• DocumentCode
    3593534
  • Title

    A wavelet core for video processing

  • Author

    Diou, Camille ; Torres, Lionel ; Robert, Michel

  • Author_Institution
    LIRMM, Montpellier, France
  • Volume
    2
  • fYear
    2000
  • Firstpage
    395
  • Abstract
    The wavelet transform appears to be an efficient tool for image processing. However, the pyramid algorithm remains silicon area costly, essentially because of its memory needs, and depending on the size of filters used. This paper proposes a new implementation of the wavelet transform using the lifting scheme. Using an improved method of managing the data flow and the RAM, this method proposes many improvements such as in-place calculation, small memory needs, and easy inverse transform.
  • Keywords
    channel bank filters; image resolution; video signal processing; wavelet transforms; image processing; in-place calculation; inverse transform; lifting scheme; multiresolution analysis; small memory requirement; video processing; wavelet core; wavelet transform; Filter bank; Frequency; Image processing; Random access memory; Read-write memory; Signal analysis; Signal resolution; Silicon; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.899406
  • Filename
    899406