arXiv:2603.06673v2 Announce Type: replace-cross Abstract: Spectroscopic imaging (SI) has become central to heritage science because it enables non-invasive, spatially resolved characterisation of materials in artefacts. In particular, attenuated total reflection Fourier transform infrared microscopy (ATR-$\mu$FTIR) is widely used to analyse painting cross-sections, where a spectrum is recorded at each pixel to form a hyperspectral image (HSI). Interpreting these data is difficult: spectra are often mixtures of several species in heterogeneous, multi-layered and degraded samples, and current pr
The increasing sophistication of AI and analytical techniques allows for detailed spectroscopic image analysis, enabling new applications in cultural heritage.
This development represents a novel application of AI in heritage science, potentially enhancing the preservation and understanding of historical artifacts through non-invasive analysis.
The ability to unmix spectroscopic images of complex materials improves the accuracy of material identification and characterization in delicate historical objects.
- · Cultural Heritage Institutions
- · Art Conservators
- · Spectroscopy Equipment Manufacturers
Improved material analysis strengthens art conservation practices and historical understanding.
The application of AI to other complex material analysis challenges in fields beyond heritage science could accelerate.
This could lead to new avenues for fraud detection and authentication in the art market via enhanced material forensics.
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