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Optical Engineering

Laser gated-viewing advanced range imaging methods using compressed sensing and coding of range-gates
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Paper Abstract

Laser gated-viewing advanced range imaging (LGVARI) methods sample range information in a wide range area with super-resolution from a few sampling frames. Three different methods are investigated: the coding of range-gates, the compressed sensing (CS) range imaging, and a hybrid-coding-CS method. In contrast to classical range imaging methods based on Nyquist sampling, the range information is not directly visible in the single images and has to be extracted from a complete sequence by means of computational optics. With LGVARI, it is possible to sample range information from only a few frames (i.e., images) with super-resolution far beyond the limit of the Nyquist sampling theorem. It is shown that the three methods have a compression rate of <9% .

Paper Details

Date Published: 7 May 2014
PDF: 6 pages
Opt. Eng. 53(5) 053106 doi: 10.1117/1.OE.53.5.053106
Published in: Optical Engineering Volume 53, Issue 5
Show Author Affiliations
Martin Laurenzis, Institut Franco-Allemand de Recherches de Saint-Louis (France)
Arnaud Woiselle, Sagem (France)

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