CASCARANO , Pasquale

We consider a variational model for single-image super-resolution based on the assumption that the image gradient of the target image is sparse. To promote jump sparsity, we use an isotropic and anisotropic $\ell^{0}$ inverse Potts gradient regularisation term combined with a quadratic data fidelity, similarly as studied in [1] for general...

We consider a variational model for single-image super-resolution based on the assumption that the gradient of the target image is sparse. We enforce this assumption by considering both an isotropic and an anisotropic $ℓ^0$ regularisation on the image gradient combined with a quadratic data fidelity, similarly as studied in \cite{Storath14} for...

International audience