A manifold lifting algorithm for multi-view compressive imaging

2009 Picture Coding Symposium, PCS 2009

Volumn , Issue , 2009, Pages

  Wakin, Michael B ^a  

^a Department of Geology and Geological Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERA POSITIONS; COMPRESSIVE IMAGING; LIFTING ALGORITHMS; MULTI-VIEWS; PROTOTYPE ALGORITHMS; RANDOM MEASUREMENT; SUBIMAGES;

CAMERAS; IMAGE CODING;

IMAGE RECONSTRUCTION;

EID: 70449673414     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PCS.2009.5167356     Document Type: Conference Paper

References (9)

1. D.L. Donoho, "Compressed sensing," IEEE Trans. Inform. Theory, vol. 52, no. 4, pp. 1289-1306, April 2006.
2. E.J. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inform. Theory, vol. 52, no. 2, Feb. 2006.
3. M. F. Duarte, M. A. Davenport, D. Takbar, J. N. Laska, T. Sun, K. F. Kelly, and R. G. Baraniuk, "Single-pixel imaging via compressive sampling," IEEE Signal Proc. Mag., vol. 25, no. 2, pp. 83-91, 2008.
4. D. Daron, M. B. Wakin, M. Duarte, S. Sarvotham, and R. G. Baraniuk, "Distributed compressed sensing," Rice University Technical Report TREE-0612, Nov 2006.
5. R. Coifman, F. Geshwind, and Y. Meyer, "Noiselets," Appl. Comput. Harmon. Anal., vol. 10, pp. 27-44, 2001.
6. M. B. Wakin, D. L. Donoho, H. Choi, and R. G. Baraniuk, "The multi-scale structure of non-differentiable image manifolds," in Proc. Wavelets XI at SPIE Optics and Photonics, San Diego, August 2005, SPIE.
7. R. G. Baraniuk and M. B. Wakin, "Random projections of smooth manifolds," Foundations of Computational Mathematics, vol. 9, no. 1, pp. 51-77, Feb 2009.
8. J. B. Tenenbaum, V. de Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, no. 5500, pp. 2319-2323, December 2000.
9. J. Y. Park and M. B. Wakin, "A multiscale framework for compressive sensing of video," in Proc. Picture Coding Symposium (PCS), Chicago, Illinois, May 2009.