• DocumentCode
    2156118
  • Title

    Image inpainting-based edge enhancement using the eikonal equation

  • Author

    Wang, Zhaozhong

  • Author_Institution
    Image Process. Center, Beihang Univ., Beijing, China
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    1261
  • Lastpage
    1264
  • Abstract
    This paper proposes a novel application of image inpainting techniques for the edge enhancement problems in image deblurring and denoising. The edge enhancement effect is achieved by the jumps of pixel values at edge locations resulted from an inpainting process. The process is formulated by the eikonal partial differential equation (PDE) to rule the inpainting priority of pixels in automatically erased regions. The equation is then numerically solved by the fast marching method. A solution of the Laplace´s equation is also embedded in the numerical scheme to assure the smoothness in non-edge locations. Experiments are performed and comparisons are made with other PDE-based enhancement methods to demonstrate the merit of the proposed algorithm.
  • Keywords
    Laplace equations; edge detection; image denoising; image enhancement; partial differential equations; Laplace equation; PDE-based enhancement methods; edge enhancement effect; edge locations; eikonal partial differential equation; fast marching method; image deblurring; image denoising; image inpainting techniques; Anisotropic magnetoresistance; Electric shock; Equations; Image edge detection; Laplace equations; Mathematical model; Pixel; Image inpainting; Laplace´s equation; edge enhancement; eikonal equation; fast marching method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946640
  • Filename
    5946640