Application of Proximal Algorithms to Three Dimensional Deconvolution Microscopy
نویسنده
چکیده
In microscopy, shot noise dominates image formation, which can be modeled as a Poisson process. The Richardson-Lucy method tends to converge slowly for large problems and is not flexible to the addition of nondifferentiable priors. In this project, proximal algorithms like ADMM and Chambolle-Pock are applied to three dimensional deconvolution and are shown to converge faster than Richardson-Lucy.
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