Blind Super-Resolution Using a Learning-Based Approach

I
ICPR
2004
17th International Conference on Pattern Recognition (ICPR'04) - Volume 2
Abstract - Blind Super-Resolution Using a Learning-Based Approach

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	Similar Articles Articles by Isabelle B?gin Articles by Frank P. Ferrie

17th International Conference on Pattern Recognition (ICPR'04) - Volume 2

Cambridge UK

August 23-August 26

ISBN: 0-7695-2128-2

	ASCII Text	x
	Isabelle B?gin, Frank P. Ferrie, "Blind Super-Resolution Using a Learning-Based Approach," Pattern Recognition, International Conference on, vol. 2, pp. 85-89, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004.

	BibTex	x
	@article{ 10.1109/ICPR.2004.1334046, author = {Isabelle B?gin and Frank P. Ferrie}, title = {Blind Super-Resolution Using a Learning-Based Approach}, journal ={Pattern Recognition, International Conference on}, volume = {2}, year = {2004}, issn = {1051-4651}, pages = {85-89}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334046}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Blind Super-Resolution Using a Learning-Based Approach SN - 1051-4651 SP85 EP89 A1 - Isabelle B?gin, A1 - Frank P. Ferrie, PY - 2004 KW - null VL - 2 JA - Pattern Recognition, International Conference on ER -

Isabelle B?gin, McGill University, Canada

Frank P. Ferrie, McGill University, Canada

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334046

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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