Image Processing Perspectives of X-Ray Fluorescence Data in Cultural Heritage Sciences. Chopp, H., McGeachy, A., Alfeld, M., Cossairt, O., Walton, M., & Katsaggelos, A. IEEE BITS the Information Theory Magazine, 2(1):1–12, IEEE, 2022. ![Image Processing Perspectives of X-Ray Fluorescence Data in Cultural Heritage Sciences [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex X-ray fluorescence (XRF) analysis of art objects has rapidly gained popularity since the late 2000s due to its increased accessibility to scientists. This introduced an imaging component whereby the XRF image volume provides clues as to which chemical elements are present and where they are located spatially in the object. However, as is the nature of collecting measurements, there are limitations preventing perfect acquisition; e.g, spatial resolution, signal-to-noise ratio, etc. The field of image processing, in part, aims to overcome these limitations. Image processing applications in XRF imaging are only just starting to arise due to the increased interest and availability in XRF analysis. In this article, we aim to reach readers in XRF imaging or image processing in an effort to call for further research in the field. We review the basics of XRF imaging and analysis that is tailored for those unfamiliar with this imaging modality. We then delve into various publications of image processing methods as applied to XRF data. Throughout this article, we examine (and opine on) the XRF field through a lens of the image processing field.
@article{chopp2022image,
abstract = {X-ray fluorescence (XRF) analysis of art objects has rapidly gained popularity since the late 2000s due to its increased accessibility to scientists. This introduced an imaging component whereby the XRF image volume provides clues as to which chemical elements are present and where they are located spatially in the object. However, as is the nature of collecting measurements, there are limitations preventing perfect acquisition; e.g, spatial resolution, signal-to-noise ratio, etc. The field of image processing, in part, aims to overcome these limitations. Image processing applications in XRF imaging are only just starting to arise due to the increased interest and availability in XRF analysis. In this article, we aim to reach readers in XRF imaging or image processing in an effort to call for further research in the field. We review the basics of XRF imaging and analysis that is tailored for those unfamiliar with this imaging modality. We then delve into various publications of image processing methods as applied to XRF data. Throughout this article, we examine (and opine on) the XRF field through a lens of the image processing field.},
author = {Chopp, Henry and McGeachy, Alicia and Alfeld, Matthias and Cossairt, Oliver and Walton, Marc and Katsaggelos, Aggelos},
doi = {10.1109/MBITS.2022.3197100},
issn = {2692-4110},
journal = {IEEE BITS the Information Theory Magazine},
number = {1},
pages = {1--12},
publisher = {IEEE},
title = {{Image Processing Perspectives of X-Ray Fluorescence Data in Cultural Heritage Sciences}},
url = {https://ieeexplore.ieee.org/document/9851850/},
volume = {2},
year = {2022}
}
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