Carola Schönlieb

Mathematical Approaches to Image Processing with Carola Schönlieb

Carola Schönlieb, Craig Cannon

A researcher specializing in inverse imaging problems and partial differential equations is advancing techniques to reconstruct high-resolution medical, environmental, and historical data from severely limited measurements. By developing bi-level optimization strategies that integrate machine learning with interpretable, handcrafted mathematical models, this work addresses critical challenges in noise reduction and adversarial robustness for applications ranging from dynamic MRI imaging to the virtual restoration of illuminated manuscripts. The research successfully bridges theoretical stability guarantees with practical data-driven performance, enabling safer radiation exposure in CT scans and accurate 3D modeling of forest structures from airborne sensor data.