We present the open-source image processing software package PySAP (Python Sparse data Analysis Package) developed for the COmpressed Sensing for Magnetic resonance Imaging and Cosmology (COSMIC) project. This package provides a set of flexible tools that can be applied to a variety of compressed sensing and image reconstruction problems in various research domains. In particular, PySAP offers fast wavelet transforms and a range of integrated optimisation algorithms. In this paper we present the features available in PySAP and provide practical demonstrations on astrophysical and magnetic resonance imaging data.
@article{arxiv.1910.08465,
title = {PySAP: Python Sparse Data Analysis Package for Multidisciplinary Image Processing},
author = {S. Farrens and A. Grigis and L. El Gueddari and Z. Ramzi and Chaithya G. R. and S. Starck and B. Sarthou and H. Cherkaoui and P. Ciuciu and J. -L. Starck},
journal= {arXiv preprint arXiv:1910.08465},
year = {2020}
}