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Volume: 29 | Article ID: art00015
Temporal super-resolution for time domain continuous imaging
  DOI :  10.2352/ISSN.2470-1173.2017.17.COIMG-430  Published OnlineJanuary 2017

Super-resolution (SR) image processing describes any technique by which the resolution of an imaging system is enhanced. Normally, the resolution being enhanced is spatial; images are processed to provide noise reduction, sub-pixel image localization, etc. Less often, it is used to enhance temporal properties – for example, to derive a higher framerate sequence from one or more lower framerate sequences. Time domain continuous imaging (TDCI) representations are inherently frameless, representing a time-varying scene as a compressed continuous waveform per pixel, but they still imply finite temporal resolution and accuracy. This paper explores computational methods by which the temporal resolution can be enhanced and temporal noise reduced using a TDCI representation.

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Henry Dietz, Paul Eberhart, John Fike, Katie Long, Clark Demaree, "Temporal super-resolution for time domain continuous imagingin Proc. IS&T Int’l. Symp. on Electronic Imaging: Computational Imaging XV,  2017,  pp 87 - 93,

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