Distinguished Lecture Series 2018: Ingrid Daubechies11 Jan 2018, by Sponsored events in
11 – 13 April 2018
Organised in collaboration with the School of Mathematics, University of Bristol
Ingrid Daubechies is recognised for her study of the mathematical methods that enhance image-compression technology. She is a member of the National Academy of Engineering, the National Academy of Sciences and the American Academy of Arts and Sciences. She is a 1992 MacArthur Fellow. She also served on the Mathematical Sciences jury for the Infosys Prize from 2011 to 2013.
Her research involves the use of automatic methods from both mathematics, technology, and biology to extract information from samples such as bones and teeth. She also developed sophisticated image processing techniques used to help establish the authenticity and age of some of the world’s most famous works of art, including paintings by Vincent van Gogh and Rembrandt.
Ingrid Daubechies, Duke University, USA
Lecture 1 (Colloquium style)
Wavelets, with Image Processing Applications for Art History
Wavelets are the building blocks for mathematical tool that emerged in the 1980s as an interesting way to decompose, understand and compute with signals, data and operators. The talk will review the basics of wavelets and their mathematical properties; in a second part, we will visit some recent applications of wavelets and image processing to help understand art works, their manufacture process and their state of conservation.
Adaptive Time-frequency Localisation
Biologically Relevant Distances Between Surfaces