Computational inversion of electron micrographs using L 2 -gradient flows-convergence analysis

DOI10.1002/mma.2770zbMath1278.65142OpenAlexW2129257840MaRDI QIDQ2868880

No author found.

Publication date: 19 December 2013

Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/mma.2770

zbMATH Keywords

convergence analysisgradient flow methodelectron micrographsbiomedical image reconstruction

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32)

Related Items (1)

A new linearized split Bregman iterative algorithm for image reconstruction in sparse-view X-ray computed tomography

Cites Work

• Unnamed Item
• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• Mathematical Methods in Image Reconstruction
• Inversion of Electron Tomography Images Using L²-Gradient Flows ---- Computational Methods
• Convergence of the simultaneous algebraic reconstruction technique (SART)
• Gradient-flow-based semi-implicit finite-element method and its convergence analysis for image reconstruction
• Steepest Descent for Singular Linear Operator Equations
• A study in the BV space of a denoising-deblurring variational problem

This page was built for publication: Computational inversion of electron micrographs using L ² -gradient flows-convergence analysis