• DocumentCode
    1654341
  • Title

    Fast super-resolution from video data using optical flow estimation

  • Author

    Krylov, Andrey ; Nasonov, Andrey

  • Author_Institution
    Fac. of Comput. Math. & Cybern., Moscow Lomonosov State Univ., Moscow
  • fYear
    2008
  • Firstpage
    853
  • Lastpage
    856
  • Abstract
    Regularization-based and a fast non-iterative methods using optical flow estimation are suggested for video data super-resolution with correction of non-uniform illumination.
  • Keywords
    image resolution; image sequences; iterative methods; fast noniterative methods; fast super-resolution; nonuniform illumination; optical flow estimation; regularization-based method; video data; video data super-resolution; Biomedical optical imaging; Cybernetics; Data flow computing; Image motion analysis; Image reconstruction; Mathematics; Optical computing; Optical filters; State estimation; Strontium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697262
  • Filename
    4697262
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1654341