Pocket Guide to Solve Inverse Problems with GlobalBioIm

Abstract

GlobalBioIm is an open-source MATLAB library for solving inverse problems. The library capitalizes on the strong commonalities between forward models to standardize the resolution of a wide range of imaging inverse problems. Endowed with an operator-algebra mechanism, GlobalBioIm allows one to easily solve inverse problems by combining elementary modules in a lego-like fashion. This user-friendly toolbox gives access to cutting-edge reconstruction algorithms, while its high modularity makes it easily extensible to new modalities and novel reconstruction methods. We expect GlobalBioIm to respond to the needs of imaging scientists looking for reliable and easy-to-use computational tools for solving their inverse problems. In this paper, we present in detail the structure and main features of the library. We also illustrate its flexibility with examples from multichannel deconvolution microscopy.

References in corpus (5)

• An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems
• A Proximal Decomposition Method for Solving Convex Variational Inverse Problems
• Hessian Schatten-Norm Regularization for Linear Inverse Problems
• Deconvolving Images with Unknown Boundaries Using the Alternating Direction Method of Multipliers
• A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems

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