Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Edge detection with trigonometric polynomial shearlets

Kevin Schober*, Jürgen Prestin, Serhii A. Stasyuk

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

In this paper, we show that certain trigonometric polynomial shearlets which are special cases of directional de la Vallée Poussin-type wavelets are able to detect step discontinuities along boundary curves of periodic characteristic functions. Motivated by recent results for discrete shearlets in two dimensions, we provide lower and upper estimates for the magnitude of the corresponding inner products. In the proof, we use localization properties of trigonometric polynomial shearlets in the time and frequency domain and, among other things, bounds for certain Fresnel integrals. Moreover, we give numerical examples which underline the theoretical results.

OriginalspracheEnglisch
Aufsatznummer17
ZeitschriftAdvances in Computational Mathematics
Jahrgang47
Ausgabenummer1
ISSN1019-7168
DOIs
PublikationsstatusVeröffentlicht - 02.2021

Fördermittel

The authors were supported by H2020-MSCA-RISE-2014 Project number 645672 (AMMODIT: Approximation Methods for Molecular Modelling and Diagnosis Tools). Open Access funding enabled and organized by Projekt DEAL.

Fingerprint

Untersuchen Sie die Forschungsthemen von „Edge detection with trigonometric polynomial shearlets“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren