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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.
https://hal.inria.fr/hal-03101422
Contributor : Pierre Weiss Connect in order to contact the contributor
Submitted on : Thursday, January 7, 2021 - 10:13:06 AM
Last modification on : Monday, November 8, 2021 - 5:00:01 PM
Long-term archiving on: : Thursday, April 8, 2021 - 6:33:49 PM
Contributor : Pierre Weiss Connect in order to contact the contributor
Submitted on : Thursday, January 7, 2021 - 10:13:06 AM
Last modification on : Monday, November 8, 2021 - 5:00:01 PM
Long-term archiving on: : Thursday, April 8, 2021 - 6:33:49 PM
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papier_EMBC_2011.pdf
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