PySAP: Python Sparse Data Analysis Package for Multidisciplinary Image Processing

TL;DR

PySAP is an open-source Python package that offers flexible tools, including wavelet transforms and optimization algorithms, for compressed sensing and image reconstruction across multiple scientific disciplines.

Contribution

This paper introduces PySAP, a versatile software package that simplifies and accelerates image processing tasks in astrophysics and MRI using advanced sparse data analysis techniques.

Findings

PySAP enables efficient image reconstruction in astrophysics and MRI.

The package provides fast wavelet transforms and optimization algorithms.

Practical demonstrations validate its effectiveness across domains.

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.