@inproceedings{2275b6bc7caf4b3993d85533a7df9b71,
title = "Compressive imaging for video representation and coding",
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.",
keywords = "Camera, Compressive sensing, Imaging, Incoherent projections, Linear programming, Random matrices, Sparsity, Video",
author = "Wakin, {Michael B.} and Laska, {Jason N.} and Duarte, {Marco F.} and Dror Baron and Shriram Sarvotham and Dharmpal Takhar and Kelly, {Kevin F.} and Baraniuk, {Richard G.}",
year = "2006",
language = "English (US)",
isbn = "300018726X",
series = "25th PCS Proceedings: Picture Coding Symposium 2006, PCS2006",
booktitle = "25th PCS Proceedings",
note = "25th PCS: Picture Coding Symposium 2006, PCS2006 ; Conference date: 24-04-2006 Through 26-04-2006",
}