• DocumentCode
    3707634
  • Title

    Image coding with incomplete transform competition for HEVC

  • Author

    Adrià Arrufat;Anne-Flore Perrin;Pierrick Philippe

  • Author_Institution
    Orange Labs, 4, Rue du Clos Courtel, 35512 Cesson-Sé
  • fYear
    2015
  • Firstpage
    2349
  • Lastpage
    2353
  • Abstract
    Overcomplete transforms have received considerable attention over the past years. However, they often suffer from a complexity burden. In this paper, a low complexity approach is provided, where an orthonormal basis is complemented with a set of incomplete transforms: those incomplete transforms include a reduced number of basis vectors that allow a reduction on the coding complexity and ensure a certain level of sparsity. The solution has been implemented in the HEVC standard and compression gains of around 1% on average are reported while reducing the decoder complexity in about 5%.
  • Keywords
    "Discrete cosine transforms","Image coding","Measurement","Encoding","Standards","Complexity theory"
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIP.2015.7351222
  • Filename
    7351222