Optical compressive sensing: A new field benefiting from classical optical signal processing techniques

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

Compressive sensing is a relatively new theory that has introduced a dramatic breakthrough in signal acquisition. In the context of imaging, it asserts that for common types of objects and with proper system design, it is possible to capture N2-pixel images with much fewer than N 2 measurements. This implies that it is possible to capture signals with a larger space-bandwidth product than that of the system. Implementation of compressive imaging (CI) systems requires optical design that differs drastically from that for conventional imaging. Fortunately, CI design may benefit from concepts previously developed by Prof. Caulfield and others for optical signal processing.

Original languageEnglish GB
DOIs
StatePublished - 28 Nov 2013
EventTribute to H. John Caulfield - San Diego, CA, United States
Duration: 28 Aug 201328 Aug 2013

Conference

ConferenceTribute to H. John Caulfield
Country/TerritoryUnited States
CitySan Diego, CA
Period28/08/1328/08/13

Keywords

  • Compressed Sensing
  • Compressive Sensing
  • Compressive imaging
  • Optical Signal Processing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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