TY - JOUR
T1 - Edge detection with trigonometric polynomial shearlets
AU - Schober, Kevin
AU - Prestin, Jürgen
AU - Stasyuk, Serhii A.
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021/2
Y1 - 2021/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85100615468&partnerID=8YFLogxK
U2 - 10.1007/s10444-020-09838-3
DO - 10.1007/s10444-020-09838-3
M3 - Journal articles
AN - SCOPUS:85100615468
SN - 1019-7168
VL - 47
JO - Advances in Computational Mathematics
JF - Advances in Computational Mathematics
IS - 1
M1 - 17
ER -