A Block Diagonally-Relaxed Orthogonal Projection Algorithm for Computed TomographySpring Southeastern Sectional Meeting of the American Mathematical Society (AMS) (2011)
The theory of compressed sensing has recently shown that signals and images that have sparse representations in some orthonormal basis can be reconstructed from much less data, at high quality, than what the Nyquist sampling theory requires. In this talk, we will introduce a block diagonally-relaxed orthogonal projection algorithm for computed tomography image reconstruction in the compressed sensing framework and derive its convergence.
- Block diagonally-relaxed orthogonal projection algorithm,
- Computed tomography
Publication DateMarch 12, 2011
Citation InformationJiehua Zhu. "A Block Diagonally-Relaxed Orthogonal Projection Algorithm for Computed Tomography" Spring Southeastern Sectional Meeting of the American Mathematical Society (AMS) (2011)
Available at: http://works.bepress.com/jiehua_zhu/19/