Single-image super-resolution via local learning

@article{Tang2011SingleimageSV,
  title={Single-image super-resolution via local learning},
  author={Yi Tang and Pingkun Yan and Yuan Yuan and Xuelong Li},
  journal={Int. J. Machine Learning & Cybernetics},
  year={2011},
  volume={2},
  pages={15-23}
}
Nearest neighbor-based algorithms are popular in example-based super-resolution from a single image. The core idea behind such algorithms is that similar images are close in the sense of distance measurement. However, it is well known in the field of machine learning and statistical learning theory that the generalization of the nearest neighbor-based estimation is poor, when complex or high dimensional data are considered. To improve the power of the nearest neighbor-based algorithms in single… CONTINUE READING
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Partially supervised NE for example-based image super-resolution

  • K Zhang
  • IEEE J Sel Top Signal Process (to be published)
  • 2011
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