Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects

Gilboa G., Moeller M., Burger M.

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

We present in this paper the motivation and theory of nonlinear spectral representations, based on convex regularizing functionals. Some comparisons and analogies are drawn to the fields of signal processing, harmonic analysis, and sparse representations. The basic approach, main results, and initial applications are shown. A discussion of open problems and future directions concludes this work.

Details zur Publikation

FachzeitschriftJournal of Mathematical Imaging and Vision (J Math Imaging Vis)
Jahrgang / Bandnr. / Volume56
Ausgabe / Heftnr. / Issue2
Seitenbereich300-319
StatusVeröffentlicht
Veröffentlichungsjahr2016
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1007/s10851-016-0665-5
Link zum Volltexthttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84976287014&origin=inward
StichwörterImage decomposition; Nonlinear eigenvalue problem; Nonlinear spectral representations; One-homogeneous functionals; Total variation

Autor*innen der Universität Münster

Burger, Martin
Professur für Angewandte Mathematik, insbesondere Numerik (Prof. Burger)