Efficient denoising of piecewise-smooth signals with forward-backward FIR smoothers

  • Authors:
  • Osbaldo Vite-Chávez;Roberto Olivera-Reyna;Jorge Muñoz-Minjares;Yuriy S. Shmaliy;Oscar Ibarra-Manzano;Luis Morales-Mendoza

  • Affiliations:
  • Autonomous University of Zacatecas, Jalpa, Mexico;Autonomous University of Zacatecas, Jalpa, Mexico;Guanajuato University, Department of Electronics, Mexico;Guanajuato University, Department of Electronics, Mexico;Guanajuato University, Department of Electronics, Mexico;University of Veracruz, Department of Electronics, Mexico

  • Venue:
  • AMERICAN-MATH'12/CEA'12 Proceedings of the 6th WSEAS international conference on Computer Engineering and Applications, and Proceedings of the 2012 American conference on Applied Mathematics
  • Year:
  • 2012

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Abstract

A forward-backward (FB) unbiased finite impulse response (UFIR) smoothing algorithm is addressed to provide efficient denoising of piecewise-smooth signals with known or identifiable edge positions. Owing to the time-variant horizon, the algorithm unites advantages of linear structures with robustness of nonlinear ones. The FB UFIR smoother proposed has been examined in Gaussian and heavy-tailed noise environments and compared to the nonlinear myriad filter fitting the Cauchy statistics. Based upon, we show that the smoother is able to preserve edges without jitter and provide denoising with sufficient robustness against outliers.