• DocumentCode
    626231
  • Title

    Limitation of Super Resolution Image Reconstruction for Video

  • Author

    Gohshi, Seiichi

  • Author_Institution
    Kogakuin Univ., Tokyo, Japan
  • fYear
    2013
  • fDate
    5-7 June 2013
  • Firstpage
    217
  • Lastpage
    221
  • Abstract
    Super resolution image reconstruction (SRR) is one of the typical super resolution (SR) technologies that has been researched in the past with varying results. The SRR algorithm was proposed for still images at first and was extended to video. However, there are different characteristics between still images and video. Many researches proposed ”Fast and Robust SRR” algorithms since SRR needs iterations that cause delay if they are applied to the real time video. Except for the delay SRR has other issues. One of the most interesting points of SRR for video is the limitation of the resolution. Although HDTV sets with SRR is in the market recently, their resolution is inferior to the HDTV sets without SR. In this paper the achievable highest resolution with SRR and the limitation of SRR for video is discussed.
  • Keywords
    image reconstruction; image resolution; video signal processing; HDTV sets; SRR algorithm; delay SRR; still images; super resolution image reconstruction; super resolution technologies; video; Cameras; Cost function; HDTV; Image reconstruction; Image resolution; Multimedia communication; Signal resolution; Frequency Domain; Image; Super Resolution Reconstruction; Video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Communication Systems and Networks (CICSyN), 2013 Fifth International Conference on
  • Conference_Location
    Madrid
  • Print_ISBN
    978-1-4799-0587-4
  • Type

    conf

  • DOI
    10.1109/CICSYN.2013.24
  • Filename
    6571368