Blind super-resolution using a learning-based approach
Isabelle Begin, F.R. Ferrie · Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. · 2004
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.