Paper
1 June 2011 Underwater laser serial imaging using compressive sensing and digital mirror device
Bing Ouyang, Fraser R. Dalgleish, Frank M. Caimi, Thomas E. Giddings, Joseph J. Shirron, Anni K. Vuorenkoski, Gero Nootz, Walter Britton, Brian Ramos
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Abstract
The compressive sensing (CS) theory has drawn great interest in signal processing community in recent years and led to new image acquisition techniques in many different fields. This research attempts to develop a CS based underwater laser serial imaging system. A Digital Mirror Device (DMD) based system configuration is proposed. The constraints due to scattering medium are studied. A multi-scale measurement matrix design, the "model-assisted" image reconstruction concept and a volume backscattering reduction technique are proposed to mitigate such constraints. These concepts are also applicable to CS based imager in other scattering environment such as fog, rain or clouds. Simulation results using a modified imaging model developed by HBOI and Metron and experimental results using a simple optical bench setup are presented. Finally the proposed technique is compared with traditional laser line scan (LLS) design and other structured illumination based imager.
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Bing Ouyang, Fraser R. Dalgleish, Frank M. Caimi, Thomas E. Giddings, Joseph J. Shirron, Anni K. Vuorenkoski, Gero Nootz, Walter Britton, and Brian Ramos "Underwater laser serial imaging using compressive sensing and digital mirror device", Proc. SPIE 8037, Laser Radar Technology and Applications XVI, 803707 (1 June 2011); https://doi.org/10.1117/12.884156
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Cited by 5 scholarly publications.
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KEYWORDS
Imaging systems

Matrices

Image processing

Binary data

Digital micromirror devices

Laser scattering

Receivers

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