• DocumentCode
    865982
  • Title

    Inpainting of Binary Images Using the Cahn–Hilliard Equation

  • Author

    Bertozzi, Andrea L. ; Esedoglu, Selim ; Gillette, Alan

  • Author_Institution
    Math. Dept., California Univ., Los Angeles, CA
  • Volume
    16
  • Issue
    1
  • fYear
    2007
  • Firstpage
    285
  • Lastpage
    291
  • Abstract
    Image inpainting is the filling in of missing or damaged regions of images using information from surrounding areas. We outline here the use of a model for binary inpainting based on the Cahn-Hilliard equation, which allows for fast, efficient inpainting of degraded text, as well as super-resolution of high contrast images
  • Keywords
    image resolution; Cah-Hilliard equation; binary images; high contrast images resolution; image inpainting; Boundary conditions; Degradation; Equations; Filling; Image denoising; Image resolution; Image restoration; Image segmentation; Interpolation; Mathematics; Binary images; Cahn–Hilliard equation; image inpainting; super-resolution; Algorithms; Artifacts; Computer Graphics; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Paintings;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2006.887728
  • Filename
    4032803
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=865982