- The separation of two closely spaced defects in fields of Thermographic NDE is very challenging. The diffusive nature of thermal waves leads to a fundamental limitation in spatial resolution. Therefore, super resolution image reconstruction can be used. A new concerted ansatz based on spatially structured heating and joint sparsity of the signal ensemble allows for an improved reconstruction of closely spaced defects. This new technique has been studied using a 1D laser array with randomly chosen illumination pattern.
This paper presents the results after applying super resolution algorithms, such as the iterative joint sparsity (IJOSP) algorithm, to our processed measurement data. Different data processing techniques before applying the IJOSP algorithm as well as the influence of regularization parameters in the data processing techniques are discussed. Moreover, the degradation of super resolution reconstruction goodness by the choice of experimental parameters such as laser lineThe separation of two closely spaced defects in fields of Thermographic NDE is very challenging. The diffusive nature of thermal waves leads to a fundamental limitation in spatial resolution. Therefore, super resolution image reconstruction can be used. A new concerted ansatz based on spatially structured heating and joint sparsity of the signal ensemble allows for an improved reconstruction of closely spaced defects. This new technique has been studied using a 1D laser array with randomly chosen illumination pattern.
This paper presents the results after applying super resolution algorithms, such as the iterative joint sparsity (IJOSP) algorithm, to our processed measurement data. Different data processing techniques before applying the IJOSP algorithm as well as the influence of regularization parameters in the data processing techniques are discussed. Moreover, the degradation of super resolution reconstruction goodness by the choice of experimental parameters such as laser line width or number of measurements is shown.
The application of the super resolution results in a spatial resolution enhancement of approximately a factor of four which leads to a better separation of two closely spaced defects.…
MetadatenAutor*innen: | Samim AhmadiORCiD, Erik Thiel, Christina Karagianni, Philipp Daniel HirschORCiD, P. Burgholzer, G. Mayr, P. Jung, G. Caire, Mathias ZieglerORCiD |
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Dokumenttyp: | Beitrag zu einem Tagungsband |
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Veröffentlichungsform: | Graue Literatur |
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Sprache: | Englisch |
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Titel des übergeordneten Werkes (Englisch): | Review of Progress in Quantitative Nondestructive Evaluation |
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Jahr der Erstveröffentlichung: | 2019 |
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Organisationseinheit der BAM: | 8 Zerstörungsfreie Prüfung |
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| 8 Zerstörungsfreie Prüfung / 8.0 Abteilungsleitung und andere |
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Verlag: | ASME |
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Erste Seite: | Paper 8593, 1 |
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DDC-Klassifikation: | Naturwissenschaften und Mathematik / Chemie / Analytische Chemie |
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Freie Schlagwörter: | Laser; Photothermal; Super resolution; Thermography |
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Themenfelder/Aktivitätsfelder der BAM: | Chemie und Prozesstechnik |
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Veranstaltung: | Quantitative Nondestructive Evaluation Conference 2019 |
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Veranstaltungsort: | Portland, OR, USA |
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Beginndatum der Veranstaltung: | 14.07.2019 |
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Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
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Datum der Freischaltung: | 22.06.2020 |
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Referierte Publikation: | Nein |
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