Presentation + Paper
27 May 2022 Thermographic testing using 2D pseudo-random illumination and photothermal super resolution reconstruction
Julien Lecompagnon, Philipp D. Hirsch, Christian Rupprecht, Mathias Ziegler
Author Affiliations +
Abstract
Due to the diffusive nature of heat propagation in solids, the detection and resolution of internal defects with active thermography based non-destructive testing is commonly limited to a defect-depth-to-defect-size ratio greater than or equal to one. In the more recent past, we have already demonstrated that this limitation can be overcome by using a spatially modulated illumination source and photothermal super resolution-based reconstruction. Furthermore, by relying on compressed sensing and computational imaging methods we were able to significantly reduce the experimental complexity to make the method viable for investigating larger regions of interest. In this work we share our progress on improving the defect/inhomogeneity characterization using fully 2D spatially structured illumination patterns instead of scanning with a single laser spot. The experimental approach is based on the repeated blind pseudo-random illumination using modern projector technology and a high-power laser. In the subsequent post-processing, several measurements are then combined by taking advantage of the joint sparsity of the defects within the sample applying 2D-photothermal super resolution reconstruction. Here, enhanced nonlinear convex optimization techniques are utilized for solving the underlying ill-determined inverse problem for typical simple defect geometries. As a result, a higher resolution defect/inhomogeneity map can be obtained at a fraction of the measurement time previously needed.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julien Lecompagnon, Philipp D. Hirsch, Christian Rupprecht, and Mathias Ziegler "Thermographic testing using 2D pseudo-random illumination and photothermal super resolution reconstruction", Proc. SPIE 12109, Thermosense: Thermal Infrared Applications XLIV, 1210903 (27 May 2022); https://doi.org/10.1117/12.2618562
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KEYWORDS
Point spread functions

Super resolution

Projection systems

Digital Light Processing

Reconstruction algorithms

Data acquisition

Digital micromirror devices

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