Special Section on Compressive Sensing for Imaging

Compressive sensing underwater laser serial imaging system

[+] Author Affiliations
Bing Ouyang

Florida Atlantic University/HBOI, 5600 US 1, Fort Pierce, Florida 34946

Fraser R. Dalgleish

Florida Atlantic University/HBOI, 5600 US 1, Fort Pierce, Florida 34946

Frank M. Caimi

Florida Atlantic University/HBOI, 5600 US 1, Fort Pierce, Florida 34946

Thomas E. Giddings

Metron Inc., 1818 Library Street, Suite 600, Reston, Virginia, 20190

Joseph J. Shirron

Metron Inc., 1818 Library Street, Suite 600, Reston, Virginia, 20190

Anni K. Vuorenkoski

Florida Atlantic University/HBOI, 5600 US 1, Fort Pierce, Florida 34946

Walter Britton

Florida Atlantic University/HBOI, 5600 US 1, Fort Pierce, Florida 34946

Benjamin Metzger

Florida Atlantic University/HBOI, 5600 US 1, Fort Pierce, Florida 34946

Brian Ramos

Florida Atlantic University/HBOI, 5600 US 1, Fort Pierce, Florida 34946

Gero Nootz

Florida Atlantic University/HBOI, 5600 US 1, Fort Pierce, Florida 34946

J. Electron. Imaging. 22(2), 021010 (Mar 01, 2013). doi:10.1117/1.JEI.22.2.021010
History: Received August 16, 2012; Revised January 29, 2013; Accepted February 5, 2013
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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

Citation

Bing Ouyang ; Fraser R. Dalgleish ; Frank M. Caimi ; Thomas E. Giddings ; Joseph J. Shirron, et al.
"Compressive sensing underwater laser serial imaging system", J. Electron. Imaging. 22(2), 021010 (Mar 01, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.2.021010


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