An explicit spectral decomposition of the ADRT

Read full text
Authors: Weilin Li, Karl Otness, Kui Ren, Donsub Rim
Cited by: 0
References: 22

Abstract

Abstract The approximate discrete Radon transform (ADRT) is a hierarchical multiscale approximation of the Radon transform. In this paper, we factor the ADRT into a product of linear transforms that resemble convolutions and derive an explicit spectral decomposition of each factor. We further show that this implies—for data lying in the range of the ADRT—that the transform of an $$N \times N$$ N × N image can be formally inverted with complexity $$\mathcal {O}(N^2 \log ^2 N)$$ O ( N 2 log 2 N ) . We numerically test the accuracy of the inverse on images of moderate size and find that it is competitive with existing iterative algorithms in this special regime.

Fields of Study & Subjects

Cardiac Arrhythmias and Treatments Lanthanide and Transition Metal Complexes Atrial Fibrillation Management and Outcomes

Publication details

Journal / source
BIT Numerical Mathematics
Publisher
Springer Science and Business Media LLC
Volume
66
Issue
2
Publication date
26 May 2026
Language
EN