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Proceedings Paper

Compact opto-electronic engine for high-speed compressive sensing
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Paper Abstract

The measurement efficiency of Compressive Sensing (CS) enables the computational construction of images from far fewer measurements than what is usually considered necessary by the Nyquist– Shannon sampling theorem. There is now a vast literature around CS mathematics and applications since the development of its theoretical principles about a decade ago. Applications include quantum information to optical microscopy to seismic and hyper-spectral imaging. In the application of shortwave infrared imaging, InView has developed cameras based on the CS single-pixel camera architecture. This architecture is comprised of an objective lens to image the scene onto a Texas Instruments DLP® Micromirror Device (DMD), which by using its individually controllable mirrors, modulates the image with a selected basis set. The intensity of the modulated image is then recorded by a single detector. While the design of a CS camera is straightforward conceptually, its commercial implementation requires significant development effort in optics, electronics, hardware and software, particularly if high efficiency and high-speed operation are required. In this paper, we describe the development of a high-speed CS engine as implemented in a lab-ready workstation. In this engine, configurable measurement patterns are loaded into the DMD at speeds up to 31.5 kHz. The engine supports custom reconstruction algorithms that can be quickly implemented. Our work includes optical path design, Field programmable Gate Arrays for DMD pattern generation, and circuit boards for front end data acquisition, ADC and system control, all packaged in a compact workstation.

Paper Details

Date Published: 26 September 2013
PDF: 14 pages
Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 885616 (26 September 2013); doi: 10.1117/12.2024148
Show Author Affiliations
James Tidman, InView Technology Corp. (United States)
Tyler Weston, InView Technology Corp. (United States)
Donna Hewitt, InView Technology Corp. (United States)
Matthew A. Herman, InView Technology Corp. (United States)
Lenore McMackin, InView Technology Corp. (United States)


Published in SPIE Proceedings Vol. 8856:
Applications of Digital Image Processing XXXVI
Andrew G. Tescher, Editor(s)

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