title: Alternating direction method of multipliers applied to 3D light sheet fluorescence microscopy image deblurring using GPU hardware.
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.
authors.affiliation: Université de Toulouse, IRIT UMR CNRS 5505, France. devieill@irit.fr
authors.forename: F
authors.initials: F
authors.lastname: de Vieilleville
authors.forename: P
authors.initials: P
authors.lastname: Weiss
authors.forename: V
authors.initials: V
authors.lastname: Lobjois
authors.forename: D
authors.initials: D
authors.lastname: Kouamé
mesh_terms: D000465:Algorithms; D008856:Microscopy, Fluorescence / Q000379:methods*; D008962:Models, Theoretical