Hurdles in the implementation of compressive sensing for imaging and ways to overcome them

Adrian Stern, Isaac Y. August, Yaniv Oiknine

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


The theory of compressive sensing (CS) has opened up new opportunities in the field of imaging. However, its implementation in this field is often not straight-forward and the optical imaging system engineer encounters several hurdles on the way of compressive imaging (CI) realization. The principles of CI design may differ drastically from the principles used for conventional imaging. Analytical tools developed for conventional imaging may not be optimal for compressive imaging. Nor are the conventional imaging components. Therefore often the CI designer needs to develop new tools, and imaging schemes. In this paper we overview the main challenges that might arise in the design of compressive imaging systems. The challenges are demonstrated through four tasks and systems: compressive two dimensional (2D) imager, compressive motion detection, compressive spectral imaging and compressive holography.

Original languageEnglish
Title of host publicationComputational Imaging
EditorsKenneth S. Kubala, Lei Tian, Abhijit Mahalanobis, Amit Ashok, Jonathan C. Petruccelli
ISBN (Electronic)9781510601116
StatePublished - 1 Jan 2016
EventComputational Imaging - Baltimore, United States
Duration: 17 Apr 201618 Apr 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceComputational Imaging
Country/TerritoryUnited States


  • Compressive imaging
  • Compressive sensing
  • Holography
  • Spectral imaging

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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