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Further Properties and a Fast Realization of the Iterative Truncated Arithmetic Mean Filter

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2 Author(s)
Zhenwei Miao ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore ; Xudong Jiang

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.

Published in:

Circuits and Systems II: Express Briefs, IEEE Transactions on  (Volume:59 ,  Issue: 11 )

Date of Publication:

Nov. 2012

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