• DocumentCode
    1741642
  • Title

    Joint Kalman-based noise filtering and motion compensated video coding for low bit rate videoconferencing

  • Author

    Biloslavo, Manuel ; Ramponi, Giovanni ; Olivieri, Stefano ; Albani, Luigi

  • Author_Institution
    Dipt. di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    992
  • Abstract
    The problem of noise filtering for video coding applications is considered in this paper. In a previous paper by S. Olivieri and L. Albini (see Proc. ICIP´99, Kobe, Japan, Oct. 1999) an advantageous technique to combine a motion compensated (MC) noise filter with the coding loop of an MC hybrid coding scheme was illustrated, and a rate-distortion (RD) optimization framework was proposed. Here, we describe an alternative structure for denoising image sequences to be coded, which is based on Kalman filtering. Experimental results reveal that this technique provides performances as good as those of the RD-optimized noise filter of S. Olivieri and L. Albini, while the computational complexity has been greatly reduced
  • Keywords
    Kalman filters; computational complexity; filtering theory; image sequences; interference suppression; motion compensation; rate distortion theory; teleconferencing; video coding; Kalman filtering; computational complexity; image denoising; image sequences; low bit rate videoconferencing; motion compensation; noise filtering; rate-distortion (RD) optimization; video coding; Additive noise; Bit rate; Computational complexity; Electronic mail; Filtering; Image sequences; Kalman filters; Noise reduction; Rate-distortion; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.901128
  • Filename
    901128