Supervised learning of analysis-sparsity priors with automatic differentiation

Hashem Ghanem, Joseph Salmon, Nicolas Keriven +1

Sparsity priors are commonly used in denoising and image reconstruction. For analysis-type priors, a dictionary defines a representation of signals that is likely to be sparse. In…