Eva Coupeté

Provably Convergent Plug & Play Linearized ADMM, Applied to Deblurring Spatially Varying Kernels

Plug & Play methods combine proximal algorithms with denoiser priors to solve inverse problems. These methods rely on the computability of the proximal operator of the data fidelity term. In this paper, we propose a Plug & Play framework based on linearized ADMM that allows us to bypass the computat…