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Super-resolution thermographic imaging using blind structured illumination
Author(s) -
Peter Burgholzer,
Thomas Berer,
Jürgen Gruber,
G. Mayr
Publication year - 2017
Publication title -
applied physics letters
Language(s) - English
Resource type - Journals
eISSN - 1077-3118
pISSN - 0003-6951
DOI - 10.1063/1.4995410
Subject(s) - optics , image resolution , speckle pattern , materials science , resolution (logic) , point spread function , pixel , wavelength , physics , computer science , artificial intelligence
Using an infrared camera for thermographic imaging allows the contactless temperature measurement of many surface pixels simultaneously. From the measured surface data, the structure below the surface, embedded inside a sample or tissue, can be reconstructed and imaged, if heated by an excitation light pulse. The main drawback in active thermographic imaging is the degradation of the spatial resolution with the imaging depth, which results in blurred images for deeper lying structures. We circumvent this degradation by using blind structured illumination combined with a non-linear joint sparsity reconstruction algorithm. We demonstrate imaging of a line pattern and a star-shaped structure through a 3 mm thick steel sheet with a resolution four times better than the width of the thermal point-spread-function. The structured illumination is realized by parallel slits cut in an aluminum foil, where the excitation coming from a flashlight can penetrate. This realization of super-resolution thermographic imagi...

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