37 citations · 58 across the 10 of their papers we have counts for
13 papers
On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey
Sébastien Herbreteau, Charles Kervrann
Image denoising is probably the oldest and still one of the most active research topic in image processing. Many methodological concepts have been introduced in the past decades an…
A unified framework of non-local parametric methods for image denoising
Sébastien Herbreteau, Charles Kervrann
We propose a unified view of non-local methods for single-image denoising, for which BM3D is the most popular representative, that operate by gathering noisy patches together accor…
Normalization-Equivariant Neural Networks with Application to Image Denoising
Sébastien Herbreteau, Emmanuel Moebel, Charles Kervrann
In many information processing systems, it may be desirable to ensure that any change of the input, whether by shifting or scaling, results in a corresponding change in the system…
A generative model to synthetize spatio-temporal dynamics of biomolecules in cells
Lisa Balsollier, Frédéric Lavancier, Jean Salamero +1
Generators of space-time dynamics in bioimaging have become essential to build ground truth datasets for image processing algorithm evaluation such as biomolecule detectors and tra…
Linear Combinations of Patches are Unreasonably Effective for Single-Image Denoising
Sébastien Herbreteau, Charles Kervrann
In the past decade, deep neural networks have revolutionized image denoising in achieving significant accuracy improvements by learning on datasets composed of noisy/clean image pa…
Immersive and Interactive Visualization of 3D Spatio-Temporal Data using a Space Time Hypercube
Gwendal Fouché, Ferran Argelaguet, Emmanuel Faure +1
We propose an extension of the well-known Space-Time Cube (STC) visualization technique in order to visualize time-varying 3D spatial data, taking advantage of the interaction capa…