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Kaiming He, Jian Sun, Xiaoou Tang (2010)
Guided Image FilteringIEEE Transactions on Pattern Analysis and Machine Intelligence, 35
F. Chukhovskii, P. Konarev, V. Volkov (2020)
Towards a solution of the inverse X-ray diffraction tomography challenge: theory and iterative algorithm for recovering the 3D displacement field function of Coulomb-type point defects in a crystal.Acta crystallographica. Section A, Foundations and advances, 76 Pt 2
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DIFFRACTION AND SCATTERING OF IONIZING RADIATIONS To the Solution of the Inverse Problem of X-Ray Topo-Tomography. Computer Algorithms and 3D Reconstruction on the Example of a Crystal with a Point Defect of Coulomb Type
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Digital Image Processing
According to the diffraction tomography data, the efficiency of minimization algorithms used to reconstruct the displacement field of a defect in a crystal depends on the presence of a noise component and implies preliminary use of noise filtering algorithms. The quality of projection image filtering has been estimated using the root-mean-square deviations of the intensity of a denoised image from the intensity of the initial noiseless image in a fixed rectangular neighborhood of the defect under study and beyond it. A comparison of these quantities, calculated after application of different noise filtering algorithms, has shown that their minimum values are obtained simultaneously using a guided image filter. The 3D reconstruction based on the projection images denoised in this way has significantly improved the quality of reconstructing the defect displacement field as compared with the results based on noisy unfiltered images.
Crystallography Reports – Springer Journals
Published: Nov 20, 2020
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