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math.OC2008
Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients
Sylvain Durand, Jalal Fadili, Mila Nikolova
We address the denoising of images contaminated with multiplicative noise, e.g. speckle noise. Classical ways to solve such problems are filtering, statistical (Bayesian) methods,…
math.OC2008★ 3 cited
Hamiltonian approach to geodesic image matching
François-Xavier Vialard
This paper presents a generalization to image matching of the Hamiltonian approach for planar curve matching developed in the context of group of diffeomorphisms. We propose an eff…