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Multi-step Approach for Characterization of Artworks Based on Hyperspectral Imaging and Complementary Techniques

This paper presents an optimized approach for the characterization of complex painting layers and for the evaluation of previous interventions on artworks. Focusing on the capabilities of hyperspectral imaging, which combines spectral and imaging data, this specific approach reflects also the importance of complementary methods and techniques, which have the ability to complete and to validate the results. Following the unique character of the artworks, our goal is to emphasize the importance of data association for the characterization of complex structures such as pictorial layers. The case study for our application was represented by an artwork attributed to ªtefan Luchian, one of the most representative Romanian modern artist from the beginning of the 20th century. By combining hyperspectral data with multispectral analysis, high resolution digital X-ray and XRF we were able to develop a multi-step approach that can accurately document the key aspects regarding the state of conservation, the execution technique, and also the features related to previous interventions. Moreover, by correlating the aspects highlighted earlier we were able to use the resulted data for the artwork authentication.