FPA-CS: Focal Plane Array-based Compressive Imaging in Short-wave Infrared

Cameras for imaging in short and mid-wave infrared spectra are significantly more expensive than their counter-parts in visible imaging. As a result, high-resolution imag-ing in those spectrum remains beyond the reach of most con-sumers. 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 compu-tational 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 sens-ing (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 × 64 pixels; the prototype provides a 4096 × increase in the measurement rate compared to the SPC and achieves a megapixel resolu-tion at video rate using CS techniques. 1