150 citations · 423 across the 23 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…
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning
Martin Genzel, Ingo Gühring, Jan Macdonald +1
This work is concerned with the following fundamental question in scientific machine learning: Can deep-learning-based methods solve noise-free inverse problems to near-perfect acc…
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery
Jonathan Sauder, Martin Genzel, Peter Jung
Countless signal processing applications include the reconstruction of signals from few indirect linear measurements. The design of effective measurement operators is typically con…