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231223s2011 xx |||||o 00| ||eng c |
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|a 10.1109/TPAMI.2010.167
|2 doi
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|a eng
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1 |
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|a Mudenagudi, Uma
|e verfasserin
|4 aut
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| 245 |
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|a Space-time super-resolution using graph-cut optimization
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|c 2011
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 18.08.2011
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|a Date Revised 01.07.2011
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|a published: Print
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a We address the problem of super-resolution—obtaining high-resolution images and videos from multiple low-resolution inputs. The increased resolution can be in spatial or temporal dimensions, or even in both. We present a unified framework which uses a generative model of the imaging process and can address spatial super-resolution, space-time super-resolution, image deconvolution, single-image expansion, removal of noise, and image restoration. We model a high-resolution image or video as a Markov random field and use maximum a posteriori estimate as the final solution using graph-cut optimization technique. We derive insights into what super-resolution magnification factors are possible and the conditions necessary for super-resolution. We demonstrate spatial super-resolution reconstruction results with magnifications higher than predicted limits of magnification. We also formulate a scheme for selective super-resolution reconstruction of videos to obtain simultaneous increase of resolutions in both spatial and temporal directions. We show that it is possible to achieve space-time magnification factors beyond what has been suggested in the literature by selectively applying super-resolution constraints. We present results on both synthetic and real input sequences
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|a Journal Article
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| 700 |
1 |
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|a Banerjee, Subhashis
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kalra, Prem Kumar
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1998
|g 33(2011), 5 vom: 15. Mai, Seite 995-1008
|w (DE-627)NLM098212257
|x 1939-3539
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|g volume:33
|g year:2011
|g number:5
|g day:15
|g month:05
|g pages:995-1008
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|u http://dx.doi.org/10.1109/TPAMI.2010.167
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