Anisotropic diffusion for noise removal of band pass signals

نویسنده

  • Sasan Mahmoodi
چکیده

A noise removal method for band pass signals based on the anisotropic diffusion algorithm originally put forward by Perona and Malik is proposed in this paper. The anisotropic smoothing algorithm proposed here is for band pass signals modulated with a constant carrier frequency. A partial differential equation to smooth band pass noisy signals is derived. The propagator of this differential equation is also analytically calculated in this paper. An appropriate linear operator is then considered here for such band pass signals to form an anisotropic diffusion algorithm. The algorithm proposed here demonstrates better performance for band pass noisy signals containing discontinuities in comparison with the traditional Perona–Malik (PM) algorithm and is robust in the presence of excessive noise with SNR less than unity. & 2011 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Signal Processing

دوره 91  شماره 

صفحات  -

تاریخ انتشار 2011