5,618 research outputs found
Reconstruction from Radon projections and orthogonal expansion on a ball
The relation between Radon transform and orthogonal expansions of a function
on the unit ball in \RR^d is exploited. A compact formula for the partial
sums of the expansion is given in terms of the Radon transform, which leads to
algorithms for image reconstruction from Radon data. The relation between
orthogonal expansion and the singular value decomposition of the Radon
transform is also exploited.Comment: 15 page
Fast OPED algorithm for reconstruction of images from Radon data
A fast implementation of the OPED algorithm, a reconstruction algorithm for
Radon data introduced recently, is proposed and tested. The new implementation
uses FFT for discrete sine transform and an interpolation step. The convergence
of the fast implementation is proved under the condition that the function is
mildly smooth. The numerical test shows that the accuracy of the OPED algorithm
changes little when the fast implementation is used.Comment: 13 page
Sparse Bounds for Discrete Quadratic Phase Hilbert Transform
Consider the discrete quadratic phase Hilbert Transform acting on
finitely supported functions We prove that, uniformly in , there is a sparse bound for the bilinear form . The sparse bound implies several mapping properties such as
weighted inequalities in an intersection of Muckenhoupt and reverse H\"older
classes.Comment: 9 page
Improving estimates for discrete polynomial averages
For a polynomial mapping the integers into the integers, define an
averaging operator acting on
functions on the integers. We prove sufficient conditions for the
-improving inequality \begin{equation*} \|A_N
f\|_{\ell^q(\mathbb{Z})} \lesssim_{P,p,q} N^{-d(\frac{1}{p}-\frac{1}{q})}
\|f\|_{\ell^p(\mathbb{Z})}, \qquad N \in\mathbb{N}, \end{equation*} where
. For a range of quadratic polynomials, the
inequalities established are sharp, up to the boundary of the allowed pairs of
. For degree three and higher, the inequalities are close to being
sharp. In the quadratic case, we appeal to discrete fractional integrals as
studied by Stein and Wainger. In the higher degree case, we appeal to the
Vinogradov Mean Value Theorem, recently established by Bourgain, Demeter, and
Guth.Comment: 10 pages. This version combines arXiv:1910.12448 by J. Madrid with
arXiv:1910.14630v1 by the remaining four authors. To appear in JFA
OPED reconstruction algorithm for limited angle problem
The structure of the reconstruction algorithm OPED permits a natural way to
generate additional data, while still preserving the essential feature of the
algorithm. This provides a method for image reconstruction for limited angel
problems. In stead of completing the set of data, the set of discrete sine
transforms of the data is completed. This is achieved by solving systems of
linear equations that have, upon choosing appropriate parameters, positive
definite coefficient matrices. Numerical examples are presented.Comment: 17 page
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