Single image super-resolution via internal gradient similarity

@article{Xian2016SingleIS,
  title={Single image super-resolution via internal gradient similarity},
  author={Yang Xian and Yingli Tian},
  journal={J. Visual Communication and Image Representation},
  year={2016},
  volume={35},
  pages={91-102}
}
Image super-resolution aims to reconstruct a high-resolution image from one or multiple low-resolution images which is an essential operation in a variety of applications. Due to the inherent ambiguity for superresolution, it is a challenging task to reconstruct clear, artifacts-free edges while still preserving rich and natural textures. In this paper, we propose a novel, straightforward, and effective single image superresolution method based on internal across-scale gradient similarity. The… CONTINUE READING
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