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Description: |
Images are a rich source of beautiful mathematical formalism and analysis. Associated mathematical problems arise in functional and non-smooth analysis, the theory and numerical analysis of partial differential equations, harmonic, stochastic and statistical analysis, and optimisation. Starting with a discussion on the intrinsic structure of images and their mathematical representation, in this talk we will learn about some of these mathematical problems, about variational models for image analysis and their connection to partial differential equations and deep learning. The talk is furnished with applications to art restoration, forest conservation and cancer research.
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| Start Date: |
2021-02-03 |
| Start Time: |
15:00 |
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Speaker: |
Carola-Bibiane Schönlieb (Univ. Cambridge, UK)
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Institution: |
University of Cambridge
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Place: |
Zoom meeting https://videoconf-colibri.zoom.us/j/85858121499
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Biography: |
Professor Carola-Bibiane Schönlieb is Head of the Cambridge Image Analysis Group (CIA) at DAMTP specialising in the mathematics of digital image and video processing using partial differential equations and variational methods. Her research ranges from the modelling and analysis of such methods to their computational realisation and application. Moreover, she is the Director of the Cantab Capital Institute for the Mathematics of Information, Director of the EPSRC Centre for Mathematical and Statistical Analysis of Multimodal Clinical Imaging, a Fellow of Jesus College of the University of Cambridge and co-leader of the IMAGES network.
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