• DocumentCode
    607597
  • Title

    Super-resolution based coding approach for H.264 standard

  • Author

    Ates, H.F.

  • Author_Institution
    Elektrik-Elektron. Muhendisligi Bolumu, Isik Univ., İstanbul, Turkey
  • fYear
    2013
  • fDate
    24-26 April 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In literature video coding efficiency of H.264 standard has been improved using decoder-side super-resolution (SR). In this paper SR estimation is used during encoding in place of skip/direct mode prediction of H.264 standard and coding performance is optimized. First P- and B-frames are downsampled and H.264 encoded at lower resolution (LR). Then reconstructed LR frames are super-resolved using decoder-side motion estimation. Also bicubic interpolation of the LR frame is used as an alternative to SR reconstruction. A rate-distortion optimal mode selection algorithm determines for each macroblock which of the two reconstructions to use as skip/direct mode prediction. Simulations indicate an average of 1.36 dB PSNR improvement or 30.3% bitrate reduction at low bitrates when compared to H.264 standard. Average PSNR gains reach as high as 3.63 dB depending on the video content.
  • Keywords
    image reconstruction; image resolution; interpolation; rate distortion theory; video coding; H.264 standard; LR frame reconstruction; PSNR gain; PSNR improvement; SR estimation; SR reconstruction; bicubic interpolation; bitrate reduction; coding performance; decoder-side motion estimation; decoder-side super-resolution; encoding; lower resolution; macroblock; rate-distortion optimal mode selection algorithm; skip/direct mode prediction; super-resolution based coding; video coding efficiency; video content; Encoding; Ice; Image resolution; PSNR; Signal resolution; Standards; Video coding; H.264 video coding; low bitrate; super-resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2013 21st
  • Conference_Location
    Haspolat
  • Print_ISBN
    978-1-4673-5562-9
  • Electronic_ISBN
    978-1-4673-5561-2
  • Type

    conf

  • DOI
    10.1109/SIU.2013.6531175
  • Filename
    6531175