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17th International Conference on Pattern Recognition (ICPR'04) - Volume 2
Blind Super-Resolution Using a Learning-Based Approach
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Isabelle B?gin, McGill University, Canada
Frank P. Ferrie, McGill University, Canada
The super-resolution of a single image of unknown point-spread-function (PSF) is addressed by 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.
Citation:
Isabelle B?gin, Frank P. Ferrie, "Blind Super-Resolution Using a Learning-Based Approach," icpr, vol. 2, pp.85-89, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004
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