4D Dual-Tree Complex Wavelets for Time-Dependent Data

被引：1
|
作者：
Bubba, Tatiana A. [1 ]
Heikkila, Tommi [1 ]
Siltanen, Samuli [1 ]
机构：
[1] Univ Helsinki, Dept Math & Stat, Helsinki, Finland
来源：
2021 21ST INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ITS APPLICATIONS ICCSA 2021 | 2021年
基金：
芬兰科学院;
关键词：
complex wavelets; dynamic X-ray tomography;
D O I：
10.1109/ICCSA54496.2021.00029
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The dual-tree complex wavelet transform (DT-CWT) is extended to the 4D setting. Key properties of 4D DT-CWT, such as directional sensitivity and shift-invariance, are discussed and illustrated in a tomographic application. The inverse problem of reconstnicting a dynamic three-dimensional target from X-ray projection measurements can be formulated as 4D space-time tomography. The results suggest that 4D DT-CWT offers simple implementations combined with useful theoretical properties for tomographic reconstruction.
引用
收藏
页码：146 / 156
页数：11
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