Thermal imager non-uniformity sources modeling

Guadagnoli, Emanuele; Giunti, C.; Mariani, Paolo; Olivieri, Monica; Porta, Antonio La; Sozzi, B.; Zatti, S.

doi:10.1117/12.883389

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…It should be noted that if the temporal filter used is more efficient and leads to very low oscillation amplitudes, the background shifting is the equivalent of removing fixed-pattern noise (FPN) [16]. The difference lies in the fact that classically FPN has a spatial structure [17][18][19][20][21][22][23], which is not the case here.…”

Section: Denoising Of Numerical Noised Images With the Proposed Methodsmentioning

confidence: 89%

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

Corvec¹,

Robin²,

Cam³

et al. 2017

Residual Stress, Thermomechanics &Amp; Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 8

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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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Section: Denoising Of Numerical Noised Images With the Proposed Methodsmentioning

confidence: 89%

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

Corvec¹,

Robin²,

Cam³

et al. 2017

Residual Stress, Thermomechanics &Amp; Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 8

View full text Add to dashboard Cite

show abstract

Empirical frequency domain model for fixed-pattern noise in infrared focal plane arrays

Pérez

Pezoa

Figueroa

et al. 2014

Infrared Physics & Technology

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Improving spatio-temporal resolution of infrared images to detect thermal activity of defect at the surface of inorganic glass

Corvec

Robin

Cam

et al. 2016

Infrared Physics & Technology

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International audienceThis 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. Three basic temporal filters are considered for this purpose: average filter, cost function minimization (FIT) and short time Fast Fourier Transform approach (STFFT). But while this step effectively reduces the temporal signal noise at each pixel, the infrared images may still appear noisy. This is due to a random distribution of a residual offset value of pixels signal. Hence 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 synthetic images built from infrared computer-generated images combined with experimental noise. 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. The three basic temporal filters are quantitatively compared and contrasted. Results obtained demonstrate that, contrarily to a basic spatio-temporal approach, the denoising method proposed is suitable to characterize low thermal activity combined to strong spatial gradients induced by cyclic heterogeneous deformations. © 2016 Elsevier B.V. All rights reserved

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Thermal imager non-uniformity sources modeling

Cited by 5 publications

References 6 publications

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

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

Empirical frequency domain model for fixed-pattern noise in infrared focal plane arrays

Improving spatio-temporal resolution of infrared images to detect thermal activity of defect at the surface of inorganic glass

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