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Proceedings Paper

Optically compressed image sensing using random aperture coding
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Paper Abstract

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.

Paper Details

Date Published: 24 March 2008
PDF: 10 pages
Proc. SPIE 6975, Enabling Photonics Technologies for Defense, Security, and Aerospace Applications IV, 69750D (24 March 2008); doi: 10.1117/12.783528
Show Author Affiliations
A. Stern, Ben Gurion Univ. of the Negev (Israel)
Yair Rivenson, Ben Gurion Univ. of the Negev (Israel)
Bahram Javidi, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 6975:
Enabling Photonics Technologies for Defense, Security, and Aerospace Applications IV
Michael J. Hayduk; Peter J. Delfyett; Andrew R. Pirich; Eric J. Donkor, Editor(s)

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