We investigate a Plug-and-Play framework for microscopy image reconstruction under Poisson noise, by unfolding the reconstruction into a Newton iteration and a denoising-based algorithm. This method can flexibly embed various denoising priors into reconstruction tasks.

© 2019 The Author(s)

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