• DocumentCode
    604892
  • Title

    Adaptive fractal intra-frame video coding technique using parallel GPU environment

  • Author

    Kulkarni, M.V. ; Kulkarni, D.B.

  • Author_Institution
    Jawaharlal Nehru Technol. Univ., Hyderabad, India
  • fYear
    2013
  • fDate
    1-2 March 2013
  • Firstpage
    56
  • Lastpage
    61
  • Abstract
    Due to the increase in the usage of computers and internet, the demand for higher transmission speed and lower storage is increasing as well. This leads to the necessity fo r video compression. Image encoding is framed upon the fractal coding method. This method is based on the assumption that image redundancy can be efficiently explored through self-block transformability. It has shown good results in producing resolution independent, high-fidelity images. The decoding process, which has low complexity, also suggests use in real time applications. The high encoding time has unfortunately produced discouraging results. In this paper, a new approach is depicted where a comparison of range blocks with the domain pool is implemented using a parallel approach.
  • Keywords
    Internet; data compression; graphics processing units; video coding; Internet; adaptive fractal intra-frame video coding technique; fractal coding method; higher transmission speed; image encoding; image redundancy; lower storage; parallel GPU environment; self-block transformability; video compression; Decoding; Distortion measurement; Fractals; Graphics processing units; Image coding; Transforms; Video compression; Domain; Fractal; GPU-Graphics Processing Unit; Range;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Signal Processing (ISSP), 2013 International Conference on
  • Conference_Location
    Gujarat
  • Print_ISBN
    978-1-4799-0316-0
  • Type

    conf

  • DOI
    10.1109/ISSP.2013.6526874
  • Filename
    6526874