This repository hosts codes that are based on the spyrit package, which includes
- Research contributions
- Educational materials
- Master's student projects
Here are some of research contributions based on the SPYRIT toolbox. All of them address computational optics image reconstruction problems, with a focus on single-pixel acquisition.
- A completion network for experimental data (Optics Express 2021)
Antonio Lorente Mur, Pierre Leclerc, Françoise Peyrin, Nicolas Ducros. Single-Pixel Image Reconstruction from Experimental Data Using Neural Networks. DOI. PDF.
- A completion network for simulated data (ISBI 2020)
Nicolas Ducros, A Lorente Mur, F. Peyrin. A Completion Network for Reconstruction from Compressed Acquisition. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Apr 2020, Iowa City, United States, pp.619-623. DOI. PDF.
Materials used during Master Classes or Seasonal Schools, with emphasis on image reconstruction.
- Notebook on CT image reconstruction (DLMIS 21)
N Ducros, T Leuliet, A Lorente Mur, L Friot--Giroux. Hands-on session 3.1: image reconstruction using the PyTorch and Spyrit packages. Deep Learning for Medical Imaging School 2021.
Some projects of last year MSc students, INSA-Lyon, Electrical Engineering Department. (Not always fully functional.)
Jules Dartois, Valentin Bérisset
Marc Chanet, Juliette Coumert