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Alternating Direction Method of Multipliers Applied to 3D Light Sheet Fluorescence Microscopy Image Deblurring Using GPU Hardware

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Abstract

This paper focuses on the deblurring and denoising of Poisson noise contaminated images acquired with a new imaging technique producing large 3D data sets: Light Sheet Fluorescence Microscopy. This paper details the optimization algorithm used, which is based on the Alternating Direction Method of Multipliers, and its efficient implementation using GPU hardware. In practice, a 3D 100 million voxel image is deconvolved in five minutes, which is at least 25 times faster than a state-of-the-art MATLAB implementation.
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Dates and versions

hal-03101422 , version 1 (07-01-2021)

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François de Vieilleville, Pierre Weiss, Valérie Lobjois, Denis Kouamé. Alternating Direction Method of Multipliers Applied to 3D Light Sheet Fluorescence Microscopy Image Deblurring Using GPU Hardware. 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011), Aug 2011, Boston, France. pp.4872-4875, ⟨10.1109/IEMBS.2011.6091207⟩. ⟨hal-03101422⟩
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