• DocumentCode
    3770286
  • Title

    Fast parameter estimation algorithm for sample adaptive offset in HEVC encoder

  • Author

    Sayed El Gendy;Ahmed Shalaby;Mohammed S. Sayed

  • Author_Institution
    ECE Department, Egypt-Japan University of Science and Technology (E-JUST), Alexandria, Egypt
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    HEVC has adopted Sample Adaptive Offset (SAO) as a new in-loop filtering block. SAO can significantly improve coding efficiency, however, it requires exhaustive operations in order to calculate best SAO parameters for each Coding Tree Unit (CTU). SAO parameters estimation process takes around 93 % of the overall SAO execution time which depends on number of candidate SAO modes. Real time and low power video encoders are in demand for more efficient SAO encoding algorithms. In this paper, we propose an algorithm that reduces the SAO parameter estimation complexity by adaptively reusing the dominate mode of corresponding set of CTUs. The proposed algorithm can save up to 75% of SAO parameter estimation time with only 0.8% BD-rate penalty.
  • Keywords
    "Encoding","Parameter estimation","Algorithm design and analysis","Degradation","Delays","Artificial intelligence","Filtering"
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing (VCIP), 2015
  • Type

    conf

  • DOI
    10.1109/VCIP.2015.7457894
  • Filename
    7457894