Joint Super-Resolution and Rectification for Solar Cell Inspection

no code implementations • 10 Nov 2020 • Mathis Hoffmann, Thomas Köhler, Bernd Doll, Frank Schebesch, Florian Talkenberg, Ian Marius Peters, Christoph J. Brabec, Andreas Maier, Vincent Christlein

Visual inspection of solar modules is an important monitoring facility in photovoltaic power plants.

Crack Segmentation Motion Estimation +1

Learning with Known Operators reduces Maximum Training Error Bounds

no code implementations • 3 Jul 2019 • Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke Christiansen

We assume that our analysis will support further investigation of known operators in other fields of physics, imaging, and signal processing.

Image Reconstruction

Precision Learning: Towards Use of Known Operators in Neural Networks

no code implementations • 1 Dec 2017 • Andreas Maier, Frank Schebesch, Christopher Syben, Tobias Würfl, Stefan Steidl, Jang-Hwan Choi, Rebecca Fahrig

We demonstrate that use of known transforms is able to change maximal error bounds.

SSIM

UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model

no code implementations • 11 Sep 2017 • Mario Amrehn, Sven Gaube, Mathias Unberath, Frank Schebesch, Tim Horz, Maddalena Strumia, Stefan Steidl, Markus Kowarschik, Andreas Maier

Our system builds upon a state-of-the-art fully convolutional artificial neural network (FCN) as well as an active user model for training.

Image Segmentation Segmentation +1