arXiv Computer Vision

Translation-Invariant Tile-Based Phase Unwrapping with Residual-Weighted Multipath Averaging

arXiv Computer Vision
Sep 25

Adaptive Tiling for Least-Squares Phase Unwrapping: Runtime and Accuracy

The paper studies adaptive tiling strategies for least-squares phase unwrapping, comparing regular grids, quadtree, and kd-tree partitions. It evaluates nine criteria for quadtree subdivision, such as residue count and fringe density, across various tile sizes and budgets. Experiments show that while adaptive partitions use fewer tiles, they are slower than optimized grids and can reduce accuracy, indicating that partition construction and larger tile solving outweigh boundary savings.

By Antoine Moevus, Max Mignotte
arXiv Machine Learning
Jun 8

On the conditional equivalence of phase retrieval algorithms

arXiv:2606. 07257v1 Announce Type: cross Abstract: Phase retrieval - recovering a complex-valued field from intensity measurements - is typically solved using variants of the Gerchberg-Saxton (GS) algorithm, understood as alternating projections between measurement planes.

By Jakob Schroeder, Andreas D\"opp
arXiv AI
Jun 10

Deep Slice Interpolation for Reducing Through-Plane Anisotropy and Noise in Head CT

arXiv:2606. 09953v1 Announce Type: cross Abstract: Head computed tomography (CT) typically uses sub-millimeter in-plane resolution but 2-5 mm through-plane spacing, creating substantial anisotropy that degrades multiplanar reconstructions, volumetric measurements such as hematoma volume estimation, and downstream algorithms that assume near-isotropic voxels.

By Luis Cort\'es Ferre, Miguel A. Guti\'errez-Naranjo, Marcin Balcerzyk