39 citations · 87 across the 9 of their papers we have counts for
5 papers · 1 filter
Image Denoising with Control over Deep Network Hallucination
Qiyuan Liang, Florian Cassayre, Haley Owsianko +2
Deep image denoisers achieve state-of-the-art results but with a hidden cost. As witnessed in recent literature, these deep networks are capable of overfitting their training distr…
Deep Gaussian Denoiser Epistemic Uncertainty and Decoupled Dual-Attention Fusion
Xiaoqi Ma, Xiaoyu Lin, Majed El Helou +1
Following the performance breakthrough of denoising networks, improvements have come chiefly through novel architecture designs and increased depth. While novel denoising networks…
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
Majed El Helou, Ruofan Zhou, Sabine Süsstrunk
Super-resolution and denoising are ill-posed yet fundamental image restoration tasks. In blind settings, the degradation kernel or the noise level are unknown. This makes restorati…
W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping
Ruofan Zhou, Majed El Helou, Daniel Sage +3
In fluorescence microscopy live-cell imaging, there is a critical trade-off between the signal-to-noise ratio and spatial resolution on one side, and the integrity of the biologica…
Image Restoration using Plug-and-Play CNN MAP Denoisers
Siavash Bigdeli, David Honzátko, Sabine Süsstrunk +1
Plug-and-play denoisers can be used to perform generic image restoration tasks independent of the degradation type. These methods build on the fact that the Maximum a Posteriori (M…