Application of the ICI principle to window size adaptive median filtering

Authors:
Vladimir Katkovnik;Karen Egiazarian;Jaakko Astola
Affiliations:
Signal Processing Laboratory, Int. Center for Signal Processing, University of Technology of Tampere, P.O. Box 553, Tampere, Finland;Signal Processing Laboratory, Int. Center for Signal Processing, University of Technology of Tampere, P.O. Box 553, Tampere, Finland;Signal Processing Laboratory, Int. Center for Signal Processing, University of Technology of Tampere, P.O. Box 553, Tampere, Finland
Venue:
Signal Processing
Year:
2003

Citing 2
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Abstract

We describe a novel approach to solve a problem of varying window size selection for median filtering a noisy signal. The approach is based on the intersection of confidence interval rule. This rule gives the adaptive varying window size and enables the algorithm to be spatially adaptive in such a way that its quality is close to that which one could achieve if the smoothness of the estimated signal is known in advance. A multiwindow estimate combining left and right windowed median estimates is developed.