Super-resolving optical systems based on compressive sensing

Adrian Stern, August Yitzhak, Vladimir Farber, Ran Yehuda

Research output: Contribution to conferencePaperpeer-review

Abstract

The theory of compressive sensing and sparse representations broke the traditional linkage between the resolution of the optical signals and the bandwidth of the acquisition process. As such, it opened the path to new optical super-resolving systems; that is, methods and systems that are able to capture optical signals with resolution beyond the classical limits. In this paper we overview some compressive sensing optical super-resolution systems that we have developed, including three compressive imaging system that produce super-resolution images, super-resolution tomography reconstruction, and super-resolution spectral sensing.

Original languageEnglish
DOIs
StatePublished - 21 Oct 2014
Event2014 13th Workshop on Information Optics, WIO 2014 - Neuchatel, Switzerland
Duration: 7 Jul 201411 Jul 2014

Conference

Conference2014 13th Workshop on Information Optics, WIO 2014
Country/TerritorySwitzerland
CityNeuchatel
Period7/07/1411/07/14

Keywords

  • compressed sensing
  • compressive imaging
  • compressive sensing
  • computational imaging
  • computational spectroscopy

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