We address the problem of image upscaling in the form of single image super-resolution
based on a dictionary of low-and high-resolution exemplars. Two recently proposed …

Recent algorithms for exemplar-based single image super-resolution have shown
impressive results, mainly due to well-chosen priors and recently also due to more accurate …

This paper addresses the patch size issue in sparse representation over learned
dictionaries. A strategy for selecting the best patch size is proposed. It is empirically shown …

Extraction of multiple resolution patches from image is helpful to image semantic
segmentation and scene understanding. Based on the analysis of the algorithm for structure …