gradient step denoiser 1input convex neural network 1plug-and-play denoising 1poisson inverse problems 1splitting methods 1
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math.NA2026
A Relaxed Gradient Step Denoiser for Splitting Methods in Poisson Inverse Problems
Alessandro Benfenati
The paper introduces a splitting algorithm for Poisson image reconstruction that uses a relaxed gradient‑step denoiser derived from a learned convex potential (implemented with an…
math.NA2025
Plug and Play Splitting Techniques for Poisson Image Restoration
Alessandro Benfenati
Plug and Play (PnP) methods achieve remarkable results in the framework of image restoration problems for Gaussian data. Nonetheless, the theory available for the Gaussian case can…