Construction of a full row-rank matrix system for multiple scanning directions in discrete tomography

DOI10.1016/j.cam.2016.08.039zbMath1382.94021OpenAlexW2514587231MaRDI QIDQ730580

Xiezhang Li, James Diffenderfer, Jiehua Zhu

Publication date: 28 December 2016

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2016.08.039

zbMATH Keywords

full row-rank systemminimal linearly dependentstrip-based projection model

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Iterative numerical methods for linear systems (65F10)

Uses Software

• SparseLab

Cites Work

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• A full row-rank system matrix generated along two directions in discrete tomography
• Analysis on the strip-based projection model for discrete tomography
• A full row-rank system matrix generated by the strip-based projection model in discrete tomography
• Algebraic aspects of discrete tomography
• Decoding by Linear Programming
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?

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