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• W2028094141 abstract "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." @default.
• W2028094141 created "2016-06-24" @default.
• W2028094141 creator A5002085979 @default.
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• W2028094141 date "2013-01-01" @default.
• W2028094141 modified "2023-10-15" @default.
• W2028094141 title "Removing Atmospheric Turbulence via Space-Invariant Deconvolution" @default.
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• W2028094141 doi "https://doi.org/10.1109/tpami.2012.82" @default.
• W2028094141 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23154324" @default.
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