• DocumentCode
    1987716
  • Title

    Enhanced line-based intra prediction with fixed interpolation filtering

  • Author

    Zhang, Li ; Ma, Siwei ; Gao, Wen ; Zhao, Xin

  • Author_Institution
    Inst. of Digital Media, Peking Univ., Beijing, China
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    613
  • Lastpage
    616
  • Abstract
    In this paper, a novel intra prediction algorithm, named enhanced line-based intra prediction (ELIP), is proposed to improve the traditional intra prediction methods for image/intra-frame coding. Different from the existing schemes where the interpolation filtering only depends on the intra prediction mode, in the proposed ELIP, the linear filtering coefficients are further refined by imposing both mode and position dependencies. For each intra prediction mode and each position within one block, a set of linear filtering coefficients are obtained from off-line training using the least square method. The proposed algorithm has been implemented in the latest ITU-T VCEG KTA software. Experimental results demonstrate that, compared with the intra coding scheme of KTA with new intra coding tool enabled, up to 0.44dB additional coding gain is achieved by the proposed method, while keeping applicable computational complexity for practical video codecs.
  • Keywords
    computational complexity; filtering theory; image coding; interpolation; least squares approximations; computational complexity; enhanced line-based intra prediction; fixed interpolation filtering; image/intra-frame coding; intra prediction mode; least square method; linear filtering coefficients; off-line training; video codecs; Encoding; Filtering; IP networks; Image coding; Maximum likelihood detection; Pixel; Training; Intra prediction; image coding; least square method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2011 IEEE International Symposium on
  • Conference_Location
    Rio de Janeiro
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4244-9473-6
  • Electronic_ISBN
    0271-4302
  • Type

    conf

  • DOI
    10.1109/ISCAS.2011.5937640
  • Filename
    5937640