Optimization Methods for In-Line Holography

DOI10.1137/17M1142740zbMath1401.35338arXiv1804.01502OpenAlexW3098795248MaRDI QIDQ4686940

Perfecto Vidal, Ana Carpio, Thomas G. Dimiduk, Virginia Selgas

Publication date: 10 October 2018

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1804.01502

zbMATH Keywords

holographymicroscaleinverse scatteringtopological derivativesoft mattercellular structuresnanoscaletopological energylight imaging

Mathematics Subject Classification ID

Inverse problems for PDEs (35R30) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21) Inverse problems (including inverse scattering) in optics and electromagnetic theory (78A46)

Related Items (4)

Seeing the invisible: digital holography ⋮ When topological derivatives met regularized Gauss-Newton iterations in holographic 3D imaging ⋮ Processing the 2D and 3D Fresnel experimental databases via topological derivative methods ⋮ Bayesian approach to inverse scattering with topological priors

Uses Software

• MatScat
• ADDA

Cites Work

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