Professor Daubechies is one of the world's leading specialists in wavelet theory - a theory which forms the basis of much of modern data analysis. She developed the Daubechies wavelet, which is one of the most used types of wavelets, and her work is one of the main parts of the JPEG 2000 compression algorithm. She was the first woman to become a full professor of mathematics at Princeton and the first woman to serve as the President of the International Mathematical Union.

Mathematics can help Art Historians and Art Conservators in studying and understanding art works, their manufacture process and their state of conservation. The presentation will review several instances of such collaborations in the last decade or so. Some of them led (and are still leading) to interesting new challenges in signal and image analysis. In other applications we can virtually rejuvenate art works, bringing a different understanding and experience of the art to museum visitors as well as to experts.

No prerequisites are required.

Check out the Image Processing for Art Investigation of Duke University: https://dukeipai.org/

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