• DocumentCode
    3382644
  • Title

    Line-based image coding using adaptive prediction filters

  • Author

    Peng, Xiulian ; Xu, Jizheng ; Wu, Feng

  • Author_Institution
    MSRA-MOE Joint Key Lab., Univ. of Sci. & Tech. of China, Hefei, China
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    4221
  • Lastpage
    4224
  • Abstract
    This paper proposes a line-based approach for image coding. Unlike conventional block-based image coding, the proposed method takes one line as a basic unit in coding and reconstruction. Such a structure allows us to perform better predictions between neighboring units and affords us more flexibility when coding each unit. We also present an efficient prediction method using adaptive prediction filters for this structure. Based on the neighboring information, we apply the best prediction filter on each line to get high-quality predictions. We show that the proposed line-based coding can perform comparatively or even better than the state-of-the-art block-based coding. When combing line-based and block-based coding together, the state-of-the-art image coding can be much improved.
  • Keywords
    adaptive filters; image coding; prediction theory; adaptive prediction filters; block-based image coding; line-based image coding; prediction method; Adaptive filters; Asia; Discrete cosine transforms; Entropy; Image coding; Image reconstruction; Information filtering; Information filters; Prediction methods; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5537573
  • Filename
    5537573