no code implementations • 12 Dec 2023 • Matthieu Terris, Chao Tang, Adrian Jackson, Yves Wiaux
In a previous work, we introduced a class of convergent PnP algorithms, dubbed AIRI, relying on a forward-backward algorithm, with a differentiable data-fidelity term and dynamic range-specific denoisers trained on highly pre-processed unrelated optical astronomy images.
no code implementations • 28 Oct 2022 • Amir Aghabiglou, Matthieu Terris, Adrian Jackson, Yves Wiaux
We propose a residual DNN series approach, also interpretable as a learned version of matching pursuit, where the reconstructed image is a sum of residual images progressively increasing the dynamic range, and estimated iteratively by DNNs taking the back-projected data residual of the previous iteration as input.