Champagnat F - Search Results

1

Learning local depth regression from defocus blur by soft-assignment encoding.

Leroy R, Trouvé-Peloux P, Le Saux B, Buat B, Champagnat F. Leroy R, et al. Among authors: champagnat f. Appl Opt. 2022 Oct 10;61(29):8843-8849. doi: 10.1364/AO.471105. Appl Opt. 2022. PMID: 36256020

2

Theoretical performance model for single image depth from defocus.

Trouvé-Peloux P, Champagnat F, Le Besnerais G, Idier J. Trouvé-Peloux P, et al. Among authors: champagnat f. J Opt Soc Am A Opt Image Sci Vis. 2014 Dec 1;31(12):2650-62. doi: 10.1364/JOSAA.31.002650. J Opt Soc Am A Opt Image Sci Vis. 2014. PMID: 25606754

3

Turning a conventional camera into a 3D camera with an add-on.

Trouvé-Peloux P, Sabater J, Bernard-Brunel A, Champagnat F, Le Besnerais G, Avignon T. Trouvé-Peloux P, et al. Among authors: champagnat f. Appl Opt. 2018 Apr 1;57(10):2553-2563. doi: 10.1364/AO.57.002553. Appl Opt. 2018. PMID: 29714240

4

Performance model of depth from defocus with an unconventional camera.

Trouvé-Peloux P, Champagnat F, Le Besnerais G, Druart G, Idier J. Trouvé-Peloux P, et al. Among authors: champagnat f. J Opt Soc Am A Opt Image Sci Vis. 2021 Oct 1;38(10):1489-1500. doi: 10.1364/JOSAA.424621. J Opt Soc Am A Opt Image Sci Vis. 2021. PMID: 34612979

5

Learning scene and blur model for active chromatic depth from defocus.

Buat B, Trouvé-Peloux P, Champagnat F, Le Besnerais G. Buat B, et al. Among authors: champagnat f. Appl Opt. 2021 Nov 1;60(31):9966-9974. doi: 10.1364/AO.439139. Appl Opt. 2021. PMID: 34807187

6

Deblur or denoise: the role of an aperture in lens and neural network co-design.

Dufraisse M, Trouvé-Peloux P, Volatier JB, Champagnat F. Dufraisse M, et al. Among authors: champagnat f. Opt Lett. 2023 Jan 15;48(2):231-234. doi: 10.1364/OL.478671. Opt Lett. 2023. PMID: 36638425

7

Passive depth estimation using chromatic aberration and a depth from defocus approach.

Trouvé P, Champagnat F, Le Besnerais G, Sabater J, Avignon T, Idier J. Trouvé P, et al. Among authors: champagnat f. Appl Opt. 2013 Oct 10;52(29):7152-64. doi: 10.1364/AO.52.007152. Appl Opt. 2013. PMID: 24217733

8

B-spline image model for energy minimization-based optical flow estimation.

Le Besnerais G, Champagnat F. Le Besnerais G, et al. Among authors: champagnat f. IEEE Trans Image Process. 2006 Oct;15(10):3201-6. doi: 10.1109/tip.2006.877485. IEEE Trans Image Process. 2006. PMID: 17022281

9

Statistical performance modeling for superresolution: a discrete data-continuous reconstruction framework.

Champagnat F, Le Besnerais G, Kulcsár C. Champagnat F, et al. J Opt Soc Am A Opt Image Sci Vis. 2009 Jul;26(7):1730-46. doi: 10.1364/josaa.26.001730. J Opt Soc Am A Opt Image Sci Vis. 2009. PMID: 19568310

10

Background first- and second-order modeling for point target detection.

Genin L, Champagnat F, Le Besnerais G. Genin L, et al. Among authors: champagnat f. Appl Opt. 2012 Nov 1;51(31):7701-13. doi: 10.1364/AO.51.007701. Appl Opt. 2012. PMID: 23128722

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