Advanced Algorithm Improves Art Restoration Techniques

In a paper recently published in the SIAM Journal on Imaging Sciences, Rujie Yin, Bruno Cornelis, Gabor Fodor, Noelle Ocon, David Dunson, and Ingrid Daubechies present an algorithm that eliminates the visual discrepancies of cradling in X-rays. The algorithm—and its accompanying multiplicative model—can distinguish, isolate, and remove superfluous textures caused by cradling while leaving the painting’s original textures intact.