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Sliced optimal transport on the sphere
Sliced optimal transport reduces optimal transport on multi-dimensional domains to transport
on the line. More precisely, sliced optimal transport is the concatenation of the well-known …
on the line. More precisely, sliced optimal transport is the concatenation of the well-known …
Parallelly sliced optimal transport on spheres and on the rotation group
Sliced optimal transport, which is basically a Radon transform followed by one-dimensional
optimal transport, became popular in various applications due to its efficient computation. In …
optimal transport, became popular in various applications due to its efficient computation. In …
A frame decomposition of the Funk-Radon transform
Abstract The Funk-Radon transform assigns to a function defined on the unit sphere its
integrals along all great circles of the sphere. In this paper, we consider a frame …
integrals along all great circles of the sphere. In this paper, we consider a frame …
Inversion formulas for the attenuated conical Radon transform: Plane and cylinder case
Since the invention of Compton camera imaging, the conical Radon transform, which maps
a given function defined on 3-dimensional Euclidean space to its surface integrals over …
a given function defined on 3-dimensional Euclidean space to its surface integrals over …
Commuting integral and differential operators and the master symmetries of the Korteweg–de Vries equation
FA Grünbaum - Inverse Problems, 2021 - iopscience.iop.org
The singular value decomposition going with many problems in medical imaging, non-
destructive testing, geophysics, etc is of central importance. Unfortunately the effective …
destructive testing, geophysics, etc is of central importance. Unfortunately the effective …
Funk-Minkowski transform and spherical convolution of Hilbert type in reconstructing functions on the sphere
SG Kazantsev - arxiv preprint arxiv:1806.06672, 2018 - arxiv.org
The Funk--Minkowski transform ${\mathcal F} $ associates a function $ f $ on the sphere
${\mathbb S}^ 2$ with its mean values (integrals) along all great circles of the sphere …
${\mathbb S}^ 2$ with its mean values (integrals) along all great circles of the sphere …
Uncertainty, ghosts, and resolution in Radon problems
AK Louis - The Radon Transform: The First, 2019 - degruyter.com
WestudythenonuniquenessproblemforRado… directions. In the early days of the application
of computed tomography, they caused some confusion about the possible information …
of computed tomography, they caused some confusion about the possible information …
Orthogonal function series formulae for inversion of the conical Radon transform with a fixed central axis
S Moon - Inverse Problems, 2019 - iopscience.iop.org
In this study, we derive two new inversion formulae for the n+ 1-dimensional conical Radon
transform that integrates a given n+ 1-dimensional function on the upper half space over all …
transform that integrates a given n+ 1-dimensional function on the upper half space over all …
Orthogonal function series formulas for inversion of the spherical Radon transform
S Moon - Inverse Problems, 2020 - iopscience.iop.org
A spherical Radon transform that averages a function over all spheres centered on a given
sphere is related to not only pure but also applied mathematics topics. Especially, the …
sphere is related to not only pure but also applied mathematics topics. Especially, the …
Check for updates Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting
K Schrader, P Peter, N Kämper… - … di Pula, Italy, May 21–25 …, 2023 - books.google.com
With well-selected data, homogeneous diffusion inpainting can reconstruct images from
sparse data with high quality. While 4K colour images of size 3840× 2160 can already be …
sparse data with high quality. While 4K colour images of size 3840× 2160 can already be …