An Architecture for Compressive Imaging

  title={An Architecture for Compressive Imaging},
  author={Michael B. Wakin and Jason N. Laska and Marco F. Duarte and Dror Baron and Shriram Sarvotham and Dharmpal Takhar and Kevin F. Kelly and Richard G. Baraniuk},
  journal={2006 International Conference on Image Processing},
Compressive sensing is an emerging field based on the rev elation 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 signal without first collecting the pixels/voxels. Our camera architecture employs a… CONTINUE READING
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Towards an algorithmic theory of compressed sensing

  • G. Cormode, S. Muthukrishnan
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