• DocumentCode
    463530
  • Title

    Suppression of Mosquito Noise by Recursive Epsilon-Filters

  • Author

    Abbas, Haider ; Karam, Lina J.

  • Author_Institution
    Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
  • Volume
    1
  • fYear
    2007
  • fDate
    15-20 April 2007
  • Abstract
    This work addresses the problem of mosquito noise (MN) reduction in compressed video sequences. A compression-blind approach is adopted; the advantage of such an approach is that it is independent of the particular compressor used and of its particular settings. A recursive filtering scheme is presented. It is shown how the filtering parameter ϵ can be adaptively selected to maximize the denoising performance by minimizing the number of outlier pixels in the filter´s support. Simulation results show that the proposed blind MN-denoising scheme outperforms existing MN-denoising methods.
  • Keywords
    data compression; image resolution; image sequences; recursive filters; video coding; blind MN-denoising scheme; compressed video sequences; compression-blind approach; mosquito noise reduction; outlier pixels; particular compressor; recursive epsilon-filters; recursive filtering scheme; Adaptive filters; Discrete cosine transforms; Filtering; Focusing; Image coding; Noise reduction; Quantization; Video compression; Video sequences; Wiener filter; Denoising; Epsilon Filter; Mosquito Noise; Restoration; Video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0727-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2007.366022
  • Filename
    4217194