Why the Perona-Malik filter works:

Abstract: "Although the widely-used Perona-Malik filter is regarded as ill-posed, straightforward implementations are often surprisingly stable. We give an explanation for this effect by applying a discrete nonlinear scale-space framework: a spatial discretization on a fixed pixel grid gives a...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Weickert, Joachim 1965- (VerfasserIn), Benhamouda, Brahim (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: København 1997
Schriftenreihe:Datalogisk Institut <København>: DIKU-Rapport 1997,22
Schlagworte:
Zusammenfassung:Abstract: "Although the widely-used Perona-Malik filter is regarded as ill-posed, straightforward implementations are often surprisingly stable. We give an explanation for this effect by applying a discrete nonlinear scale-space framework: a spatial discretization on a fixed pixel grid gives a well-posed scale-space with many image-simplifying properties, and an explicit time discretization leads to a scheme which does not introduce additional oscillations. This explains why staircasing is essentially the only practically appearing instability."
Beschreibung:9 S.