• DocumentCode
    3483545
  • Title

    Directional wavelet transforms for prediction residuals in video coding

  • Author

    Kamisli, Fatih ; Lim, Jae S.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    613
  • Lastpage
    616
  • Abstract
    Various directional transforms have been developed recently to improve image compression. In video compression, however, prediction residuals of image intensities, such as the motion compensation residual or the resolution enhancement residual, are transformed. The applicability of the directional transforms on prediction residuals have not been carefully investigated. In this paper, we briefly discuss differing characteristics of prediction residuals and images, and propose directional transforms specifically designed for prediction residuals. We compare these transforms with the directional transforms proposed for images using prediction residuals. The results of the comparison indicate that our proposed directional transforms can provide better compression of prediction residuals than the directional transforms proposed for images.
  • Keywords
    data compression; video coding; wavelet transforms; directional wavelet transform; image compression; image prediction residual; motion compensation residual; resolution enhancement residual; video coding; video compression; Anisotropic magnetoresistance; Discrete cosine transforms; Discrete transforms; Discrete wavelet transforms; Image coding; Laboratories; Transform coding; Video coding; Video compression; Wavelet transforms; Video coding; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5413857
  • Filename
    5413857