54 citations · 226 across the 24 of their papers we have counts for
5 papers · 1 filter
Fast, nonlocal and neural: a lightweight high quality solution to image denoising
Yu Guo, Axel Davy, Gabriele Facciolo +2
With the widespread application of convolutional neural networks (CNNs), the traditional model based denoising algorithms are now outperformed. However, CNNs face two problems. Fir…
Fast Two-step Blind Optical Aberration Correction
Thomas Eboli, Jean-Michel Morel, Gabriele Facciolo
The optics of any camera degrades the sharpness of photographs, which is a key visual quality criterion. This degradation is characterized by the point-spread function (PSF), which…
Non-Semantic Evaluation of Image Forensics Tools: Methodology and Database
Quentin Bammey, Tina Nikoukhah, Marina Gardella +3
With the aim of evaluating image forensics tools, we propose a methodology to create forgeries traces, leaving intact the semantics of the image. Thus, the only forgery cues left a…
Robust Rational Polynomial Camera Modelling for SAR and Pushbroom Imaging
Roland Akiki, Roger Marí, Carlo de Franchis +2
The Rational Polynomial Camera (RPC) model can be used to describe a variety of image acquisition systems in remote sensing, notably optical and Synthetic Aperture Radar (SAR) sens…
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…