Neural networks for hyperspectral imaging of historical paintings: a practical review

L Liu, T Miteva, G Delnevo, S Mirri, P Walter… - Sensors, 2023 - mdpi.com
Hyperspectral imaging (HSI) has become widely used in cultural heritage (CH). This very
efficient method for artwork analysis is connected with the generation of large amounts of …

Medical imaging applied to heritage

AP Gibson - The British Journal of Radiology, 2023 - academic.oup.com
The use of imaging has transformed the study of cultural heritage artefacts in the same way
that medical imaging has transformed medicine. X-ray-based techniques are common in …

An alternative approach to mapping pigments in paintings with hyperspectral reflectance image cubes using artificial intelligence

T Kleynhans, CM Schmidt Patterson, KA Dooley… - Heritage Science, 2020 - Springer
Spectral imaging modalities, including reflectance and X-ray fluorescence, play an important
role in conservation science. In reflectance hyperspectral imaging, the data are classified …

[PDF][PDF] Compression ensembles quantify aesthetic complexity and the evolution of visual art

A Karjus, M Canet Solà, T Ohm, SE Ahnert, M Schich - EPJ Data Science, 2023 - Springer
To the human eye, different images appear more or less complex, but capturing this intuition
in a single aesthetic measure is considered hard. Here, we propose a computationally …

[HTML][HTML] Integrating expert feedback on the spot in a time-efficient explorative CT scanning workflow for cultural heritage objects

FG Bossema, SB Coban, A Kostenko… - Journal of Cultural …, 2021 - Elsevier
Computed Tomography (CT) has proven itself as a powerful technique for analysing the
internal structure of cultural heritage objects. The process followed by conservators and …

Hyperspectral imaging for chemicals identification: a human-inspired machine learning approach

S Kendler, Z Mano, R Aharoni, R Raich, B Fishbain - Scientific Reports, 2022 - nature.com
Data analysis has increasingly relied on machine learning in recent years. Since machines
implement mathematical algorithms without knowing the physical nature of the problem, they …

[HTML][HTML] Towards automatic classification of diffuse reflectance image cubes from paintings collected with hyperspectral cameras

T Kleynhans, DW Messinger, JK Delaney - Microchemical Journal, 2020 - Elsevier
Abstract Knowledge of pigments and their distribution in paintings can inform conservators
and scholars to better understand, and conserve these objects. In recent years, a variety of …

Deep learning for enhanced spectral analysis of MA-XRF datasets of paintings

Z Preisler, R Andolina, A Busacca, C Caliri… - Science …, 2024 - science.org
Recent advancements of noninvasive imaging techniques applied for the study and
conservation of paintings have driven a rapid development of cutting-edge computational …

Combined laser-based x-ray fluorescence and particle-induced x-ray emission for versatile multi-element analysis

P Puyuelo-Valdes, S Vallières, M Salvadori… - Scientific Reports, 2021 - nature.com
Particle and radiation sources are widely employed in manifold applications. In the last
decades, the upcoming of versatile, energetic, high-brilliance laser-based sources, as …

A fast automatic method for deconvoluting macro X-ray fluorescence data collected from easel paintings

S Yan, JJ Huang, H Verinaz-Jadan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Macro X-ray Fluorescence (MA-XRF) scanning is increasingly widely used by researchers in
heritage science to analyse easel paintings as one of a suite of non-invasive imaging …