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User-friendly Building of Reconstruction Algorithms with GlobalBioIm

Abstract : The current shift towards computational imaging has made reconstruction procedures an integral part of many advanced imaging systems. A consequence is that imaging scientists now commonly require efficient and reliable computational tools for solving their inverse problems. To this end, we recently developed GlobalBioIm, an open-source Matlab library that standardizes the resolution of a wide range of imaging problems [1]. This toolbox gives access to cutting-edge reconstruction algorithms, and can be extended to new modalities and methods by combining elementary modules. The versatility and efficiency of GlobalBioIm have been highlighted in a series of recent high-impact works [2-4]. Driven by these encouraging applications, we have devoted our efforts towards improving the usability of GlobalBioIm by those with limited expertise in inverse problems and optimization theory. The outcome is a new user-friendly Matlab interface (Figure 1) that allows non-experts to intuitively build tailored reconstruction algorithms with minimal effort. Figure 1: The new GlobalBioIm GUI (left) can be used to solve various inverse problems (right).
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https://hal.archives-ouvertes.fr/hal-02433452
Contributor : Emmanuel Soubies <>
Submitted on : Thursday, January 9, 2020 - 10:20:30 AM
Last modification on : Tuesday, June 16, 2020 - 3:49:52 AM

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  • HAL Id : hal-02433452, version 1

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Laurène Donati, Emmanuel Soubies, Michael Unser. User-friendly Building of Reconstruction Algorithms with GlobalBioIm. Quantitative BioImaging Conference 2020, Jan 2020, Oxford, United Kingdom. ⟨hal-02433452⟩

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