Compressive Imaging for Video Representation and Coding


Compressive Sensing is an emerging field based on the revelation that a small group of nonadaptive 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… (More)


3 Figures and Tables


Citations per Year

218 Citations

Semantic Scholar estimates that this publication has 218 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Wakin2006CompressiveIF, title={Compressive Imaging for Video Representation and Coding}, 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}, year={2006} }