• DocumentCode
    3570613
  • Title

    Intra-frame coding with recursive intra prediction and adapted block transforms

  • Author

    Tekeli, Nihat ; Kamisli, Fatiti

  • Author_Institution
    Electr. & Electron. Eng. Dept., Middle East Tech. Univ., Ankara, Turkey
  • fYear
    2014
  • Firstpage
    185
  • Lastpage
    188
  • Abstract
    Conventional intra-frame coding is performed in two steps. First, a block of pixels are predicted by copying previously reconstructed neighbor pixels of the block along an angular direction inside the block. Then, the prediction residual block is transform-coded with the well-known 2-D Discrete Cosine Transform (DCT). Recently, it has been shown that transforming the intra prediction residuals with the odd type-3 Discrete Sine Transform (ODST-3) along the prediction direction and the DCT along the perpendicular direction improves the compression performance. More recently, a recursive prediction approach has been proposed for intra prediction. In this paper, we show that combining the recursive intra prediction approach and the ODST-3/DCT transform improves overall intra-frame compression performance relative to using only one of these methods. We also show that this performance can be improved further by developing transforms specifically adapted to the prediction residuals of the recursive intra prediction approach.
  • Keywords
    data compression; discrete cosine transforms; video coding; 2D discrete cosine transform; DCT; ODST-3; adapted block transforms; angular direction; intra prediction residuals; intra-frame coding; intra-frame compression; odd type-3 discrete sine transform; prediction residual block; previously reconstructed neighbor pixels; recursive intra prediction; transform-coded; Discrete cosine transforms; Encoding; Equations; Markov processes; Mathematical model; Prediction algorithms; Discrete cosine transforms; Intra prediction; Markov processes; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Communications and Image Processing Conference, 2014 IEEE
  • Type

    conf

  • DOI
    10.1109/VCIP.2014.7051535
  • Filename
    7051535