PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Anisotropic Diffusion for Noise Removal of Band Pass Signals
Sasan Mahmoodi
Signal Processing Volume 91, Number 5, pp. 1298-1307, 2011.

Abstract

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 at the presence of excessive noise with SNR less than unity

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:7113
Deposited By:Sasan Mahmoodi
Deposited On:04 March 2011