• DocumentCode
    1736547
  • Title

    Image inpainting based on Radial Basis Function

  • Author

    Wang, Linlin ; Wang, Yajie

  • Author_Institution
    Eng. Training Center, Shenyang Aerosp. Univ., Shenyang, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    1287
  • Lastpage
    1290
  • Abstract
    This paper is concerned with Radial Basis Function (RBF) for restoration of damaged images. We introduce the RBF into the image inpainting, and the 2D image inpainting problem is naturally converted to 3D implicit surface reconstruction problem,which has been used successfully. Otherwise, we do some experiments with several kinds of damaged images, the results showed that the use of the RBF method for image processing applications is feasible.
  • Keywords
    image restoration; radial basis function networks; 3D implicit surface reconstruction; RBF method; damaged image restoration; image inpainting; image processing; radial basis function; Educational institutions; Image edge detection; Image restoration; image inpainting; image processing; radial basis function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2011 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1586-0
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2011.6182195
  • Filename
    6182195
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1736547