Blind Super-Resolution Using a Learning-Based Approach

  • Authors:
  • Isabelle Begin;Frank P. Ferrie

  • Affiliations:
  • McGill University, Canada;McGill University, Canada

  • Venue:
  • ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
  • Year:
  • 2004

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Abstract

The super-resolution of a single image of unknown point-spread-function (PSF) is addressedby extending a learning framework using blind deconvolution with an uncertainty around the resulting PSF. Results indicate success in refining the estimate of the PSF as well as to restoring the image. A novel disparity measure is also proposed to quantify the results.