The Block DROP and CAV Algorithms for Compressed Sensing Computing Tomography

Jiehua Zhu

The Block DROP and CAV Algorithms for Compressed Sensing Computing Tomography

Jiehua Zhu

Mathematical Sciences

Research output: Contribution to conference › Presentation

Abstract

In this talk, we will introduce a block diagonally-relaxed orthogonal projection algorithm and a block component averaging algorithm for computed tomography image reconstruction in the compressed sensing framework and derive the convergence. Numerical experiments are shown to illustrate the convergence of the new algorithms.

Original language	American English
State	Published - May 20 2012
Event	Society for Industrial and Applied Mathematics Conference on Imaging Sciences (SIAM-IS) - Hong Kong, China Duration: May 12 2014 → …

Conference

Conference	Society for Industrial and Applied Mathematics Conference on Imaging Sciences (SIAM-IS)
Period	05/12/14 → …

Disciplines

Mathematics

Keywords

Block component averaging algorithm
Computed tomography

Cite this

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title = "The Block DROP and CAV Algorithms for Compressed Sensing Computing Tomography",

abstract = " In this talk, we will introduce a block diagonally-relaxed orthogonal projection algorithm and a block component averaging algorithm for computed tomography image reconstruction in the compressed sensing framework and derive the convergence. Numerical experiments are shown to illustrate the convergence of the new algorithms.",

keywords = "Block component averaging algorithm, Computed tomography",

author = "Jiehua Zhu",

year = "2012",

month = may,

day = "20",

language = "American English",

note = "Society for Industrial and Applied Mathematics Conference on Imaging Sciences (SIAM-IS) ; Conference date: 12-05-2014",

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TY - CONF

T1 - The Block DROP and CAV Algorithms for Compressed Sensing Computing Tomography

AU - Zhu, Jiehua

PY - 2012/5/20

Y1 - 2012/5/20

N2 - In this talk, we will introduce a block diagonally-relaxed orthogonal projection algorithm and a block component averaging algorithm for computed tomography image reconstruction in the compressed sensing framework and derive the convergence. Numerical experiments are shown to illustrate the convergence of the new algorithms.

AB - In this talk, we will introduce a block diagonally-relaxed orthogonal projection algorithm and a block component averaging algorithm for computed tomography image reconstruction in the compressed sensing framework and derive the convergence. Numerical experiments are shown to illustrate the convergence of the new algorithms.

KW - Block component averaging algorithm

KW - Computed tomography

UR - https://www.siam.org/meetings/is12/is12_abstracts.pdf

M3 - Presentation

T2 - Society for Industrial and Applied Mathematics Conference on Imaging Sciences (SIAM-IS)

Y2 - 12 May 2014

ER -

The Block DROP and CAV Algorithms for Compressed Sensing Computing Tomography

Abstract

Conference

Disciplines

Keywords

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