Compact opto-electronic engine for high-speed compressive sensing
2013
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.
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