Single-pixel camera

Compressive sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal or image contains enough information for reconstruction and processing.  Our new digital image/video camera directly acquires random projections of a scene without first collecting the pixels/voxels. The camera architecture employs a digital micromirror array to optically calculate linear projections of the scene onto pseudorandom binary patterns. Its key hallmark is its ability to obtain an image or video with a single detection element (the "single pixel") while measuring the scene fewer times than the number of pixels/voxels. Since the camera relies on a single photon detector, it can also be adapted to image at wavelengths where conventional CCD and CMOS imagers are blind.

For more information, see the single-pixel camera project page.


Authors: Marco Duarte, Mark Davenport, Jason Laska, Ting Sun, Dharmpal Takhar, Shriram Sarvotham, Dror Baron, Michael Wakin, Kevin Kelly, Richard Baraniuk


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