11 citations · 25 across the 7 of their papers we have counts for
9 papers
Joint Super-Resolution and Rectification for Solar Cell Inspection
Mathis Hoffmann, Thomas Köhler, Bernd Doll +6
Visual inspection of solar modules is an important monitoring facility in photovoltaic power plants. Since a single measurement of fast CMOS sensors is limited in spatial resolutio…
Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing
Prashant Chaudhari, Franziska Schirrmacher, Andreas Maier +2
High dynamic range (HDR) imaging combines multiple images with different exposure times into a single high-quality image. The image signal processing pipeline (ISP) is a core compo…
Multi-Frame Super-Resolution Reconstruction with Applications to Medical Imaging
Thomas Köhler
The optical resolution of a digital camera is one of its most crucial parameters with broad relevance for consumer electronics, surveillance systems, remote sensing, or medical ima…
Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data
Thomas Köhler, Michel Bätz, Farzad Naderi +3
Capturing ground truth data to benchmark super-resolution (SR) is challenging. Therefore, current quantitative studies are mainly evaluated on simulated data artificially sampled f…
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems
Franziska Schirrmacher, Thomas Köhler, Christian Riess
Inverse problems play a central role for many classical computer vision and image processing tasks. Many inverse problems are ill-posed, and hence require a prior to regularize the…
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests
Aline Sindel, Katharina Breininger, Johannes Käßer +3
Magnetic resonance imaging (MRI) enables 3-D imaging of anatomical structures. However, the acquisition of MR volumes with high spatial resolution leads to long scan times. To this…
Temporal and volumetric denoising via quantile sparse image prior
Franziska Schirrmacher, Thomas Köhler, Tobias Lindenberger +7
This paper introduces an universal and structure-preserving regularization term, called quantile sparse image (QuaSI) prior. The prior is suitable for denoising images from various…
Benchmarking Super-Resolution Algorithms on Real Data
Thomas Köhler, Michel Bätz, Farzad Naderi +3
Over the past decades, various super-resolution (SR) techniques have been developed to enhance the spatial resolution of digital images. Despite the great number of methodical cont…
QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data
Franziska Schirrmacher, Thomas Köhler, Lennart Husvogt +3
Optical coherence tomography (OCT) enables high-resolution and non-invasive 3D imaging of the human retina but is inherently impaired by speckle noise. This paper introduces a spat…