arXiv Computer Vision By Antoine Moevus, Max Mignotte

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

Read the original on arXiv Computer Vision →

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.

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