• DocumentCode
    2136557
  • Title

    Improved image inpainting using maximum value edge detector

  • Author

    De, Chandralekha ; Shih, Frank Y.

  • Author_Institution
    Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA
  • fYear
    2012
  • fDate
    22-24 April 2012
  • Firstpage
    77
  • Lastpage
    80
  • Abstract
    Image inpainting is a novel method to repair damaged images. In this paper, an improved edge operator is proposed to calculate the structure priority value for determining the order of filling in an image. We use a maximum value edge operator which refines the number of edge pixels detected accurately as opposed to the existing method which relies on a single edge operator and in many cases may not provide the best output. An improvement in accuracy for edge detection thereby improves the quality of the inpainting method.
  • Keywords
    edge detection; image reconstruction; edge detection; image inpainting; maximum value edge detector; single edge operator; structure priority value calculation; Decision support systems; inpainting; texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on
  • Conference_Location
    Santa Fe, NM
  • Print_ISBN
    978-1-4673-1831-0
  • Electronic_ISBN
    978-1-4673-1829-7
  • Type

    conf

  • DOI
    10.1109/SSIAI.2012.6202457
  • Filename
    6202457