AI and x-rays help reveal artistic mysteries

The 15^th-century Ghent Altarpiece is a multi-panel artwork painted by Dutch brothers Hubert and Jan van Eyck in St Bavo's Cathedral in Ghent, Belgium. Researchers from the National Gallery, Duke University and UCL developed an algorithm to study mixed x-ray images containing features from the front and back of the painting's double-sided panels, which scientists have deconstructed into two clear images.

https://www.theengineer.co.uk/ai-medical-diagnostics/

X-ray images are a valuable tool for examining and restoring paintings as they can help to establish a piece's condition and provide insights into an artist's technique. However, the penetrating nature of x-rays means that everything in its path will contribute to the resulting image, often making the results difficult to interpret. This is particularly true for panels painted on both sides, or where an artist has re-used a canvas.

By separating the complex x-ray images, the new algorithm enables art historians and heritage scientists to better understand Old Master paintings, and the information revealed can help experts when protecting and restoring delicate pieces.