• DocumentCode
    294736
  • Title

    High resolution standards conversion of low resolution video

  • Author

    Patti, Andrew J. ; Sezan, M. ; Tekalp, A. Murat

  • Author_Institution
    Dept. of Electr. Eng., Rochester Univ., NY, USA
  • Volume
    4
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    2197
  • Abstract
    With the advent of frame grabbers capable of acquiring multiple video frames, a great deal of attention is being directed at creating high-resolution (hi-res) imagery from interlaced or low-resolution (low-res) video. This is a multi-faceted problem, which generally necessitates standards conversion and hi-res reconstruction. Standards conversion is the problem of converting from one spatio-temporal sampling lattice to another, while hi-res image reconstruction involves increasing the spatial sampling density. Also of interest is removing degradations that occur during the image acquisition process. These tasks have all received considerable, yet separate, treatment in the literature. A unifying video formation model is presented which addresses these problems simultaneously. Then, a POCS-based algorithm for generating high-resolution imagery from video is delineated. Results with real imagery are included
  • Keywords
    image reconstruction; image resolution; image sampling; telecommunication standards; video signal processing; HDTV; POCS-based algorithm; frame grabbers; high resolution reconstruction; high resolution standards conversion; high-resolution imagery; image acquisition; image reconstruction; interlaced video; low resolution video; multiple video frames; real imagery; spatial sampling density; spatio-temporal sampling lattice; video formation model; Degradation; Displays; HDTV; High-resolution imaging; Image converters; Image generation; Image reconstruction; Image sampling; Image sensors; Lattices; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.479912
  • Filename
    479912