Aperture Filters Implementation For Noise Removal

Aperture Filters Implementation For Noise Removal

This paper describes implementation for noise removal based on aperture operators. Aperture operators are a subclass of window operators used in automatic filter design. In this implementation, a typical improvement of 30-50% was observed with respect to MSE as compared to well-known median and adap...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Chlapinski, J., Marshall, S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Apertures
Filtering
Gray-scale
Humans
Image processing
Machine learning
Shape
Signal design
Signal resolution
Wiener filter
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Beschreibung
Zusammenfassung:This paper describes implementation for noise removal based on aperture operators. Aperture operators are a subclass of window operators used in automatic filter design. In this implementation, a typical improvement of 30-50% was observed with respect to MSE as compared to well-known median and adaptive Wiener filtering methods
DOI:10.1109/MIXDES.2006.1706661