Single-image super-resolution using kernel recursive least squares

Online single-image super-resolution of an image has been obtained here. The high-resolution image is constructed from a dictionary of features that approximately spans the subspace of regression. This paper classifies the low-resolution image using the kernel k -means clustering algorithm and makes...

Ausführliche Beschreibung