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.

中文翻译：

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PySAP：适用于多学科图像处理的Python稀疏数据分析包

我们介绍了为磁共振成像和宇宙学（COSMIC）项目的COmpressed Sensing开发的开源图像处理软件包PySAP（Python稀疏数据分析软件包）。该软件包提供了一套灵活的工具，可应用于各种研究领域中的各种压缩感测和图像重建问题。特别是，PySAP提供快速的小波变换和一系列集成的优化算法。在本文中，我们介绍了PySAP中可用的功能，并提供了有关天体物理和磁共振成像数据的实际演示。