• DocumentCode
    133744
  • Title

    Limitations of super resolution image reconstruction for commercial products

  • Author

    Gohshi, Seiichi

  • Author_Institution
    Kogakuin Univ., Tokyo, Japan
  • fYear
    2014
  • fDate
    3-7 Aug. 2014
  • Firstpage
    319
  • Lastpage
    324
  • Abstract
    Super Resolution (SR) is technology that improves the resolution of an image. Most SR algorithms are complex and need iterations. Recent commercial products such as HDTV sets, BluRay players, and digital cameras are equipped with an SR technology called super resolution image reconstruction (SRR). SRR algorithms have strict constraint conditions and require precise motion vector detection. It is not easy to use SRR in HDTV sets that have to work in real time. In particular, HDTV content has motion blur since it is a moving image. The motion blur reduces resolution and makes it difficult to detect motion vectors accurately. Yet despite these obvious problems, the limitations of using SRR in commercial products have not been addressed. This paper discusses those limitations.
  • Keywords
    image motion analysis; image reconstruction; image resolution; BluRay players; HDTV sets; SR algorithms; SR technology; SRR algorithms; commercial products; digital cameras; motion blur; precise motion vector detection; strict constraint conditions; super resolution image reconstruction; Delays; Image resolution; Presses; TV; TV broadcasting; Video sequences; Image; Motion Blur; Super Resolution Reconstruction; Video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2014
  • Conference_Location
    Waikoloa, HI
  • Type

    conf

  • DOI
    10.1109/WAC.2014.6935916
  • Filename
    6935916