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2018 | OriginalPaper | Buchkapitel

4. A New Denoising Methodology to Keep the Spatial Resolution of IR Images Equal to 1 Pixel

verfasst von : Guillaume Corvec, Eric Robin, Jean-Benoît Le Cam, Jean-Christophe Sangleboeuf, Pierre Lucas

Erschienen in: Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 8

Verlag: Springer International Publishing

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Abstract

This paper proposes a noise suppression methodology to improve the spatio-temporal resolution of infrared images. The methodology is divided in two steps. The first one consists in removing the noise from the temporal signal at each pixel. In the second step, the residual offset is identified by considering thermal images for which no mechanical loading is applied. In this case, the temperature variation field is homogeneous and the value of temperature variation at each pixel is theoretically equal to zero. The method is first tested on numerical images. The results demonstrate that this approach permits to keep the spatial resolution of infrared images equal to 1 pixel. The methodology is then applied to characterize thermal activity of a defect at the surface of inorganic glass submitted to cyclic mechanical loading.

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Metadaten
Titel
A New Denoising Methodology to Keep the Spatial Resolution of IR Images Equal to 1 Pixel
verfasst von
Guillaume Corvec
Eric Robin
Jean-Benoît Le Cam
Jean-Christophe Sangleboeuf
Pierre Lucas
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-62899-8_4

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