Compressed sensing for radio interferometric imaging: review and future direction

Jason D McEwen, Yves Wiaux

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Radio interferometry is a powerful technique for astronomical imaging. The theory of compressed sensing (CS) has been applied recently to the ill-posed inverse problem of recovering images from the measurements taken by radio interferometric telescopes. We review novel CS radio interferometric imaging techniques, both at the level of acquisition and reconstruction, and discuss their superior performance relative to traditional approaches. In order to remain as close to the theory of CS as possible, these techniques necessarily consider idealised interferometric configurations. To realise the enhancement in quality provided by these novel techniques on real radio interferometric observations, their extension to realistic interferometric configurations is now of considerable importance. We also chart the future direction of research required to achieve this goal.

Original languageEnglish
Title of host publicationProceedings of the 18th IEEE International Conference on Image Processing
Pages1313-1316
Number of pages4
ISBN (Electronic)978-1-4577-1302-6
DOIs
Publication statusPublished - 2011
Event18th IEEE International Conference on Image Processing 2011 - Brussels, Belgium
Duration: 11 Sept 201114 Sept 2011

Conference

Conference18th IEEE International Conference on Image Processing 2011
Abbreviated titleICIP 2011
Country/TerritoryBelgium
CityBrussels
Period11/09/1114/09/11

Keywords

  • Compressed sensing
  • interferometric imaging
  • radio interferometry
  • sparsity

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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