A study of the coherence parameter of the progressive compressive imager based on Radon transform

Vladimir Farber, Elman Eduard, Yair Rivenson, Adrian Stern

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

Abstract

We have recently introduced a progressive compressing sensing method based on an appropriate sampling scheme of optical Radon projections. By choosing the sampling steps to be of the size of the golden angle new information is optimally acquired with each angular sampling step thus permitting gradual improvement of the reconstructed image. A comparison between the progressive sampling scheme with the conventional one based on uniform sampling is given in terms of their coherence parameter.

Original languageEnglish
Title of host publicationIndependent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI
DOIs
StatePublished - 9 Aug 2013
Event2013 Conference on Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI - Baltimore, MD, United States
Duration: 1 May 20133 May 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8750

Conference

Conference2013 Conference on Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XI
Country/TerritoryUnited States
CityBaltimore, MD
Period1/05/133/05/13

Keywords

  • Coherence parameter
  • Compressive sensing
  • Ordered sets optimization
  • Progressive compressive imaging
  • Radon projections

All Science Journal Classification (ASJC) codes

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

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