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A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital VideoPushing back the limits of Raman imaging by coupling super-resolution and chemometrics for aerosols characterizationTranslation Microscopy (TRAM) for super-resolution imaging.Planning, performing and analyzing X-ray Raman scattering experimentsElectronic magnification and perceived contrast of video.Multilayer pixel super-resolution lensless in-line holographic microscope with random sample movement.Characterization of an in-vacuum PILATUS 1M detector.Super resolution in robotic-assisted minimally invasive surgery.Super-resolution reconstruction for 4D computed tomography of the lung via the projections onto convex sets approach.Unified resolution bounds for conventional and stochastic localization fluorescence microscopy.Efficient and Effective Total Variation Image Super-Resolution: A Preconditioned Operator Splitting ApproachSuper-Resolution for Synthetic ZoomingA Lorentzian Stochastic Estimation for a Robust Iterative Multiframe Super-Resolution Reconstruction with Lorentzian-Tikhonov RegularizationPerformance Evaluation of Super-Resolution Reconstruction Methods on Real-World DataSuperresolution under Photometric Diversity of Images
P2860
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P2860
description
im Jahr 2004 veröffentlichter wissenschaftlicher Artikel
@de
wetenschappelijk artikel
@nl
наукова стаття, опублікована у 2004
@uk
name
Advances and challenges in super-resolution
@en
Advances and challenges in super-resolution
@nl
type
label
Advances and challenges in super-resolution
@en
Advances and challenges in super-resolution
@nl
prefLabel
Advances and challenges in super-resolution
@en
Advances and challenges in super-resolution
@nl
P2093
P356
P1476
Advances and challenges in super-resolution
@en
P2093
Dirk Robinson
Michael Elad
Peyman Milanfar
P356
10.1002/IMA.20007
P50
P577
2004-01-01T00:00:00Z