Performance analysis of a parallel algorithm for restoring large-scale CT images

DOI10.1016/j.cam.2016.07.001zbMath1381.94018OpenAlexW2468432616MaRDI QIDQ311413

Marcin Paprzycki, Stanislav Harizanov, Krassimir Georgiev, Maria Ganzha, I. D. Lirkov

Publication date: 13 September 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.2016.07.001

zbMATH Keywords

parallel algorithmimage restorationprimal-dual algorithmanscombe transformepigraphical projection

Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Parallel algorithms in computer science (68W10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Complexity and performance of numerical algorithms (65Y20)

Uses Software

• BLAS

Cites Work

• Nonlinear total variation based noise removal algorithms
• A first-order primal-dual algorithm for convex problems with applications to imaging
• Homogeneous penalizers and constraints in convex image restoration
• Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising
• Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems
• An updated set of basic linear algebra subprograms (BLAS)
• THE TRANSFORMATION OF POISSON, BINOMIAL AND NEGATIVE-BINOMIAL DATA
• On Information and Sufficiency

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