Dr. Benoit Vozel received a State Engineering degree, an M.Sc. degree in control and computer science, and a Ph.D. degree in applied sciences from the Ecole Centrale de Nantes, Nantes, France, in 1991 and 1994, respectively. Since 1995, he has been with the Engineering School of Applied Sciences and Technology, University of Rennes 1, Lannion, France. He is currently the head of the MULTIP (Multimodal Unsupervised Learning for Tensor Image Processing) research group, Institut d’Electronique et des Technologies du numéRique (IETR CNRS UMR 6164), Rennes, France. His research interests include the blind estimation of noise characteristics, blind image restoration, image registration, adaptive multichannel signal and image processing, self-supervised machine and deep learning and remote sensing data processing.
Research Keywords & Expertise
Image Registration
Remote Sensing
Remote sensing data pr...
Machine and Deep Learn...
Blind Estimation of No...
Blind Image Restoratio...
Adaptive Multichannel ...
Short Biography
Dr. Benoit Vozel received a State Engineering degree, an M.Sc. degree in control and computer science, and a Ph.D. degree in applied sciences from the Ecole Centrale de Nantes, Nantes, France, in 1991 and 1994, respectively. Since 1995, he has been with the Engineering School of Applied Sciences and Technology, University of Rennes 1, Lannion, France. He is currently the head of the MULTIP (Multimodal Unsupervised Learning for Tensor Image Processing) research group, Institut d’Electronique et des Technologies du numéRique (IETR CNRS UMR 6164), Rennes, France. His research interests include the blind estimation of noise characteristics, blind image restoration, image registration, adaptive multichannel signal and image processing, self-supervised machine and deep learning and remote sensing data processing.
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