Abstract
Compressive Sensing is an emerging field based on the revelation that a small group of non-adaptive linear projections of a compressible signal contains enough information for reconstruction and processing. In this paper, we propose algorithms and hardware to support a new theory of Compressive Imaging. Our approach is based on a new digital image/video camera that directly acquires random projections of the light field without first collecting the pixels/voxels. Our camera architecture employs a digital micromirror array to perform optical calculations of linear projections of an image onto pseudorandom binary patterns. Its hall-marks include the ability to obtain an image with a single detection element while measuring the image/video fewer times than the number of pixels/voxels; this can significantly reduce the computation required for video acquisition/encoding. Since our system relies on a single photon detector, it can also be adapted to image at wavelengths that are currently impossible with conventional CCD and CMOS imagers. We are currently testing a prototype design for the camera and include experimental results.
Original language | English (US) |
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Title of host publication | 25th PCS Proceedings |
Subtitle of host publication | Picture Coding Symposium 2006, PCS2006 |
Volume | 2006 |
State | Published - Dec 1 2006 |
Event | 25th PCS: Picture Coding Symposium 2006, PCS2006 - Beijing, China Duration: Apr 24 2006 → Apr 26 2006 |
Other
Other | 25th PCS: Picture Coding Symposium 2006, PCS2006 |
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Country/Territory | China |
City | Beijing |
Period | 4/24/06 → 4/26/06 |
Keywords
- Camera
- Compressive sensing
- Imaging
- Incoherent projections
- Linear programming
- Random matrices
- Sparsity
- Video
ASJC Scopus subject areas
- Engineering(all)