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Beyond the Page: Solar Loading Thermographic Imaging and Predictive Modeling for Ancient Book Diagnostics-Preliminary
Elena Marini1, Gilda Russo1, Hai Zhang2
1Department of Industrial and Information Engineering and Economics, University of L'Aquila, I-67100 L'Aquila, Italy.
Sensors (Basel, Switzerland)
|February 27, 2026
Summary
Non-destructive testing (NDTs) effectively detected sub-surface defects in an ancient book using solar loading thermography (SLT). This confirms NDTs
Area of Science:
- Materials Science
- Cultural Heritage Conservation
- Non-Destructive Testing (NDTs)
Background:
- Ancient books face degradation, necessitating advanced diagnostic tools for conservation.
- Sub-surface defects in cultural heritage objects require non-invasive detection methods.
- Traditional conservation methods may not identify hidden structural issues.
Purpose of the Study:
- To evaluate the efficacy of Non-Destructive Testing (NDTs) for detecting sub-surface defects in ancient books.
- To assess the application of solar loading thermography (SLT) and advanced image processing for cultural heritage diagnostics.
- To compare experimental thermographic results with numerical simulations for enhanced accuracy.
Main Methods:
- Acquisition of thermographic image sequences using solar loading thermography (SLT).
- Application of advanced image processing techniques (MdFIF, PCT, RPCT) for defect analysis.
- Development of a predictive thermal model using COMSOL Multiphysics® for comparison.
Main Results:
- NDTs successfully identified four distinct fabricated sub-surface defects (Wool, Rubber, Teflon®, Synthetic).
- Both image processing and numerical simulation approaches revealed localized thermal anomalies.
- The combined approach demonstrated high capability in detecting artificial defects, including subtle ones.
Conclusions:
- NDTs, particularly SLT combined with advanced image processing and simulation, are suitable for diagnostic conservation of cultural heritage.
- This integrated methodology enhances diagnostic accuracy for identifying sub-surface defects.
- Findings support informed condition assessment and targeted, preventive conservation strategies for delicate artifacts.

