PySAP: Python Sparse Data Analysis Package for multidisciplinary image processing
#Compressed Sensing
#Open-Source Software
#MRI
#compressed sensing
#image reconstruction
#fast wavelet transform
Abstract
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.
Details
- Type of work: Journal article
- Venue: Astronomy and Computing
- Published: 25 June 2020
- DOI: 10.1016/j.ascom.2020.100402
- Authors: S. Farrens, Antoine Grigis, Loubna El Gueddari, Zaccharie Ramzi, Chaithya Giliyar Radhakrishna, Sophie Starck, B. Sarthou, Hamza Cherkaoui, Philippe Ciuciu, and Jean‐Luc Starck
- Cited by: 30 times (OpenAlex)
- Data sources: OpenAlex