Super-resolution of images based on local correlations

  title={Super-resolution of images based on local correlations},
  author={Frank M. Candocia and Jos{\'e} Carlos Pr{\'i}ncipe},
  journal={IEEE transactions on neural networks},
  volume={10 2},
An adaptive two-step paradigm for the superresolution of optical images is developed in this paper. The procedure locally projects image samples onto a family of kernels that are learned from image data. First, an unsupervised feature extraction is performed on local neighborhood information from a training image. These features are then used to cluster the neighborhoods into disjoint sets for which an optimal mapping relating homologous neighborhoods across scales can be learned in a… CONTINUE READING
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