Denoising X-Ray Diffraction Two-Dimensional Patterns with Lattice Boltzmann Method

An X-ray diffraction pattern consists of relevant information (the signal) and noisy background. Under the assumption that they behave as the components of a two-dimensional mixture (bicomponent fluid) having slightly different physical properties related to the density gradients, a Lattice Boltzman...

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Main Author: Massimo Ladisa
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Crystals
Subjects:
Online Access:https://www.mdpi.com/2073-4352/15/1/51
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author Massimo Ladisa
author_facet Massimo Ladisa
author_sort Massimo Ladisa
collection DOAJ
description An X-ray diffraction pattern consists of relevant information (the signal) and noisy background. Under the assumption that they behave as the components of a two-dimensional mixture (bicomponent fluid) having slightly different physical properties related to the density gradients, a Lattice Boltzmann Method is applied to disentangle the two different diffusive dynamics. The solution is numerically stable, not computationally demanding, and, it also provides an efficient increase in the signal-to-noise ratio for patterns blurred by Poissonian noise and affected by collection data anomalies (fiber-like samples, experimental setup, etc.). The model is succesfully applied to different resolution images.
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institution Kabale University
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series Crystals
spelling doaj-art-811b851909b043b0bdcfc454ceb4a00d2025-01-24T13:28:08ZengMDPI AGCrystals2073-43522025-01-011515110.3390/cryst15010051Denoising X-Ray Diffraction Two-Dimensional Patterns with Lattice Boltzmann MethodMassimo Ladisa0Istituto per le Applicazioni del Calcolo Mauro Picone, Consiglio Nazionale delle Ricerche, Via Giovanni Amendola 122/D, 70126 Bari, ItalyAn X-ray diffraction pattern consists of relevant information (the signal) and noisy background. Under the assumption that they behave as the components of a two-dimensional mixture (bicomponent fluid) having slightly different physical properties related to the density gradients, a Lattice Boltzmann Method is applied to disentangle the two different diffusive dynamics. The solution is numerically stable, not computationally demanding, and, it also provides an efficient increase in the signal-to-noise ratio for patterns blurred by Poissonian noise and affected by collection data anomalies (fiber-like samples, experimental setup, etc.). The model is succesfully applied to different resolution images.https://www.mdpi.com/2073-4352/15/1/51X-ray patternsdenoisingdiffusion equation
spellingShingle Massimo Ladisa
Denoising X-Ray Diffraction Two-Dimensional Patterns with Lattice Boltzmann Method
Crystals
X-ray patterns
denoising
diffusion equation
title Denoising X-Ray Diffraction Two-Dimensional Patterns with Lattice Boltzmann Method
title_full Denoising X-Ray Diffraction Two-Dimensional Patterns with Lattice Boltzmann Method
title_fullStr Denoising X-Ray Diffraction Two-Dimensional Patterns with Lattice Boltzmann Method
title_full_unstemmed Denoising X-Ray Diffraction Two-Dimensional Patterns with Lattice Boltzmann Method
title_short Denoising X-Ray Diffraction Two-Dimensional Patterns with Lattice Boltzmann Method
title_sort denoising x ray diffraction two dimensional patterns with lattice boltzmann method
topic X-ray patterns
denoising
diffusion equation
url https://www.mdpi.com/2073-4352/15/1/51
work_keys_str_mv AT massimoladisa denoisingxraydiffractiontwodimensionalpatternswithlatticeboltzmannmethod