ProxImaL is a Python-embedded modeling language for image optimization problems. It allows you to express your problem in a natural way that follows the math, and automatically determines an efficient method for solving the problem. ProxImaL makes it easy to experiment with many different priors and other problem reformulations, without worrying about the details of how the problem is solved.
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References in zbMATH (referenced in 1 article )
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- Jakob S. Jørgensen, Evelina Ametova, Genoveva Burca, Gemma Fardell, Evangelos Papoutsellis, Edoardo Pasca, Kris Thielemans, Martin Turner, Ryan Warr, William R. B. Lionheart, Philip J. Withers: Core Imaging Library - Part I: a versatile Python framework for tomographic imaging (2021) arXiv