1 March 2013 Compressive sensing underwater laser serial imaging system
Bing Ouyang, Fraser R. Dalgleish, Frank M. Caimi, Thomas E. Giddings, Joseph Shirron, Anni K. Vuorenkoski, Walter Britton, Benjamin Metzger, Brian Ramos, Gero Nootz
Author Affiliations +
Abstract
Compressive sensing (CS) theory has drawn great interest in recent years and has led to new image-acquisition techniques in many different fields. This research investigates a CS-based active underwater laser serial imaging system, which employs a spatial light modulator (SLM) at the source. A multiscale polarity-flipping measurement matrix and a model-assisted image reconstruction concept are proposed to address limitations imposed by a scattering medium. These concepts are also applicable to CS-based imaging in atmospheric environments characterized by fog, rain, or clouds. Simulation results comparing the performance of the proposed technique with that of traditional laser line scan (LLS) sensors and other structured illumination-based imager are analyzed. Experimental results from over-the-air and underwater tests are also presented. The potential for extending the proposed frame-based imaging technique to the traditional line-by-line scanning mode is discussed.
© 2013 SPIE and IS&T 0091-3286/2013/$25.00 © 2013 SPIE and IS&T
Bing Ouyang, Fraser R. Dalgleish, Frank M. Caimi, Thomas E. Giddings, Joseph Shirron, Anni K. Vuorenkoski, Walter Britton, Benjamin Metzger, Brian Ramos, and Gero Nootz "Compressive sensing underwater laser serial imaging system," Journal of Electronic Imaging 22(2), 021010 (1 March 2013). https://doi.org/10.1117/1.JEI.22.2.021010
Published: 1 March 2013
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Imaging systems

Compressed sensing

Binary data

Receivers

Matrices

Electro optical modeling

Monte Carlo methods

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