration; isophote curve direction; isophotes propagation; nonlinear diffusion tensor; photographic color images; Anisotropic magnetoresistance; Equations; Image restoration; Mathematical model; Streaming media; TV; Tensile stress; Diffusion tensor; Image restoration; Inpainting; Isophote; PDE;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012 6th International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4673-1657-6
  • Type

    conf

  • DOI
    10.1109/SETIT.2012.6481941
  • Filename
    6481941