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A Greedy Algorithm for the Analysis Transform Domain
Raja Giryes
Many image processing applications benefited remarkably from the theory of sparsity. One model of sparsity is the cosparse analysis one. It was shown that using l_1-minimization on…
Sparsity Based Poisson Denoising with Dictionary Learning
Raja Giryes, Michael Elad
The problem of Poisson denoising appears in various imaging applications, such as low-light photography, medical imaging and microscopy. In cases of high SNR, several transformatio…
Greedy Signal Space Methods for incoherence and beyond
Raja Giryes, Deanna Needell
Compressive sampling (CoSa) has provided many methods for signal recovery of signals compressible with respect to an orthonormal basis. However, modern applications have sparked th…
Can we allow linear dependencies in the dictionary in the sparse synthesis framework?
Raja Giryes, Michael Elad
Signal recovery from a given set of linear measurements using a sparsity prior has been a major subject of research in recent years. In this model, the signal is assumed to have a…