• DocumentCode
    598247
  • Title

    Noncausal directional intra prediction: Theoretical analysis and simulation

  • Author

    Yu Gao ; Jie Liang

  • Author_Institution
    Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    2917
  • Lastpage
    2920
  • Abstract
    This paper presents the theoretical analysis and simulation of noncausal directional intra prediction for image and video coding, where noncausal pixels, that is, pixels inside, below, or to the right of the target block, are used to predict the block, at the cost of extra bits to code those noncausal reference pixels. The proposed method generalizes the conventional causal intra prediction. The optimal number and locations of noncausal reference pixels are determined by minimizing the total differential entropies of the prediction residuals and the noncausal pixels. In order to obtain the differential entropy, a statistical image model is used to derive the autocorrelation of the residuals. In addition, the optimal sinusoidal approximations to transform the residuals are obtained by maximizing the coding gain. In the simulation, the optimal noncausal reference pixels and transforms of 4 × 4 and 8 × 8 blocks are identified for up to 33 directions. The results could provide insights for the design of more advanced directional intra prediction for the High Efficiency Video Coding (HEVC).
  • Keywords
    statistical analysis; video coding; HEVC; differential entropies; high efficiency video coding; image coding; noncausal directional intra prediction; noncausal pixels; optimal number; optimal sinusoidal approximations; reference pixels; statistical image model; Correlation; Encoding; Entropy; Image coding; Optimization; Transforms; Video coding; HEVC; Video coding; estimation theory; information theory; intra prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467510
  • Filename
    6467510