Temporal super-resolution for time domain continuous imaging

Henry Dietz, Paul Eberhart, John Fike, Katie Long, Clark Demaree

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


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.

Original languageEnglish
Pages (from-to)87-93
Number of pages7
JournalIS and T International Symposium on Electronic Imaging Science and Technology
StatePublished - 2017
EventComputational Imaging XV 2017 - Burlingame, United States
Duration: Jan 29 2017Feb 2 2017

Bibliographical note

Funding Information:
This work is supported in part under NSF Award #1422811, CSR: Small: Computational Support for Time Domain Continuous Imaging.

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Human-Computer Interaction
  • Software
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics


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