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231224s2013 xx |||||o 00| ||eng c |
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|a 10.1109/TPAMI.2012.82
|2 doi
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|a eng
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| 100 |
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|a Zhu, Xiang
|e verfasserin
|4 aut
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| 245 |
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|a Removing atmospheric turbulence via space-invariant deconvolution
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|c 2013
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|a Date Completed 11.07.2013
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|a Date Revised 16.11.2012
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|a published: Print
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|a Citation Status MEDLINE
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|a To correct geometric distortion and reduce space and time-varying blur, a new approach is proposed in this paper capable of restoring a single high-quality image from a given image sequence distorted by atmospheric turbulence. This approach reduces the space and time-varying deblurring problem to a shift invariant one. It first registers each frame to suppress geometric deformation through B-spline-based nonrigid registration. Next, a temporal regression process is carried out to produce an image from the registered frames, which can be viewed as being convolved with a space invariant near-diffraction-limited blur. Finally, a blind deconvolution algorithm is implemented to deblur the fused image, generating a final output. Experiments using real data illustrate that this approach can effectively alleviate blur and distortions, recover details of the scene, and significantly improve visual quality
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|a Journal Article
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|a Research Support, U.S. Gov't, Non-P.H.S.
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| 700 |
1 |
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|a Milanfar, Peyman
|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 1979
|g 35(2013), 1 vom: 31. Jan., Seite 157-70
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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| 773 |
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|g volume:35
|g year:2013
|g number:1
|g day:31
|g month:01
|g pages:157-70
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|u http://dx.doi.org/10.1109/TPAMI.2012.82
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|d 35
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|h 157-70
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