Single Image Superresolution via Directional Group Sparsity and Directional Features

Abstract

Single image superresolution (SR) aims to construct a high-resolution version from a single low-resolution (LR) image. The SR reconstruction is challenging because of the missing details in the given LR image. Thus, it is critical to explore and exploit effective prior knowledge for boosting the reconstruction performance. In this paper, we propose a novel… (More)
DOI: 10.1109/TIP.2015.2432713

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