29 citations · 88 across the 22 of their papers we have counts for
3 papers · 1 filter
Joint Demosaicking and Denoising Benefits from a Two-stage Training Strategy
Yu Guo, Qiyu Jin, Gabriele Facciolo +2
Image demosaicking and denoising are the first two key steps of the color image production pipeline. The classical processing sequence has for a long time consisted of applying den…
A Review of an Old Dilemma: Demosaicking First, or Denoising First?
Qiyu Jin, Gabriele Facciolo, Jean-Michel Morel
Image denoising and demosaicking are the most important early stages in digital camera pipelines. They constitute a severely ill-posed problem that aims at reconstructing a full co…
Self-Supervised training for blind multi-frame video denoising
Valéry Dewil, Jérémy Anger, Axel Davy +3
We propose a self-supervised approach for training multi-frame video denoising networks. These networks predict frame t from a window of frames around t. Our self-supervised approa…