Publications associées à Generalized Smoothing Splines and the Optimal Discretization of the Wiener Filter

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Cardinal Hermite Exponential Splines: Theoretical Insights and Applications to Active Contours

Michaël Unser, Virginie Sophie Uhlmann

Cardinal Hermite exponential spline functions are a generalization of the classical cardinal Hermite polynomial splines. In this work we consider the 4-dimensional space

ε _{ 4 }

= {1, x,

e ^{ \alpha x }

e ^{ -\alpha x }

} with α ∈ $ ℝ ^{ + } ...

SMAI-SIGMA2014

Generalized Smoothing Splines and the Optimal Discretization of the Wiener Filter

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Interior Tomography Using 1D Generalized Total Variation. Part I: Mathematical Foundation

Robust distributed detection over adaptive diffusion networks

Estimation of phase derivatives using discrete energy separation algorithm in digital holographic interferometry

Cardinal Hermite Exponential Splines: Theoretical Insights and Applications to Active Contours

Exponential Hermite Splines For The Analysis Of Biomedical Images

Exponential Hermite Splines for the Analysis of Biomedical Images

The Squares of Montchoisy. Notes for a History of the Open Form in Geneva

Linear Interpolation Of Biomedical Images Using A Data-Adaptive Kernel

Interpolating point spread function anisotropy

3D Residual Eddy Current Field Characterisation: applied to Diffusion Weighted Magnetic Resonance Imaging

Estimation of phase derivatives using discrete energy separation algorithm in digital holographic interferometry

Interior Tomography Using 1D Generalized Total Variation. Part I: Mathematical Foundation

3D Residual Eddy Current Field Characterisation: applied to Diffusion Weighted Magnetic Resonance Imaging

Cardinal Hermite Exponential Splines: Theoretical Insights and Applications to Active Contours

Robust distributed detection over adaptive diffusion networks

Exponential Hermite Splines For The Analysis Of Biomedical Images

Exponential Hermite Splines for the Analysis of Biomedical Images

The Squares of Montchoisy. Notes for a History of the Open Form in Geneva

Linear Interpolation Of Biomedical Images Using A Data-Adaptive Kernel

Interpolating point spread function anisotropy