Boosting spatial resolution by incorporating periodic boundary conditions into single-distance hard-x-ray phase retrieval

Autor: Julio Cesar da Silva, Alexander Rack, Daniele Pelliccia, Margie P. Olbinado, Vincent Fernandez, David M. Paganin, Alessandro Mirone, Vincent Favre-Nicolin, Julie Villanova
Přispěvatelé: Monash University [Clayton], European Synchrotron Radiation Facility (ESRF), Paul Scherrer Institute (PSI), The Natural History Museum [London] (NHM), Matériaux, Rayonnements, Structure (MRS), Institut Néel (NEEL), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Boosting (machine learning)
Computer science
FOS: Physical sciences
Applied Physics (physics.app-ph)
02 engineering and technology
symbols.namesake
020210 optoelectronics & photonics
Optics
FOS: Electrical engineering
electronic engineering
information engineering

0202 electrical engineering
electronic engineering
information engineering

Periodic boundary conditions
Image resolution
business.industry
Image and Video Processing (eess.IV)
Paraxial approximation
Physics - Applied Physics
Electrical Engineering and Systems Science - Image and Video Processing
Simple extension
Atomic and Molecular Physics
and Optics

Electronic
Optical and Magnetic Materials

Fourier transform
symbols
[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]
[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic
Fresnel number
business
Phase retrieval
Algorithm
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Optics (physics.optics)
Physics - Optics
Zdroj: Journal of Optics
Journal of Optics, Institute of Physics (IOP), 2020, 22 (11), pp.115607. ⟨10.1088/2040-8986/abbab9⟩
ISSN: 2040-8978
2040-8986
Popis: A simple coherent-imaging method due to Paganin et al is widely employed for phase–amplitude reconstruction of samples using a single paraxial x-ray propagation-based phase-contrast image. The method assumes that the sample-to-detector distance is sufficiently small for the associated Fresnel number to be large compared to unity. The algorithm is particularly effective when employed in a tomographic setting, using a single propagation-based phase-contrast image for each projection. Here we develop a simple extension of the method, which improves the reconstructed contrast of very fine sample features. This provides first-principles motivation for boosting fine spatial detail associated with high Fourier frequencies, relative to the original method, and was inspired by several recent works employing empirically-obtained Fourier filters to a similar end.
Databáze: OpenAIRE