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A new denoising methodology to keep the spatial resolution of IR images equal to 1 pixel

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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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01695487
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G. Corvec, Eric Robin, Jean-Benoit Le Cam, Jean-Christophe Sangleboeuf, P. Lucas. A new denoising methodology to keep the spatial resolution of IR images equal to 1 pixel. Annual Conference and Exposition on Experimental and Applied Mechanics, 2017, Jun 2017, Indianapolis, United States. pp.21-27, ⟨10.1007/978-3-319-62899-8_4⟩. ⟨hal-01695487⟩

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