Optically compressed image sensing using random aperture coding

A. Stern, Yair Rivenson, Bahram Javidi

Research output: Contribution to conferencePaperpeer-review

14 Scopus citations


The common approach in digital imaging today is to capture as many pixels as possible and later to compress the captured image by digital means. The recently introduced theory of compressed sensing provides the mathematical foundation necessary to change the order of these operations, that is, to compress the information before it is captured. In this paper we present an optical implementation of compressed sensing. With this method, a compressed version of an object's image is captured directly. The compression is accomplished by optical means with a single exposure. One implication of this imaging approach is that the effective space-bandwidth-product of the imaging system is larger than that of conventional imaging systems. This implies, for example, that more object pixels may be reconstructed and visualized than the number of pixels of the image sensor.

Original languageEnglish GB
StatePublished - 20 May 2008
EventEnabling Photonics Technologies for Defense, Security, and Aerospace Applications IV - Orlando, FL, United States
Duration: 17 Mar 200818 Mar 2008


ConferenceEnabling Photonics Technologies for Defense, Security, and Aerospace Applications IV
Country/TerritoryUnited States
CityOrlando, FL


  • Aperture coding
  • Compressed sensing
  • Compressive imaging
  • Compressive sensing
  • Matching pursuit
  • Resolution
  • Stagewise orthogonal matching pursuit

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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