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Camille Sutour

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Workgroup Imaging
Institute for Computational and Applied Mathematics
University of Mnster
Corrensstrae 80
D-48149 Münster

Office room : 2
Tel. : +49 251 83-35105
Fax : +49 251 83-32729
e-mail : linkpic camille dot sutour at uni-muenster dot de
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About me

  • Since November 2015: Postdoctoral research fellow in the Institute for Computational and Applied Mathematics, University of Mnster, Working Group Imaging.
  • 2012-2015: PhD in image processing. Numerical night vision system: Automatic restoration and multimodal registration of low light level images at the IMB (Institute of Mathematics of Bordeaux) and LaBRI (Laborotary of research in computer science), Uni- versity of Bordeaux. Under the supervision of Jean-Franois Aujol, Charles-Alban Deledalle and Jean-Philippe Do- menger.
  • 2012: Master degree in Signal and Image Processing, University of Bordeaux.
My resume.


Research interests

Numerical night vision system: Automatic restoration and multimodal registration of low light level images

My PhD was financed by the DGA and the Aquitaine and was the result of a collaboration with Thales Avionics in Le Haillan. The goal of this project is to enhance the quality of night vision for helicopter pilots. This is achieved thanks to a numerical system composed of a light intensifier (IL) coupled to a CCD camera. The obtained images are directly projected onto the helmet visor. The goal of this work is to improve this night vision device. The first part consists in reducing the noise level that corrupts the LI images, thanks to an automatic noise estimation algorithm combined to an adaptive video denoising algorithm. Then the LI images are registered to infrared image (IR) in order to perform the fusion of both modalities. More information about this work.


Publications

Revue papers:
Conference papers: Thesis: Numerical night vision system : Automatic restoration and multimodal registration of low light level images, July 2015.


Talks

  • University of Graz (Austria), 30th July 2015. Numerical night vision system: Automatic restoration and multimodal registration of low light level images.
  • University of Mnster (Germany), 26th August 2015. Numerical night vision system: Automatic restoration and multimodal registration of low light level images.
  • Gretsi (Lyon, France), 08th September 2015. Estimation du niveau de bruit par la dtection non paramtrique de zones homognes.
  • 1st Applied Mathematics Symposium Mnster (Germany), 29th September 2015. Adaptive Regularization of the Non-Local means for image and video denoising.
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