MultiResolution Low-Rank Regularization of Dynamic Imaging Problems
arXiv:2502.20977 · doi:10.1007/978-3-031-92366-1_6
Abstract
MultiResolution Low-Rank decomposition is formulated for regularization of dynamic image sequences. The decomposition applies a local low-rank decomposition on a sequence of discrete wavelet transforms. Its effective formulation as a regularization functional is discussed and numerically tested for dynamic X-ray tomography in comparison to other low-rank methods. The results suggest it is similar to traditional locally low-rank decomposition but produces less severe block artifacts.
13 pages, 5 figures, SSVM 2025 conference