Search Results - Condat, L

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  1. 1
    Indusion: Fusion of Multispectral and Panchromatic Images Using the Induction Scaling Technique

    Indusion: Fusion of Multispectral and Panchromatic Images Using the Induction Scaling Technique by Khan, M.M., Chanussot, J., Condat, L., Montanvert, A.

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  2. 2
    A forward-backward view of some primal-dual optimization methods in image recovery

    A forward-backward view of some primal-dual optimization methods in image recovery by Combettes, P. L., Condat, L., Pesquet, J.-C, Vu, B. C.

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  3. 3
    A New Color Filter Array With Optimal Properties for Noiseless and Noisy Color Image Acquisition

    A New Color Filter Array With Optimal Properties for Noiseless and Noisy Color Image Acquisition by Condat, L.

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  4. 4
    Quasi-Interpolating Spline Models for Hexagonally-Sampled Data

    Quasi-Interpolating Spline Models for Hexagonally-Sampled Data by Condat, L., Van De Ville, D.

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  5. 5
    Hyperspectral image inpainting based on collaborative total variation

    Hyperspectral image inpainting based on collaborative total variation by Addesso, P., Dalla Mura, M., Condat, L., Restaino, R., Vivone, G., Picone, D., Chanussot, J.

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  6. 6
    Reversible, Fast, and High-Quality Grid Conversions

    Reversible, Fast, and High-Quality Grid Conversions by Condat, L., Van De Ville, D., Forster-Heinlein, B.

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  7. 7
    Three-directional box-splines: characterization and efficient evaluation

    Three-directional box-splines: characterization and efficient evaluation by Condat, L., Van De Ville, D.

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  8. 8
    Recovery of nonuniformdirac pulses from noisy linear measurements

    Recovery of nonuniformdirac pulses from noisy linear measurements by Condat, L., Hirabayashi, A., Hironaga, Y.

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  9. 9
    A generic variational approach for demosaicking from an arbitrary color filter array

    A generic variational approach for demosaicking from an arbitrary color filter array by Condat, L.

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  10. 10
    Riesz-based orientation of localizable Gaussian fields

    Riesz-based orientation of localizable Gaussian fields by Polisano, K., Clausel, M., Perrier, V., Condat, L.

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  11. 11
    A simple, fast and efficient approach to denoisaicking: Joint demosaicking and denoising

    A simple, fast and efficient approach to denoisaicking: Joint demosaicking and denoising by Condat, L

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  12. 12
    Joint demosaicking and denoising by total variation minimization

    Joint demosaicking and denoising by total variation minimization by Condat, L., Mosaddegh, S.

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  13. 13
    Can Japanese quail male aggressions toward a female cagemate predict aggressiveness toward unknown conspecifics?

    Can Japanese quail male aggressions toward a female cagemate predict aggressiveness toward unknown conspecifics? by Pellegrini, S., Condat, L., Caliva, J.M., Marin, R.H., Guzman, D.A.

    Published in Livestock science
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  14. 14
    A new color filter array with optimal sensing properties

    A new color filter array with optimal sensing properties by Condat, L.

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  15. 15
    Beyond interpolation: optimal reconstruction by quasi-interpolation

    Beyond interpolation: optimal reconstruction by quasi-interpolation by Condat, L., Blu, T., Unser, M.

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  16. 16
    A new random color filter array with good spectral properties

    A new random color filter array with good spectral properties by Condat, L.

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  17. 17
    Gradient Estimation Revitalized

    Gradient Estimation Revitalized by Alim, U, Möller, T, Condat, L

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  18. 18
    A framework for image magnification: induction revisited

    A framework for image magnification: induction revisited by Condat, L., Montanvert, A.

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  19. 19
    Robust linear unmixing with enhanced sparsity

    Robust linear unmixing with enhanced sparsity by Tiard, A., Condat, L., Drumetz, L., Chanussot, J., Yin, W., Zhu, X.

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  20. 20
    Role des polymères extracellulaires dans l'adsorption du cadmium par les boues activées

    Role des polymères extracellulaires dans l'adsorption du cadmium par les boues activées by GUIBAUD, G, BAUDU, M, DOLLET, P, CONDAT, M. L, DAGOT, C

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