Title :
Blind super-resolution using a learning-based approach
Author :
Bégin, Isabelle ; Ferrie, Frank P.
Author_Institution :
Centre for Intelligent Machines, McGill Univ., Montreal, Que., Canada
Abstract :
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.
Keywords :
deconvolution; image resolution; learning (artificial intelligence); optical transfer function; blind deconvolution; blind super-resolution; image resolution; learning-based approach; point spread-function; Cameras; Deconvolution; Degradation; Image databases; Image reconstruction; Image resolution; Image restoration; Learning systems; Machine learning; Principal component analysis;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334046
