Cyan Systems (United States)

Cyan Systems has developed and made multiple improvements on our small pixel camera performance including low noise and compact size, weight, and power. The associated camera components demonstrate key resolution and enabling capabilities. Performance data from compact our new small pixel broadband full high-definition (1920x1080) camera technology is presented. We also report on recent results from our new digital readout integrated circuit (DROIC) small pixel mid-wave infrared camera with an ultra high-defintion (3840x2160) format.

We report on a novel infrared imager that utilizes on ROIC spatial and temporal processing that conducts motion computation on the FPA. Our work is motivated in part by biological vision which has enabled the ability to persistently track objects within the sensor's field of regard.

Infrared Focal Plane Arrays have been developed with reductions in pixel size below the Nyquist limit imposed by the optical systems Point Spread Function (PSF). These smaller sub diffraction limited pixels allows spatial oversampling of the image. We show that oversampling the PSF allows improved fidelity in imaging, resulting in sensitivity improvements due to pixel correlation, reduced false alarm rates, improved detection ranges, and an improved ability to track closely spaced objects.

We report on processing techniques to effectively control the data bandwidth in larger format focal plane array (FPA) sensors. We have developed an image processing architecture for foveating variable acuity FPAs that give a controlled reduction in the data rate via simple circuits that estimate activity on the FPA image plane. Integrated on-FPA signal processing goals are to perform pre-processing that is usually performed downstream in a dedicated processing module. Techniques for image pre-processing described in this paper allow transmitting ldquoactiverdquo pixel data while skipping unchanging pixels. These techniques for image pre-processing adjacent to the FPA allows significant reductions in the data rate, size, weight and power for small and low cost systems that cannot work with a large image processors.

We report on processing techniques to effectively control the data bandwidth in larger format Focal Plane Array (FPA) sensors. We have developed an image processing architecture for variable acuity FPAs that give a controlled reduction in the data rate via simple circuits that estimate activity on the FPA image plane. Integrated on-FPA signal processing goals are to perform pre-processing that is usually performed downstream in a dedicated processing module. Techniques for image pre-processing described in this paper allow transmitting active pixel data while skipping unchanging pixels. These techniques for image pre-processing adjacent to the FPA allows significant reductions in the data rate, size, weight and power for small and low cost systems that cannot work with a large image processing.

We report on the capabilities and efficiencies made possible by placing image processing functions near or on the Focal Plane Array (FPA). Recent work in advanced near FPA signal processing has shown that it is possible to migrate many of the heretofore off focal plane image processing tasks onto the Readout Integrated Circuit (ROIC). The goals of this work are to describe and demonstrate the feasibility of Activity and the associated computational efficiency with this type of on FPA processing. Bottleneck reduction, intelligent information processing, and adaptive bandwidth compression are also key challenges of the next generation FPA architectures with on FPA processing. We report on the development and performance benefits expected from an Activity Sensing algorithm using recorded infrared (IR) Data from a large format 1024 × 1024 variable acuity Indium-Antimonide 1 FPA sensor.