InView has been awarded a Phase II STTR grant from the US Air Force to develop a video rate compressive camera from its patented multi-pixel architecture. Having already harnessed the computational power of the famous Single-Pixel-Camera design, InView has now enhanced its speed and image processing capability by incorporating a small array of pixels and new compressive computational methods. InView takes advantage of parallel measurements, matrix processing and fast efficient global reconstruction algorithms to produce the highest resolution SWIR images at rates up to 5 FPS.
Multi-pixel Compressive Sensing magnifies the resolution of a small pixel array. At left is a low-resolution image directly measured from a 64 x 64 InGaAs pixel array. When that same 64 x 64 array is used with compressive sensing, the image is transformed computationally into a detailed 512 x 512 image.
Rice University is InView’s academic partner on the grant and will provide support in developing target detection, recognition and tracking algorithms that InView will implement on its SWIR parallel data acquisition and processing platform.