Detection of internal defects applying photothermal super resolution reconstruction utilizing two-dimensional high-power random pixel patterns
- In this work, we report on our progress for investigating a new experimental approach for thermographic detection of internal defects by performing 2D photothermal super resolution reconstruction. We use modern high-power laser projector technology to repeatedly excite the sample surface photothermally with varying spatially structured 2D pixel patterns. In the subsequent (blind) numerical reconstruction, multiple measurements are combined by exploiting the joint-sparse nature of the defects within the specimen using nonlinear convex optimization methods. As a result, a 2D-sparse defect/inhomogeneity map can be obtained. Using such spatially structured heating combined with compressed sensing and computational imaging methods allows to significantly reduce the experimental complexity and to study larger test surfaces as compared to the one-dimensional approach reported earlier.
Autor*innen: | Julien LecompagnonORCiD |
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Koautor*innen: | Philipp Daniel Hirsch, C. Rupprecht, Mathias Ziegler |
Dokumenttyp: | Vortrag |
Veröffentlichungsform: | Präsentation |
Sprache: | Englisch |
Jahr der Erstveröffentlichung: | 2022 |
Organisationseinheit der BAM: | 8 Zerstörungsfreie Prüfung |
8 Zerstörungsfreie Prüfung / 8.0 Abteilungsleitung und andere | |
DDC-Klassifikation: | Naturwissenschaften und Mathematik / Chemie / Analytische Chemie |
Freie Schlagwörter: | DLP; DMD; Inspection; Internal defects; NDT; Super resolution; Thermography |
Themenfelder/Aktivitätsfelder der BAM: | Chemie und Prozesstechnik |
Veranstaltung: | Quantitative Infrared Thermography 2022 |
Veranstaltungsort: | Paris, France |
Beginndatum der Veranstaltung: | 04.07.2022 |
Enddatum der Veranstaltung: | 08.07.2022 |
Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
Datum der Freischaltung: | 14.07.2022 |
Referierte Publikation: | Nein |
Eingeladener Vortrag: | Nein |