• DocumentCode
    2560927
  • Title

    Image inpainting methods by using cellular neural networks

  • Author

    Gacsadi, Alexandru ; Szolgay, Peter

  • Author_Institution
    Dept. of Electron., Oradea Univ., Romania
  • fYear
    2005
  • fDate
    28-30 May 2005
  • Firstpage
    198
  • Lastpage
    201
  • Abstract
    Some CNN methods are presented that can be used for the reconstruction of damaged or partially known images. The proposed methods take the possibility of direct implementation on an existing CNN chip into account, in a single step, by using 3*3 dimensional linear reaction templates. Due to complete parallel processing, computational time reduction is achieved. Efficiency of these methods can be increased by combining them with nonlinear template that ensures the growth of the local properties spreading area along with regional ones.
  • Keywords
    cellular neural nets; image reconstruction; parallel processing; cellular neural networks; damaged images; dimensional linear reaction templates; image inpainting method; image reconstruction; parallel processing; Cellular neural networks; Concurrent computing; Cost function; Gray-scale; Image processing; Image reconstruction; Image restoration; Laboratories; Parallel processing; Partial differential equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2005 9th International Workshop on
  • Print_ISBN
    0-7803-9185-3
  • Type

    conf

  • DOI
    10.1109/CNNA.2005.1543195
  • Filename
    1543195