• DocumentCode
    2133011
  • Title

    A structure first image inpainting approach based on self-organizing map (SOM)

  • Author

    Bo, Chen ; Wang, Zhaoxia ; Ming, Bai ; Wang, Quan ; Zhen, Sun

  • Author_Institution
    School of Electronics Information Engineering, Tianjin University of Technology, 300191, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a structure first image inpainting method based on self-organizing map (SOM). SOM is employed to find the useful structure information of the damaged image. The useful structure information which includes relevant edges of the image is used to simulate the structure information of the lost or damaged area in the image. The structure information is described by distinct or indistinct curves in an image in this paper. The obtained target curves separate the damaged area of the image into several parts. As soon as each part of the damaged image is restored respectively, the damaged image is inpainted. The efficiency of the proposed method is demonstrated by the simulation results.
  • Keywords
    Artificial neural networks; Fitting; Image edge detection; Image restoration; Mathematical model; Neurons; Polynomials; curve fitting; image inpainting; neural networks; self-organizing map (SOM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5690599
  • Filename
    5690599