A Data+ team led by Ingrid Daubechies explored the feasibility of building an app that museum visitors could use to virtually restore paintings in museums.
Rejuvenating Art With Data
Aug 8, 2017
Faculty, Scholars, & Staff
James B. Duke Professor of Mathematics and Electrical and Computer Engineering
Computational Humanities, Data+, Social Sciences
Liuyi Zhu (Computer Science, Math), Gilad Amitai (Masters, Statistics), Raphael Kim (Computer Science, Mechanical Engineering), and Andreas Badea (East Chapel Hill High School) spent ten weeks streamlining and automating the process of electronically rejuvenating medieval artwork. They used a 14th-century altarpiece by Francescussio Ghissi as a working example. Project Results: The team built a prototype app which transforms...