scispace - formally typeset
Open AccessJournal ArticleDOI

Discrete radon transform

Gregory Beylkin
- 01 Feb 1987 - 
- Vol. 35, Iss: 2, pp 162-172
TLDR
It is shown that the DRT can be used to compute various generalizations of the classical Radon transform (RT) and, in particular, the generalization where straight lines are replaced by curves and weight functions are introduced into the integrals along these curves.
Abstract
This paper describes the discrete Radon transform (DRT) and the exact inversion algorithm for it. Similar to the discrete Fourier transform (DFT), the DRT is defined for periodic vector-sequences and studied as a transform in its own right. Casting the forward transform as a matrix-vector multiplication, the key observation is that the matrix-although very large-has a block-circulant structure. This observation allows construction of fast direct and inverse transforms. Moreover, we show that the DRT can be used to compute various generalizations of the classical Radon transform (RT) and, in particular, the generalization where straight lines are replaced by curves and weight functions are introduced into the integrals along these curves. In fact, we describe not a single transform, but a class of transforms, representatives of which correspond in one way or another to discrete versions of the RT and its generalizations. An interesting observation is that the exact inversion algorithm cannot be obtained directly from Radon's inversion formula. Given the fact that the RT has no nontrivial one-dimensional analog, exact invertibility makes the DRT a useful tool geared specifically for multidimensional digital signal processing. Exact invertibility of the DRT, flexibility in its definition, and fast computational algorithm affect present applications and open possibilities for new ones. Some of these applications are discussed in the paper.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

The finite ridgelet transform for image representation

TL;DR: This work proposes an orthonormal version of the ridgelet transform for discrete and finite-size images and uses the finite Radon transform (FRAT) as a building block to overcome the periodization effect of a finite transform.

The Radon Transform - Theory and Implementation

TL;DR: In this article, the Radon and Hough transform is used for curve detection in digital images and for reconstruction of tomography images, and a new fast scheme for estimating curve parameters is presented.
Journal ArticleDOI

High‐resolution velocity gathers and offset space reconstruction

TL;DR: In this paper, a high-resolution procedure to reconstruct common-midpoint (CMP) gathers is presented, in which the target is the artifacts-free, aperture-compensated velocity gather.
Journal ArticleDOI

Deep Learning Techniques for Inverse Problems in Imaging

TL;DR: A taxonomy that can be used to categorize different problems and reconstruction methods in deep neural networks and discusses the tradeoffs associated with these different reconstruction approaches, caveats and common failure modes.

Directional multiresolution image representations

Minh N. Do
TL;DR: This thesis focuses on the development of new "true" two-dimensional representations for images using a discrete framework that can lead to algorithmic implementations and a new family of block directional and orthonormal transforms based on the ridgelet idea.
References
More filters
Journal ArticleDOI

Prolate spheroidal wave functions, fourier analysis and uncertainty — II

TL;DR: In this paper, the authors apply the theory developed in the preceding paper to a number of questions about timelimited and bandlimited signals, and find the signals which do the best job of simultaneous time and frequency concentration.
Journal ArticleDOI

The Fourier reconstruction of a head section

TL;DR: The authors compare the Fourier algorithm and a search algorithm using a simulated phantom to speed the search algorithm by using fewer interactions leaves decreased resolution in the region just inside the skull which could mask a subdural hematoma.
Journal ArticleDOI

A survey of the Hough transform

TL;DR: This survey will provide a useful guide to quickly acquaint researchers with the main literature in this research area and it seems likely that the Hough transform will be an increasingly used technique.
Book

The Radon Transform and Some of Its Applications

TL;DR: In this article, the authors provide basic information about the properties of radon transform and provide guidance to literature related to transform, and are aimed at those with a basic undergraduate background in mathematics.
Journal ArticleDOI

Prolate spheroidal wave functions, fourier analysis, and uncertainty — V: the discrete case

TL;DR: In this article, the authors investigated the extent to which a time series can be concentrated on a finite index set and also have its spectrum concentrated on subinterval of the fundamental period of the spectrum.