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Authors: Agnès Delahaies 1 ; David Rousseau 1 ; Laetitia Perez 2 ; Laurent Autrique 1 and François Chapeau-Blondeau 1

Affiliations: 1 Université d’Angers, France ; 2 Laboratoire de Thermocinétique de Nantes, France

ISBN: 978-989-674-027-6

Keyword(s): Image compression, Thermal imaging, Parameter estimation, Material characterization.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Physics Imaging (Radar Imaging, Photoelectronics, Molecular Imaging)

Abstract: Periodic thermal imaging is a method of active thermography based on a periodic thermal stimulation of an inspected sample material and the analysis of its thermal response when a steady regime is reached. The original data, a sequence of images sampling the thermal response on a large number of periods, are usually stored in a raw format. For accurate exploitation of these measurements, the whole sequence of images requires a significant amount of storage space. In this report, we address the question of the lossy compression of these sequences of images when they are applied to perform physical parameter estimation. The study investigates the impact of lossy image compression on the performance of the physical parameter estimation procedure, and shows the possibility of preserving robust estimation with high compression rate. Perspectives and applications are then discussed. Performing good enough estimate of physical parameters with compressed images would permit the use of portabl e thermal cameras with limited resources in terms of data storage. This would enable the use of periodic active thermal imaging to perform relatively low cost embedded characterization of thermal properties of materials. (More)

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Paper citation in several formats:
Delahaies A.; Rousseau D.; Perez L.; Autrique L.; Chapeau-Blondeau F. and (2010). IMPACT OF A LOSSY IMAGE COMPRESSION ON PARAMETER ESTIMATION WITH PERIODIC ACTIVE THERMAL IMAGING.In Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2010) ISBN 978-989-674-027-6, pages 17-22. DOI: 10.5220/0002816500170022

@conference{imagapp10,
author={Agnès Delahaies and David Rousseau and Laetitia Perez and Laurent Autrique and Fran\c{C}ois Chapeau{-}Blondeau},
title={IMPACT OF A LOSSY IMAGE COMPRESSION ON PARAMETER ESTIMATION WITH PERIODIC ACTIVE THERMAL IMAGING},
booktitle={Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2010)},
year={2010},
pages={17-22},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002816500170022},
isbn={978-989-674-027-6},
}

TY - CONF

JO - Proceedings of the International Conference on Imaging Theory and Applications and International Conference on Information Visualization Theory and Applications - Volume 1: IMAGAPP, (VISIGRAPP 2010)
TI - IMPACT OF A LOSSY IMAGE COMPRESSION ON PARAMETER ESTIMATION WITH PERIODIC ACTIVE THERMAL IMAGING
SN - 978-989-674-027-6
AU - Delahaies, A.
AU - Rousseau, D.
AU - Perez, L.
AU - Autrique, L.
AU - Chapeau-Blondeau, F.
PY - 2010
SP - 17
EP - 22
DO - 10.5220/0002816500170022

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