Accurate Blur Models vs. Image Priors in Single Image Super-resolution

  title={Accurate Blur Models vs. Image Priors in Single Image Super-resolution},
  author={Netalee Efrat and Daniel Glasner and Alexander Apartsin and Boaz Nadler and Anat Levin},
  journal={2013 IEEE International Conference on Computer Vision},
Over the past decade, single image Super-Resolution (SR) research has focused on developing sophisticated image priors, leading to significant advances. Estimating and incorporating the blur model, that relates the high-res and low-res images, has received much less attention, however. In particular, the reconstruction constraint, namely that the blurred and down sampled high-res output should approximately equal the low-res input image, has been either ignored or applied with default fixed… CONTINUE READING
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Accurate blur models vs. image priors in single image superresolution - supplementary results

  • N. Efrat, D. Glasner, A. Apartsin, B. Nadler, A. Levin
  • 2013
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