Suppression of Mosquito Noise by recursive epsilon-filters

Houssam Abbas, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

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 me proposed blind MN-denoising scheme outperforms existing MN-denoising methods.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesI773-I776
DOIs
StatePublished - Aug 6 2007
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: Apr 15 2007Apr 20 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume1
ISSN (Print)1520-6149

Other

Other2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
CountryUnited States
CityHonolulu, HI
Period4/15/074/20/07

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Keywords

  • Denoising
  • Epsilon filter
  • Mosquito noise
  • Restoration
  • Video

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Abbas, H., & Karam, L. (2007). Suppression of Mosquito Noise by recursive epsilon-filters. In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 (pp. I773-I776). [4217194] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 1). https://doi.org/10.1109/ICASSP.2007.366022