150 citations · 480 across the 12 of their papers we have counts for
3 papers · 1 filter
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text Images
Theophil Trippe, Martin Genzel, Jan Macdonald +1
This work presents a novel deep-learning-based pipeline for the inverse problem of image deblurring, leveraging augmentation and pre-training with synthetic data. Our results build…
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography
T. A. Bubba, G. Kutyniok, M. Lassas +4
The high complexity of various inverse problems poses a significant challenge to model-based reconstruction schemes, which in such situations often reach their limits. At the same…
Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting
Jackie Ma, Maximilian März, Stephanie Funk +4
High-resolution three-dimensional (3D) cardiovascular magnetic resonance (CMR) is a valuable medical imaging technique, but its widespread application in clinical practice is hampe…