Computer Diffraction Tomography: A Comparative Analysis of the Use of Guided and Wavelet Filters for Image Processing

Digital processing of 2D X-ray projection images of a Coulomb-type point defect in a Si(111) crystal detected against the statistical Gaussian noise background has been carried out using a guided filter and a wavelet filter with the 4th-order Daubechies function. The efficiency of 2D image filtering has been determined by calculating the relative square deviations of the intensities of the filtered and reference (noise-free) 2D images averaged over all points. A comparison of the calculated relative root-mean-square deviations of the intensities has shown that the investigated methods work quite well and can be effectively used in noise processing of X-ray diffraction images for 3D reconstruction of nanoscale defects in crystal structures.

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Publication Details

Journal
Crystallography Reports
Published
2024-10-01
DOI
https://doi.org/10.1134/s1063774524601618
Citations
3
Primary Topic
Image and Signal Denoising Methods
Type
article
Field-Weighted Citation Impact
0.75
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article

Computer Diffraction Tomography: A Comparative Analysis of the Use of Guided and Wavelet Filters for Image Processing

V. I. Bondarenko, F. N. Chukhovskiǐ, С. Ш. Рехвиашвили
3 citations
Crystallography Reports
Image and Signal Denoising Methods
0.75
article

Computer Diffraction Tomography: A Comparative Analysis of the Use of Guided and Wavelet Filters for Image Processing

V. I. Bondarenko, F. N. Chukhovskiǐ, С. Ш. Рехвиашвили
article en
3 citations

Abstract

Digital processing of 2D X-ray projection images of a Coulomb-type point defect in a Si(111) crystal detected against the statistical Gaussian noise background has been carried out using a guided filter and a wavelet filter with the 4th-order Daubechies function. The efficiency of 2D image filtering has been determined by calculating the relative square deviations of the intensities of the filtered and reference (noise-free) 2D images averaged over all points. A comparison of the calculated relative root-mean-square deviations of the intensities has shown that the investigated methods work quite well and can be effectively used in noise processing of X-ray diffraction images for 3D reconstruction of nanoscale defects in crystal structures.

Crystallography ReportsVol. 69(5)
Kurchatov Institute (RU), Kabardino-Balkarian Scientific Center (RU), A.V. Shubnikov Institute of Crystallography (RU)
Openalex Percentile: Top 27%
Image and Signal Denoising Methods
0.75
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Computer Diffraction Tomography: A Comparative Analysis of the Use of Guided and Wavelet Filters for Image Processing — V. I. Bondarenko, F. N. Chukhovskiǐ, et al. · Crystallography Reports (2024) | TGRS Research Map | TGRS