The Block Diagonally-Relaxed Orthogonal Projection Algorithm for Compressed Sensing Based Tomography
Document Type
Presentation
Presentation Date
5-16-2011
Abstract or Description
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.
Sponsorship/Conference/Institution
International Symposium on Photonics and Optoelectronics (SOPO)
Location
Wuhan, China
Recommended Citation
Zhu, Jiehua.
2011.
"The Block Diagonally-Relaxed Orthogonal Projection Algorithm for Compressed Sensing Based Tomography."
Department of Mathematical Sciences Faculty Presentations.
Presentation 578.
https://digitalcommons.georgiasouthern.edu/math-sci-facpres/578
