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A Data Processing Chain for Terahertz Imaging and Its Use in Artwork Diagnostics

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Abstract

The effectiveness of terahertz (THz) imaging is dependent not only on the performances of the adopted hardware technology but also on the data processing approaches adopted by the users to elaborate the measured waveforms and obtain from them clear images of the object under test. With respect to data processing, this paper proposes a strategy involving three different steps aimed at reducing noise, filtering out undesired signal introduced by measurement system, and performing surface topography correction. The usefulness of the proposed data processing chain is preliminarily assessed by using data collected on a sample ad hoc prepared in laboratory. Afterward, an ancient mortar specimen, which is decorated by colored stucco, is analyzed by means of the proposed strategy.

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Acknowledgements

The authors would like to thank Prof. Paolo Arcari, who provided us the ancient stucco-decorated mortar specimen.

This research has been performed thanks to I-AMICA (Infrastruttura di Alta tecnologia per il Monitoraggio Climatico Ambientale-Infrastructure of High Technology for Environmental and Climate Monitoring)-PONa3-00363, a project of Structural improvement financed under the National Operational Programme (PON) for “Research and Competitiveness 2007–2013” co-funded with the European Regional Development Fund (ERDF) and National resources.

This paper is supported by the European Union’s Horizon 2020 research and innovation program under grant agreement No 700395, project HERACLES (HEritage Resilience Against CLimate Events on Site).

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Authors and Affiliations

  1. Institute for Electromagnetic Sensing of the Environment – National Research Council of Italy, Via Diocleziano 328, 80124, Naples, Italy

    Ilaria Catapano & Francesco Soldovieri

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  1. Ilaria Catapano
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  2. Francesco Soldovieri
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Correspondence to Ilaria Catapano.

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Catapano, I., Soldovieri, F. A Data Processing Chain for Terahertz Imaging and Its Use in Artwork Diagnostics. J Infrared Milli Terahz Waves 38, 518–530 (2017). https://doi.org/10.1007/s10762-016-0340-3

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  • DOI: https://doi.org/10.1007/s10762-016-0340-3

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