  Cameras for imaging in short and mid-wave infrared spectra are significantly
more expensive than their counterparts in visible imaging. As a result,
high-resolution imaging in those spectrum remains beyond the reach of most
consumers. Over the last decade, compressive sensing (CS) has emerged as a
potential means to realize inexpensive short-wave infrared cameras. One
approach for doing this is the single-pixel camera (SPC) where a single
detector acquires coded measurements of a high-resolution image. A
computational reconstruction algorithm is then used to recover the image from
these coded measurements. Unfortunately, the measurement rate of a SPC is
insufficient to enable imaging at high spatial and temporal resolutions.
  We present a focal plane array-based compressive sensing (FPA-CS)
architecture that achieves high spatial and temporal resolutions. The idea is
to use an array of SPCs that sense in parallel to increase the measurement
rate, and consequently, the achievable spatio-temporal resolution of the
camera. We develop a proof-of-concept prototype in the short-wave infrared
using a sensor with 64$\times$ 64 pixels; the prototype provides a 4096$\times$
increase in the measurement rate compared to the SPC and achieves a megapixel
resolution at video rate using CS techniques.
