Abstract High-throughput computational imaging requires efficient processing algorithms to retrieve multi-dimensional and multi-scale information. In phase imaging, retrieval (PR) is required reconstruct both amplitude in complex space from intensity-only measurements. The existing PR suffer the tradeoff among low complexity, robustness measurement noise strong generalization on different modal...

Roughly speaking, let us say that a map between metric spaces is large scale conformal if it maps packings by balls to quasi-balls with limited overlaps. This quasi-isometry invariant notion makes sense for finitely generated groups. Inspired work Benjamini and Schramm, we show under such maps, some kind of dimension increases: exponent volume growth nilpotent groups, the ideal boundary hyperbo...