Treffer: PySAP: Python Sparse Data Analysis Package for Multidisciplinary Image Processing

Title:
PySAP: Python Sparse Data Analysis Package for Multidisciplinary Image Processing
Authors:
Farrens, S., Grigis, A., Gueddari, L. El, Ramzi, Z., R., Chaithya G., Starck, S., Sarthou, B., Cherkaoui, H., Ciuciu, P., Starck, J. -L.
Publisher Information:
2019-10-18 2020-07-02
Document Type:
E-Ressource Electronic Resource
Index Terms:
Astrophysics - Instrumentation and Methods for Astrophysics, text
DOI:
10.1016.j.ascom.2020.100402
URL:
http://arxiv.org/abs/1910.08465
Availability:
Open access content. Open access content
Other Numbers:
COO oai:arXiv.org:1910.08465
Astronomy and Computing, Volume 32, July 2020, 100402
doi:10.1016/j.ascom.2020.100402
1176391341
Contributing Source:
CORNELL UNIV
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1176391341
Database:
OAIster

Weitere Informationen

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.
Comment: https://python-pysap.readthedocs.io