Portfolio item number 1
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Posts by Collection
portfolio
Portfolio item number 2
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publications
Depth estimation using chromatic aberration and a depth from defocus approach
Published in Applied Optics, 2013
Recommended citation: P. Trouvé, F. Champagnat, J. Sabater, T. Avignon, G. Le Besnerais and J. Idier, Depth estimation using chromatic aberration and a depth from defocus approach, Applied Optics, 53, 2013
Theoretical performance model for single image depth from defocus
Published in JOSAA, 2014
Recommended citation: P. Trouvé-Peloux, F. Champagnat, G. Le Besnerais and J. Idier, Theoretical performance model for single image depth from defocus, JOSAA, 31, 2014.
Turning a conventional camera into a 3D camera with an add-on
Published in Applied Optics, 2018
Recommended citation: P. Trouvé-Peloux, J. Sabater, A. Bernard-Brunel, F. Champagnat, G. Le Besnerais and T. Avignon, Turning a conventional camera into a 3D camera with an add-on, Applied Optics, 57, 2018.
Learning scene and blur model for active chromatic
Published in Applied Optics, 2021
Recommended citation: B. Buat, P. Trouvé-Peloux, F. Champagnat, G. Le Besnerais, Learning scene and blur model for active chromatic depth from defocus, Applied Optics, 60, 2021
Performance model of depth from defocus with an unconventional camera
Published in JOSAA, 2021
Recommended citation: P. Trouvé-Peloux, F. Champagnat, G. Le Besnerais, G. Druart and J. Idier, Performance model of depth from defocus with an unconventional camera, 38, 2021
Pix2Point: learning outdoor 3D using sparse point clouds and optimal transport
Published in MVA, 2021
Recommended citation: R. Leroy, B. Le Saux, P. Trouvé-Peloux, F. Champagnat, Pix2Point: learning outdoor 3D using sparse point clouds and optimal transport, MVA, 2021
End-to-end sensor and neural network design using differential ray tracing
Published in OE, 2021
Recommended citation: A. Halé, P. Trouvé-Peloux, J.-B. Volatier, End-to-end sensor and neural network design using differential ray tracing, 29, Optics Express, 2021
Benefit of neural network for the optimization of defect - Detection on composite material using ultrasonic non destructive testing
Published in QNDE, 2021
Recommended citation: P. Trouvé-Peloux, B. Abeloos, A. Ben Fekih, C. Trottier, J.-M. Roche, Benefit of neural network for the optimization of defect - Detection on composite material using ultrasonic non destructive testing, QNDE 2021
Learning local depth regression from defocus blur by soft-assignment encoding
Published in Applied Optics, 2022
Recommended citation: R. Leroy, P. Trouvé-Peloux, B. Le Saux, B. Buat, F. Champagnat, Learning local depth regression from defocus blur by soft-assignment encoding, Applied Optics, 61 (29),2022
Deblur or denoise: the role of an aperture in lens and neural network co-design
Published in Optics Letters, 2023
Recommended citation: M. Dufraisse, P. Trouvé-Peloux, J.-B. Volatier,F. Champagnat, Deblur or denoise: the role of an aperture in lens and neural network co-design, Optics Letters, vol. 48, 2, 2023
talks
Co-design summer school
Published:
teaching
Introduction to Co-design
Lectures and workshops, IOGS, ENSTA and ECN, 2013
These lectures and workshops are dedicated to introduction to the student of the joint design of optical and processing part of an imaging system
Image processing projects
Projects supervision, IOGS, 2015
I co-supervise image processing projects for 3d year students at the Institut d’Optique Graduate School - IOGS (15h) Examples of projects :
- Depth from Defocus
- Depth from Focus
- Denoising
- Single image deblurring
- HDR
- Rolling Shutter wobble removal in video
- Change detection in SAR images
- Tone mapping for video
- Demosaicking