• DocumentCode
    3264950
  • Title

    A Lattice-Boltzmann method for image inpainting

  • Author

    Chen, Yu

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    1222
  • Lastpage
    1225
  • Abstract
    To recover the lost information of the image, an Lattice-Boltzmann method based image inpainting algorithm was proposed in this paper. The examination results show that the our method can recover the apple image effectively, and has higher PNSR than the algorithm based on the curvature-driven diffusions(CDD). More over, the parallism of the LBMII can be used to build the high speed parallel image processing system.
  • Keywords
    image processing; image restoration; lattice Boltzmann methods; partial differential equations; LBMII; apple image; curvature driven diffusions; high speed parallel image processing; image information recovery; image inpainting; lattice-Boltzmann method; partial differential equations; Anisotropic magnetoresistance; Automata; Equations; Image processing; Lattice Boltzmann methods; Mathematical model; Partial differential equations; Lattice-Boltzmann method; ccurvaure driven diffusions; image inpainting; partial differential equation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5647241
  • Filename
    5647241