Further properties and a fast realization of the iterative truncated arithmetic mean filter
Date of Issue2012
School of Electrical and Electronic Engineering
The iterative truncated arithmetic mean (ITM) filter has been recently proposed. It possesses merits of both the mean and median filters. In this brief, the Cramer-Rao lower bound is employed to further analyze the ITM filter. It shows that this filter outperforms the median filter in attenuating not only the short-tailed Gaussian noise but also the long-tailed Laplacian noise. A fast realization of the ITM filter is proposed. Its computational complexity is studied. Experimental results demonstrate that the proposed algorithm is faster than the standard median filter.
DRNTU::Engineering::Electrical and electronic engineering
IEEE transactions on circuits and systems II : express briefs
© 2012 IEEE.