29 citations · 88 across the 22 of their papers we have counts for
3 papers · 1 filter
Model-blind Video Denoising Via Frame-to-frame Training
Thibaud Ehret, Axel Davy, Jean-Michel Morel +2
Modeling the processing chain that has produced a video is a difficult reverse engineering task, even when the camera is available. This makes model based video processing a still…
Non-Local Video Denoising by CNN
Axel Davy, Thibaud Ehret, Jean-Michel Morel +2
Non-local patch based methods were until recently state-of-the-art for image denoising but are now outperformed by CNNs. Yet they are still the state-of-the-art for video denoising…
Modeling Realistic Degradations in Non-blind Deconvolution
Jérémy Anger, Mauricio Delbracio, Gabriele Facciolo
Most image deblurring methods assume an over-simplistic image formation model and as a result are sensitive to more realistic image degradations. We propose a novel variational fra…