Orientation-Independent Empirical Mode Decomposition for Images Based on Unconstrained Optimization

This paper introduces a 2D extension of the empirical mode decomposition (EMD), through a novel approach based on unconstrained optimization. EMD is a fully data-driven method that locally separates, in a completely data-driven and unsupervised manner, signals into fast and slow oscillations. The pr...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 5 vom: 01. Mai, Seite 2288-97
1. Verfasser:	Colominas, Marcelo A (VerfasserIn)
Weitere Verfasser:	Humeau-Heurtier, Anne, Schlotthauer, Gastón
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2016
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't