Workshops
- SFB 755 Autumn School on Nanoscale Photonic Imaging (Talk)
October 27 - 28, 2016 in Göttingen - Approximation Methods and Data Analysis (Talk)
September 5 - 9, 2016 in Hasenwinkel - Joint Annual Meeting of GAMM and DMV 2016 (Talk)
March 7 - 11, 2016 in Braunschweig - International Symposium 2016 on Biological Dynamics from Microscopic to Mesoscopic Scales (Poster)
February 22 - 25, 2016 in Grimma - Mecklenburg Workshop: Approximation Methods and Function Spaces (Talk)
March 16 - 20, 2015 in Schloss Hasenwinkel, Germany - SFB 755 Winter School 2015, Nanoscale Photonic Imaging (Talk, Poster)
January 15 - 16, 2015 in Teistungen, Germany - Mathematical Signal Processing and Phase Retrieval (Poster)
September 01 - 03, 2014 in Göttingen - 24. Rhein-Ruhr-Workshop (Poster)
January 31 - February 01, 2014 in Bestwig - Advances in Mathematical Image Processing (AIP) (Talk)
September 30 - October 2, 2013 in Annweiler - Autumn School of CRC 755 and CRC 937 (Talk, Poster)
September 01 - 05, 2013 in Wildbad Kreuth - 1st International Symposium on Nanoscale Photonic Imaging (Poster)
April 4 - 5, 2013 in Göttingen
Publications
- Iterative Phase Retrieval with Sparsity Constraints
Stefan Loock, Gerlind Plonka
PAMM 16(1), 835-836, 2016 (DOI: 10.1002/pamm.201610406) - Phase Retrieval with Sparsity Constraints
Stefan Loock
Dissertation, 2016 (published online on 29 June 2016) - Using sparsity information for iterative phase retrieval in x-ray propagation imaging
Anne Pein, Stefan Loock, Gerlind Plonka, Tim Salditt
Opt. Express 24(8), 8332-8343., 2016 (open access) - Phase retrieval for Fresnel measurements using a shearlet sparsity constraint
Stefan Loock, Gerlind Plonka
Inverse Problems 30 (2014) 055005, 2014 (preprint as download)
Software
- pyShearLab - A Python 2D Shearlet Toolbox
A Python toolbox for the two-dimensional discrete shearlet transform based on ShearLab3D.
Stefan Loock - PRwSC - A Toolbox for Phase Retrieval with Sparsity Constraints
A toolbox for Matlab and Python (pyPRwSC) for the reconstruction of images from phase retrieval data using sparsity constraints.
Stefan Loock