70 citations · 129 across the 14 of their papers we have counts for
14 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…
Timeline Design Space for Immersive Exploration of Time-Varying Spatial 3D Data
Gwendal Fouché, Ferran Argelaguet, Emmanuel Faure +1
Timelines are common visualizations to represent and manipulate temporal data, from historical events storytelling to animation authoring. However, timeline visualizations rarely c…
Towards a unified view of unsupervised non-local methods for image denoising: the NL-Ridge approach
Sébastien Herbreteau, Charles Kervrann
We propose a unified view of unsupervised non-local methods for image denoising that linearily combine noisy image patches. The best methods, established in different modeling and…
DCT2net: an interpretable shallow CNN for image denoising
Sébastien Herbreteau, Charles Kervrann
This work tackles the issue of noise removal from images, focusing on the well-known DCT image denoising algorithm. The latter, stemming from signal processing, has been well studi…
Probabilistic reconstruction of truncated particle trajectories on a closed surface
Yunjiao Lu, Pierre Hodara, Charles Kervrann +1
Investigation of dynamic processes in cell biology very often relies on the observation in two dimensions of 3D biological processes. Consequently, the data are partial and statist…
Testing independence between two random sets for the analysis of colocalization in bio-imaging
Frédéric Lavancier, Thierry Pécot, Liu Zengzhen +1
Colocalization aims at characterizing spatial associations between two fluorescently-tagged biomolecules by quantifying the co-occurrence and correlation between the two channels a…
A Sequential Algorithm to Detect Diffusion Switching along Intracellular Particle Trajectories
Vincent Briane, Charles Kervrann, Myriam Vimond
Single-particle tracking allows to infer the motion of single molecules in living cells. When we observe a long trajectory (more than 100 points), it is possible that the particle…
A statistical analysis of particle trajectories in living cells
Vincent Briane, Charles Kervrann, Myriam Vimond
Recent advances in molecular biology and fluorescence microscopy imaging have made possible the inference of the dynamics of single molecules in living cells. Such inference allows…
Aggregation of local parametric candidates with exemplar-based occlusion handling for optical flow
Denis Fortun, Patrick Bouthemy, Charles Kervrann
Handling all together large displacements, motion details and occlusions remains an open issue for reliable computation of optical flow in a video sequence. We propose a two-step a…