29 citations · 88 across the 22 of their papers we have counts for
8 papers · 1 filter
A Reference-Free Framework for Evaluating Single-Frame ISP Pipelines
Yujin Cho, Sira Ferradans, Jean-Michel Morel +2
Evaluating camera image signal processing (ISP) pipelines requires measuring low-level artifacts introduced by operations such as denoising, demosaicing, tone mapping, and compress…
How to Best Combine Demosaicing and Denoising?
Yu Guo, Qiyu Jin, Jean-Michel Morel +1
Image demosaicing and denoising play a critical role in the raw imaging pipeline. These processes have often been treated as independent, without considering their interactions. In…
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…
Handheld Burst Super-Resolution Meets Multi-Exposure Satellite Imagery
Jamy Lafenetre, Ngoc Long Nguyen, Gabriele Facciolo +1
Image resolution is an important criterion for many applications based on satellite imagery. In this work, we adapt a state-of-the-art kernel regression technique for smartphone ca…
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…
Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising?
Valéry Dewil, Aranud Barral, Gabriele Facciolo +1
Supervised training has led to state-of-the-art results in image and video denoising. However, its application to real data is limited since it requires large datasets of noisy-cle…
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…