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Proceedings Paper

Nonlinear image filtering with structural approach
Author(s): Ruikang Yang; Moncef Gabbouj; Yrjo A. Neuvo
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Paper Abstract

In this paper, we develop a theory to design weighted order statistic filters with structural approach and discuss their applications in image filtering. By introducing a set of parameters, called Mis, the statistical properties of weighted order statistic filters are analyzed. A theorem is presented to show that any symmetric weighted order statistic filter will drive the input to a root or oscillate in a cycle of period 2. This result was proven to hold only for some weighted order statistic filters. A condition is provided to guarantee the convergence of weighted order statistic filters.

Paper Details

Date Published: 23 March 1994
PDF: 12 pages
Proc. SPIE 2182, Image and Video Processing II, (23 March 1994); doi: 10.1117/12.171092
Show Author Affiliations
Ruikang Yang, Nokia Research Ctr. (Finland)
Moncef Gabbouj, Tampere Univ. of Technology (Finland)
Yrjo A. Neuvo, Nokia Corp. (Finland)


Published in SPIE Proceedings Vol. 2182:
Image and Video Processing II
Sarah A. Rajala; Robert L. Stevenson, Editor(s)

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