Self-learning super-resolution is an approach for enhancing single-image resolution. In this
approach, instead of using the external database for learning the relation between low and
high resolution image patches, only relation between patches in the input image pyramid
are used for learning. In this paper, a novel self-learning single image super-resolution
method by focusing on the organization of the low and the corresponding high-resolution
information has been presented. In order to provide training data the low-resolution and the …