Search Results for author: Thibaud Ehret

Found 10 papers, 5 papers with code

Implementation of the VBM3D Video Denoising Method and Some Variants

1 code implementation6 Jan 2020 Thibaud Ehret, Pablo Arias

VBM3D is an extension to video of the well known image denoising algorithm BM3D, which takes advantage of the sparse representation of stacks of similar patches in a transform domain.

Image Denoising Optical Flow Estimation +1

Robust copy-move forgery detection by false alarms control

1 code implementation3 Jun 2019 Thibaud Ehret

Detecting reliably copy-move forgeries is difficult because images do contain similar objects.

Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images

1 code implementation ICCV 2019 Thibaud Ehret, Axel Davy, Pablo Arias, Gabriele Facciolo

Due to the unavailability of ground truth data these networks cannot be currently trained using real RAW images.

Demosaicking Denoising

Reducing Anomaly Detection in Images to Detection in Noise

no code implementations25 Apr 2019 Axel Davy, Thibaud Ehret, Jean-Michel Morel, Mauricio Delbracio

Anomaly detectors address the difficult problem of detecting automatically exceptions in an arbitrary background image.

Anomaly Detection

Non-Local Video Denoising by CNN

2 code implementations30 Nov 2018 Axel Davy, Thibaud Ehret, Jean-Michel Morel, Pablo Arias, Gabriele Facciolo

To the best of our knowledge, this is the first successful application of a CNN to video denoising.

Image Denoising Video Denoising

Model-blind Video Denoising Via Frame-to-frame Training

1 code implementation CVPR 2019 Thibaud Ehret, Axel Davy, Jean-Michel Morel, Gabriele Facciolo, Pablo Arias

Modeling the processing chain that has produced a video is a difficult reverse engineering task, even when the camera is available.

Denoising Video Denoising

Image Anomalies: a Review and Synthesis of Detection Methods

no code implementations7 Aug 2018 Thibaud Ehret, Axel Davy, Jean-Michel Morel, Mauricio Delbracio

We review the broad variety of methods that have been proposed for anomaly detection in images.

Anomaly Detection

On the Convergence of PatchMatch and Its Variants

no code implementations CVPR 2018 Thibaud Ehret, Pablo Arias

We also derive more specific bounds for two of these particular cases: the original PatchMatch and Coherency Sensitive Hashing.

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