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Journal of Electronic Imaging • Open Access

Special Section Guest Editorial: Compressive Sensing for Imaging
Author(s): Fauzia Ahmad; Gonzalo R. Arce; Ram M. Narayanan; Dimitris A. Pados

Paper Abstract

Compressive sensing (CS) is an emerging field of research with far-reaching impact on a variety of applications. For signals admitting sparse representations, CS permits collection of a significantly reduced number of measurements than required by the Shannon-Nyquist sampling theorem and provides efficient superresolution signal reconstruction. In essence, CS provides means for reducing data volume and efficient sensor deployment without a degradation in system performance. Such capabilities are highly desirable for a range of civil and military applications.

Paper Details

Date Published: 29 May 2013
PDF: 3 pages
J. Electron. Imag. 22(2) 020901 doi: 10.1117/1.JEI.22.2.020901
Published in: Journal of Electronic Imaging Volume 22, Issue 2
Show Author Affiliations
Fauzia Ahmad, Villanova Univ. (United States)
Gonzalo R. Arce, Univ. of Delaware (United States)
Ram M. Narayanan, The Pennsylvania State Univ. (United States)
Dimitris A. Pados, Univ. at Buffalo (United States)

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