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Proceedings Paper

Realization of an alpha-trimmed mean filter on the threshold decomposition architecture
Author(s): Chee-Hung Henry Chu; Daryoush H. Razi
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Paper Abstract

The realization of the (alpha) -trimmed mean filter on the threshold decomposition architecture is described in this paper. In the threshold decomposition architecture, an input sequence is thresholded at different levels to form a number of binary sequences. A decision is made at each level to determine whether the signal should be above the associated threshold level. The results at all levels are then combined to form the filter output. The decision rule used is the distinguishing feature of an individual filter; the current implementation of the (alpha) -trimmed mean filter is based on using a threshold logic function as the decision rule, thus allowing the decision rule to output multiple values. The statistical properties of the (alpha) -trimmed mean filter are analyzed based on this realization.

Paper Details

Date Published: 1 May 1994
PDF: 10 pages
Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); doi: 10.1117/12.172578
Show Author Affiliations
Chee-Hung Henry Chu, Univ. of Southwestern Louisiana (United States)
Daryoush H. Razi, Univ. of Southwestern Louisiana (United States)

Published in SPIE Proceedings Vol. 2180:
Nonlinear Image Processing V
Edward R. Dougherty; Jaakko Astola; Harold G. Longbotham, Editor(s)

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