English

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

Numerical Analysis 2023-09-20 v1 Numerical Analysis Image and Video Processing

Abstract

The dual-tree complex wavelet transform (DT-C\mathbb{C}WT) is extended to the 4D setting. Key properties of 4D DT-C\mathbb{C}WT, such as directional sensitivity and shift-invariance, are discussed and illustrated in a tomographic application. The inverse problem of reconstructing a dynamic three-dimensional target from X-ray projection measurements can be formulated as 4D space-time tomography. The results suggest that 4D DT-C\mathbb{C}WT offers simple implementations combined with useful theoretical properties for tomographic reconstruction.

Cite

@article{arxiv.2103.15674,
  title  = {4D Dual-Tree Complex Wavelets for Time-Dependent Data},
  author = {Tatiana A. Bubba and Tommi Heikkilä and Samuli Siltanen},
  journal= {arXiv preprint arXiv:2103.15674},
  year   = {2023}
}
R2 v1 2026-06-24T00:39:13.916Z