Publications associées à Fast directional correlation on the sphere with steerable filters

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Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Michaël Unser, Julien René Pierre Fageot, Emrah Bostan

We study the statistics of wavelet coefficients of non-Gaussian images, focusing mainly on the behaviour at coarse scales. We assume that an image can be whitened by a fractional Laplacian operator, which is consistent with an

∥ω∥ ^{ -\gamma }

spectral ...

IEEE2014

Fast directional correlation on the sphere with steerable filters

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Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Sparse image reconstruction on the sphere: implications of a new sampling theorem

S2LET: A code to perform fast wavelet analysis on the sphere

On the computation of directional scale-discretized wavelet transforms on the sphere

Sparse Reverberant Audio Source Separation via Reweighted Analysis

Generalized Total Variation Denoising Via Augmented Lagrangian Cycle Spinning With Haar Wavelets

Generalized Total Variation Denoising via Augmented Lagrangian Cycle Spinning with Haar Wavelets

Optimally Localized Wavelets and Smoothing Kernels

Filter Bank Fusion frames

An Adaptive Diffusion Augmented CLMS Algorithm for Distributed Filtering of Noncircular Complex Signals

Sparse Reverberant Audio Source Separation via Reweighted Analysis

Optimally Localized Wavelets and Smoothing Kernels

Filter Bank Fusion frames

Sparse image reconstruction on the sphere: implications of a new sampling theorem

S2LET: A code to perform fast wavelet analysis on the sphere

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

On the computation of directional scale-discretized wavelet transforms on the sphere

Generalized Total Variation Denoising Via Augmented Lagrangian Cycle Spinning With Haar Wavelets

Generalized Total Variation Denoising via Augmented Lagrangian Cycle Spinning with Haar Wavelets

An Adaptive Diffusion Augmented CLMS Algorithm for Distributed Filtering of Noncircular Complex Signals